Started by an SCM change Obtained jenkins_tests/clubb_error_handling_gfortran_test/Jenkinsfile from git https://github.com/larson-group/clubb.git [Pipeline] Start of Pipeline [Pipeline] node Running on mitch in /home/jenkins/workspace/clubb_error_handling_gfortran_test [Pipeline] { [Pipeline] stage [Pipeline] { (Declarative: Checkout SCM) [Pipeline] checkout The recommended git tool is: git Cloning the remote Git repository Cloning repository https://github.com/larson-group/clubb.git > git init /home/jenkins/workspace/clubb_error_handling_gfortran_test # timeout=10 Fetching upstream changes from https://github.com/larson-group/clubb.git > git --version # timeout=10 > git --version # 'git version 2.34.1' using GIT_ASKPASS to set credentials larsongroupsysadmin github token > git fetch --tags --force --progress -- https://github.com/larson-group/clubb.git +refs/heads/*:refs/remotes/origin/* # timeout=10 Avoid second fetch Checking out Revision 7e9b710922cae26f2bcaf92b858ba00bc6b5f040 (refs/remotes/origin/master) Commit message: "Adding prompt to automate updating host models" > git config remote.origin.url https://github.com/larson-group/clubb.git # timeout=10 > git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10 > git rev-parse refs/remotes/origin/master^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 7e9b710922cae26f2bcaf92b858ba00bc6b5f040 # timeout=10 > git rev-list --no-walk 0ccbf4f61f326437ea971ff5eca1eb570e8e4711 # timeout=10 [Pipeline] } [Pipeline] // stage [Pipeline] withEnv [Pipeline] { [Pipeline] stage [Pipeline] { (Run test_fatal_error_handling) [Pipeline] sh + source /etc/profile.d/larson-group.sh ++ export GIT_EDITOR=vi ++ GIT_EDITOR=vi ++ export SVN_EDITOR=vi ++ SVN_EDITOR=vi ++ export OMP_STACKSIZE=1048579 ++ OMP_STACKSIZE=1048579 ++ export LMOD_ROOT=/opt/lmod/ ++ LMOD_ROOT=/opt/lmod/ ++ source /opt/lmod//lmod/lmod/init/bash +++ '[' -z '' ']' +++ case "$-" in +++ __lmod_vx=x +++ '[' -n x ']' +++ set +x Shell debugging temporarily silenced: export LMOD_SH_DBG_ON=1 for this output (/usr/local/spack/opt/spack/linux-pop22-skylake_avx512/gcc-12.2.0/lmod-8.7.37-fq24mybyn2li6got2bxzk62ejh5d3p4z/lmod/lmod/init/bash) Shell debugging restarted +++ unset __lmod_vx +++ find /usr/local/spack/share/spack/lmod/linux-pop22-x86_64/Core -print -quit ++ export MODULEPATH=/usr/local/spack/share/spack/lmod/linux-pop22-x86_64/Core ++ MODULEPATH=/usr/local/spack/share/spack/lmod/linux-pop22-x86_64/Core + module load gcc netcdf-fortran + '[' -z '' ']' + case "$-" in + __lmod_sh_dbg=x + '[' -n x ']' + set +x Shell debugging temporarily silenced: export LMOD_SH_DBG_ON=1 for Lmod's output Lmod Warning: ------------------------------------------------------------------------------- The following dependent module(s) are not currently loaded: gcc-runtime/13.1.0-wiuv7wc (required by: mpich/4.2.1, hdf5/1.14.3-nhc23hl, netcdf-c/4.9.2-xduzp77, netcdf-fortran/4.5.3), glibc/2.35-tdr5czg (required by: mpich/4.2.1, hdf5/1.14.3-nhc23hl, netcdf-c/4.9.2-xduzp77, netcdf-fortran/4.5.3) ------------------------------------------------------------------------------- Shell debugging restarted + unset __lmod_sh_dbg + return 0 + python tests/test_fatal_error_handling.py -- The Fortran compiler identification is GNU 13.1.0 -- The C compiler identification is GNU 13.1.0 -- The CXX compiler identification is GNU 13.1.0 -- Detecting Fortran compiler ABI info -- Detecting Fortran compiler ABI info - done -- Check for working Fortran compiler: /usr/local/spack/opt/spack/linux-pop22-skylake_avx512/gcc-12.2.0/gcc-13.1.0-m5i6qvtqmd4lm4sd2zvpgk75ong5ehbm/bin/gfortran - skipped -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/local/spack/opt/spack/linux-pop22-skylake_avx512/gcc-12.2.0/gcc-13.1.0-m5i6qvtqmd4lm4sd2zvpgk75ong5ehbm/bin/gcc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /usr/local/spack/opt/spack/linux-pop22-skylake_avx512/gcc-12.2.0/gcc-13.1.0-m5i6qvtqmd4lm4sd2zvpgk75ong5ehbm/bin/g++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Compiling with double precision -- Performing Test NETCDF_ABI_COMPATIBLE -- Performing Test NETCDF_ABI_COMPATIBLE - Success -- SUCCESS: netcdf-fortran found. -- -> Library : /usr/local/spack/opt/spack/linux-pop22-skylake_avx512/gcc-13.1.0/netcdf-fortran-4.5.3-rr4amopxiouymfpd5tw5ducrmg4u7a6i/lib/libnetcdff.so -- -> Modules : /usr/local/spack/opt/spack/linux-pop22-skylake_avx512/gcc-13.1.0/netcdf-fortran-4.5.3-rr4amopxiouymfpd5tw5ducrmg4u7a6i/include -- Configuring done -- Generating done -- Build files have been written to: /home/jenkins/workspace/clubb_error_handling_gfortran_test/build/gcc_PRECdouble Using inferred toolchain file: /home/jenkins/workspace/clubb_error_handling_gfortran_test/cmake/toolchains/linux_x86_64_gcc.cmake Setting CLUBB installation dir: /home/jenkins/workspace/clubb_error_handling_gfortran_test/build/gcc_PRECdouble Setting CLUBB installation dir: /home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble about to cmnake /home/jenkins/workspace/clubb_error_handling_gfortran_test/build/gcc_PRECdouble Running CMake configure... 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src/Lapack/Lapack_single/CMakeFiles/clubb_lapack_single.dir/ssyrk.f.o [ 33%] Building Fortran object src/Lapack/Lapack_double/CMakeFiles/clubb_lapack_double.dir/dsytd2.f.o [ 33%] Building Fortran object src/Lapack/Lapack_single/CMakeFiles/clubb_lapack_single.dir/ssytd2.f.o [ 34%] Building Fortran object src/Lapack/Lapack_single/CMakeFiles/clubb_lapack_single.dir/ssytrd.f.o [ 34%] Building Fortran object src/Lapack/Lapack_single/CMakeFiles/clubb_lapack_single.dir/stbsv.f.o [ 34%] Building Fortran object src/Lapack/Lapack_double/CMakeFiles/clubb_lapack_double.dir/dsytrd.f.o [ 34%] Building Fortran object src/Lapack/Lapack_double/CMakeFiles/clubb_lapack_double.dir/dtbsv.f.o [ 35%] Building Fortran object src/Lapack/Lapack_double/CMakeFiles/clubb_lapack_double.dir/dtrmm.f.o [ 35%] Building Fortran object src/Lapack/Lapack_double/CMakeFiles/clubb_lapack_double.dir/dtrmv.f.o [ 35%] Building Fortran object src/Lapack/Lapack_double/CMakeFiles/clubb_lapack_double.dir/dtrsm.f.o [ 35%] Building Fortran object src/Lapack/Lapack_single/CMakeFiles/clubb_lapack_single.dir/strmm.f.o [ 35%] Building Fortran object src/Lapack/Lapack_double/CMakeFiles/clubb_lapack_double.dir/idamax.f.o [ 35%] Building Fortran object src/Lapack/Lapack_single/CMakeFiles/clubb_lapack_single.dir/strmv.f.o [ 35%] Building Fortran object src/Lapack/Lapack_single/CMakeFiles/clubb_lapack_single.dir/strsm.f.o [ 36%] Building Fortran object src/Lapack/Lapack_double/CMakeFiles/clubb_lapack_double.dir/ieeeck.f.o [ 36%] Building Fortran object src/Lapack/Lapack_double/CMakeFiles/clubb_lapack_double.dir/iladlc.f.o [ 36%] Building Fortran object src/Lapack/Lapack_double/CMakeFiles/clubb_lapack_double.dir/iladlr.f.o [ 36%] Building Fortran object src/Lapack/Lapack_double/CMakeFiles/clubb_lapack_double.dir/ilaenv.f.o [ 36%] Building Fortran object src/Lapack/Lapack_double/CMakeFiles/clubb_lapack_double.dir/iparmq.f.o [ 36%] Built target clubb_lapack_double [ 36%] Built target clubb_lapack_single [ 36%] Linking Fortran static library liblapack_lib.a [ 36%] Built target lapack_lib Scanning dependencies of target clubb_core_lib [ 36%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/clubb_precision.F90.o [ 36%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/parameter_indices.F90.o [ 36%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/array_index.F90.o [ 37%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/lapack_interfaces.F90.o [ 37%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/model_flags.F90.o [ 37%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/error_code.F90.o [ 37%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/constants_clubb.F90.o [ 38%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/penta_lu_solver.F90.o [ 38%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/tridiag_lu_solver.F90.o [ 39%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/endian.F90.o /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/CLUBB_core/endian.F90:167:53: 167 | call mvbits( i_element, 56, 8, i_element_br, 0 ) | ^ Warning: 'i_element_br' is used uninitialized [-Wuninitialized] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/CLUBB_core/endian.F90:159:39: 159 | integer(kind=int64) :: i_element_br | ^ note: 'i_element_br' declared here /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/CLUBB_core/endian.F90:123:53: 123 | CALL MVBITS( i_element, 24, 8, i_element_br, 0 ) | ^ Warning: 'i_element_br' is used uninitialized [-Wuninitialized] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/CLUBB_core/endian.F90:117:69: 117 | INTEGER(KIND=int32) :: i_element_br | ^ note: 'i_element_br' declared here [ 39%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/LY93_pdf.F90.o [ 40%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/Nc_Ncn_eqns.F90.o [ 40%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/T_in_K_module.F90.o [ 40%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/err_info_type_module.F90.o [ 40%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/calc_roots.F90.o [ 40%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/file_functions.F90.o [ 41%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/calendar.F90.o [ 41%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/penta_bicgstab_solver.F90.o [ 41%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/pdf_parameter_module.F90.o [ 42%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/mean_adv.F90.o /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/CLUBB_core/penta_bicgstab_solver.F90:140:10: 140 | if ( norm_rhs == 0.0) then | 1 Warning: Equality comparison for REAL(8) at (1) [-Wcompare-reals] [ 42%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/new_hybrid_pdf.F90.o [ 42%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/new_tsdadg_pdf.F90.o [ 42%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/hydromet_pdf_parameter_module.F90.o [ 42%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/diagnose_correlations_module.F90.o [ 43%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/code_timer_module.F90.o [ 43%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/interpolation.F90.o [ 43%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/matrix_operations.F90.o [ 43%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/lapack_wrap.F90.o [ 43%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/new_pdf.F90.o [ 43%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/adg1_adg2_3d_luhar_pdf.F90.o [ 43%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/Skx_module.F90.o [ 43%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/grid_class.F90.o [ 43%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/corr_varnce_module.F90.o [ 43%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/index_mapping.F90.o [ 43%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/matrix_solver_wrapper.F90.o [ 43%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/saturation.F90.o [ 44%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/parameters_tunable.F90.o [ 44%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/remapping_module.F90.o [ 44%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/sponge_layer_damping.F90.o [ 44%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/diffusion.F90.o [ 44%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/pos_definite_module.F90.o [ 44%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/turbulent_adv_pdf.F90.o /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/CLUBB_core/remapping_module.F90:1210:43: 1210 | if(f(i,k+1)*f(i,k-1)<zero .and. df2(i,k)/=zero) then | 1 Warning: Inequality comparison for REAL(8) at (1) [-Wcompare-reals] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/CLUBB_core/remapping_module.F90:1104:15: 1104 | if(dm(i) == zero) then | 1 Warning: Equality comparison for REAL(8) at (1) [-Wcompare-reals] [ 44%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/calc_pressure.F90.o [ 44%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/sigma_sqd_w_module.F90.o /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/CLUBB_core/remapping_module.F90:185:71: 185 | *( val_below + lin_spline_rho_vals(l) )/2 | ^ Warning: 'level_below' may be used uninitialized [-Wmaybe-uninitialized] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/CLUBB_core/remapping_module.F90:129:17: 129 | level_below, & ! The altitude of the level or spline connection point below [m] | ^ note: 'level_below' was declared here /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/CLUBB_core/remapping_module.F90:185:71: 185 | *( val_below + lin_spline_rho_vals(l) )/2 | ^ Warning: 'val_below' may be used uninitialized [-Wmaybe-uninitialized] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/CLUBB_core/remapping_module.F90:128:15: 128 | val_below, & ! The rho value of the level or spline connection point below [kg/m^3] | ^ note: 'val_below' was declared here /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/CLUBB_core/parameters_tunable.F90:438:46: 438 | write(fstderr, *) err_info%err_header(i) | ^ Warning: 'i' may be used uninitialized [-Wmaybe-uninitialized] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/CLUBB_core/parameters_tunable.F90:407:19: 407 | integer :: k, i ! loop variable | ^ note: 'i' was declared here [ 45%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/stats_netcdf.F90.o [ 45%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/new_hybrid_pdf_main.F90.o [ 45%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/new_pdf_main.F90.o [ 46%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/fill_holes.F90.o [ 46%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/advance_helper_module.F90.o [ 46%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/mono_flux_limiter.F90.o [ 46%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/precipitation_fraction.F90.o [ 46%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/numerical_check.F90.o [ 46%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/advance_xp3_module.F90.o [ 47%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/clip_explicit.F90.o [ 47%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/pdf_utilities.F90.o [ 47%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/grid_adaptation_module.F90.o [ 48%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/advance_xm_wpxp_module.F90.o [ 48%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/advance_xp2_xpyp_module.F90.o [ 48%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/advance_windm_edsclrm_module.F90.o [ 48%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/advance_wp2_wp3_module.F90.o [ 48%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/setup_clubb_pdf_params.F90.o [ 48%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/mixing_length.F90.o [ 48%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/pdf_closure_module.F90.o /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/CLUBB_core/mixing_length.F90:1096:16: 1096 | if ( abs( dCAPE_dz_j - dCAPE_dz_j_minus_1 ) * 2 <= & | ^ Warning: 'dcape_dz_j' may be used uninitialized [-Wmaybe-uninitialized] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/CLUBB_core/mixing_length.F90:730:42: 730 | real( kind = core_rknd ) :: dCAPE_dz_j, dCAPE_dz_j_minus_1, dCAPE_dz_j_plus_1 | ^ note: 'dcape_dz_j' was declared here [ 49%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/sfc_varnce_module.F90.o [ 50%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/stats_clubb_utilities.F90.o /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/CLUBB_core/advance_wp2_wp3_module.F90:1918:12: 1918 | if ( abs(wp2_avg_before - wp2_avg_after) > epsilon(wp2_avg_after)*1000 ) then | ^ Warning: 'wp2_avg_before' may be used uninitialized [-Wmaybe-uninitialized] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/CLUBB_core/advance_wp2_wp3_module.F90:1470:20: 1470 | wp2_avg_before, & | ^ note: 'wp2_avg_before' was declared here [ 51%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/advance_clubb_core_module.F90.o [ 51%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/clubb_api_module.F90.o [ 51%] Linking Fortran static library libclubb_core_lib.a [ 51%] Built target clubb_core_lib Scanning dependencies of target microphys_utils_lib Scanning dependencies of target text_writer_lib [ 51%] Building Fortran object src/Microphys/Microphys_utils/CMakeFiles/microphys_utils_lib.dir/microphys_stats_vars_module.F90.o [ 51%] Building Fortran object src/CMakeFiles/text_writer_lib.dir/text_writer.F90.o Scanning dependencies of target bugsrad_lib Scanning dependencies of target coamps_lib [ 52%] Building Fortran object src/Radiation/BUGSrad/CMakeFiles/bugsrad_lib.dir/kinds.F90.o [ 52%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/adjmlt.F.o [ 52%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa10g.F.o [ 53%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/conice.F.o [ 53%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa11g.F.o [ 53%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/adjtq.F.o [ 53%] Building Fortran object src/Radiation/BUGSrad/CMakeFiles/bugsrad_lib.dir/bugsrad_physconst.F90.o [ 53%] Building Fortran object src/Radiation/BUGSrad/CMakeFiles/bugsrad_lib.dir/bugsrad_planck.F90.o [ 53%] Building Fortran object src/Radiation/BUGSrad/CMakeFiles/bugsrad_lib.dir/cloud_correlate.F90.o [ 53%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa12.F.o [ 54%] Linking Fortran static library libtext_writer_lib.a [ 54%] Linking Fortran static library libmicrophys_utils_lib.a [ 54%] Building Fortran object src/Radiation/BUGSrad/CMakeFiles/bugsrad_lib.dir/newexp.F90.o [ 55%] Building Fortran object src/Radiation/BUGSrad/CMakeFiles/bugsrad_lib.dir/bugs_rad.F.o [ 55%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa12g.F.o [ 55%] Built target text_writer_lib [ 56%] Building Fortran object src/Radiation/BUGSrad/CMakeFiles/bugsrad_lib.dir/cloudg.F.o [ 56%] Building Fortran object src/Radiation/BUGSrad/CMakeFiles/bugsrad_lib.dir/comscp1.F.o [ 56%] Built target microphys_utils_lib [ 57%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa13g.F.o [ 57%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa14g.F.o Scanning dependencies of target KK_microphys_lib [ 57%] Building Fortran object src/Microphys/KK_microphys/CMakeFiles/KK_microphys_lib.dir/Parabolic_constants.f90.o [ 57%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa15.F.o [ 57%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa17g.F.o [ 57%] Building Fortran object src/Radiation/BUGSrad/CMakeFiles/bugsrad_lib.dir/comscp2.F.o [ 57%] Building Fortran object src/Radiation/BUGSrad/CMakeFiles/bugsrad_lib.dir/rayle.F.o [ 57%] Building Fortran object src/Microphys/KK_microphys/CMakeFiles/KK_microphys_lib.dir/parameters_KK.F90.o [ 57%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa18.F.o [ 57%] Building Fortran object src/Radiation/BUGSrad/CMakeFiles/bugsrad_lib.dir/two_rt_lw.F.o Scanning dependencies of target morrison_microphys_lib [ 58%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa18g.F.o [ 59%] Building Fortran object src/Radiation/BUGSrad/CMakeFiles/bugsrad_lib.dir/two_rt_lw_iter.F.o [ 59%] Building Fortran object src/Radiation/BUGSrad/CMakeFiles/bugsrad_lib.dir/two_rt_lw_ocastrndm.F90.o [ 59%] Building Fortran object src/Microphys/Morrison_microphys/CMakeFiles/morrison_microphys_lib.dir/module_mp_graupel.F90.o [ 59%] Building Fortran object src/Microphys/KK_microphys/CMakeFiles/KK_microphys_lib.dir/AiryFunction.f90.o [ 59%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa19.F.o [ 59%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa19g.F.o [ 59%] Building Fortran object src/Microphys/KK_microphys/CMakeFiles/KK_microphys_lib.dir/KK_local_means.F90.o [ 59%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa20g.F.o [ 59%] Building Fortran object src/Radiation/BUGSrad/CMakeFiles/bugsrad_lib.dir/two_rt_lw_sel.F.o [ 60%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa21.F.o [ 60%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa21g.F.o [ 60%] Building Fortran object src/Radiation/BUGSrad/CMakeFiles/bugsrad_lib.dir/two_rt_sw_bs.F.o [ 60%] Building Fortran object src/Microphys/KK_microphys/CMakeFiles/KK_microphys_lib.dir/Parabolic.f90.o [ 60%] Building Fortran object src/Radiation/BUGSrad/CMakeFiles/bugsrad_lib.dir/two_rt_sw.F.o [ 60%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa22.F.o [ 61%] Building Fortran object src/Radiation/BUGSrad/CMakeFiles/bugsrad_lib.dir/two_rt_sw_iter.F.o [ 61%] Building Fortran object src/Radiation/BUGSrad/CMakeFiles/bugsrad_lib.dir/two_rt_sw_ocastrndm.F90.o [ 61%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa22g.F.o [ 61%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa25.F.o [ 62%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa26.F.o [ 62%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa27.F.o [ 62%] Building Fortran object src/Radiation/BUGSrad/CMakeFiles/bugsrad_lib.dir/gascon.F.o [ 62%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa27r.F.o [ 62%] Building Fortran object src/Radiation/BUGSrad/CMakeFiles/bugsrad_lib.dir/gases_ckd.F90.o [ 63%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa5g.F.o [ 63%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa6.F.o [ 63%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa28.F.o [ 63%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa7.F.o [ 63%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa7g.F.o [ 63%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa8g.F.o [ 63%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa9g.F.o [ 64%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/eqa9.F.o [ 64%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/esati.F.o [ 64%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/esatv.F.o [ 64%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/esat_new.F.o [ 65%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/frzh.F.o [ 65%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/gamma.F.o [ 65%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/nrmtqi.F.o [ 65%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/nrmcol.F.o [ 65%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/qsatvi.F.o [ 66%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/nrmtqw.F.o [ 66%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/qtadj.F.o [ 66%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/slope.F.o [ 66%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/tgqg.F.o [ 67%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/tgqi.F.o [ 67%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/tgqr.F.o [ 67%] Building Fortran object src/Microphys/COAMPS_microphys/CMakeFiles/coamps_lib.dir/tgqs.F.o [ 67%] Linking Fortran static library libcoamps_lib.a [ 67%] Built target coamps_lib [ 68%] Building Fortran object src/Microphys/KK_microphys/CMakeFiles/KK_microphys_lib.dir/KK_utilities.F90.o [ 68%] Building Fortran object src/Radiation/BUGSrad/CMakeFiles/bugsrad_lib.dir/bugs_lwr.F.o [ 68%] Building Fortran object src/Radiation/BUGSrad/CMakeFiles/bugsrad_lib.dir/bugs_swr.F.o [ 68%] Building Fortran object src/Microphys/KK_microphys/CMakeFiles/KK_microphys_lib.dir/PDF_integrals_covar.F90.o [ 68%] Building Fortran object src/Microphys/KK_microphys/CMakeFiles/KK_microphys_lib.dir/PDF_integrals_means.F90.o [ 69%] Building Fortran object src/Microphys/KK_microphys/CMakeFiles/KK_microphys_lib.dir/PDF_integrals_all_MM.F90.o [ 69%] Building Fortran object src/Microphys/KK_microphys/CMakeFiles/KK_microphys_lib.dir/KK_upscaled_means.F90.o [ 70%] Building Fortran object src/Microphys/KK_microphys/CMakeFiles/KK_microphys_lib.dir/KK_upscaled_turbulent_sed.F90.o [ 70%] Building Fortran object src/Microphys/KK_microphys/CMakeFiles/KK_microphys_lib.dir/KK_Nrm_tendencies.F90.o [ 70%] Building Fortran object src/Microphys/KK_microphys/CMakeFiles/KK_microphys_lib.dir/KK_upscaled_covariances.F90.o [ 70%] Building Fortran object src/Microphys/KK_microphys/CMakeFiles/KK_microphys_lib.dir/KK_upscaled_variances.F90.o [ 70%] Linking Fortran static library libbugsrad_lib.a [ 70%] Built target bugsrad_lib [ 71%] Linking Fortran static library libKK_microphys_lib.a [ 71%] Built target KK_microphys_lib Scanning dependencies of target silhs_lib [ 71%] Building Fortran object src/SILHS/CMakeFiles/silhs_lib.dir/latin_hypercube_arrays.F90.o [ 72%] Building Fortran object src/SILHS/CMakeFiles/silhs_lib.dir/transform_to_pdf_module.F90.o [ 73%] Building Fortran object src/SILHS/CMakeFiles/silhs_lib.dir/parameters_silhs.F90.o [ 73%] Building Fortran object src/SILHS/CMakeFiles/silhs_lib.dir/est_kessler_microphys_module.F90.o [ 73%] Building Fortran object src/SILHS/CMakeFiles/silhs_lib.dir/mt95.F90.o [ 73%] Building Fortran object src/SILHS/CMakeFiles/silhs_lib.dir/generate_uniform_sample_module.F90.o [ 73%] Building Fortran object src/SILHS/CMakeFiles/silhs_lib.dir/math_utilities.F90.o [ 73%] Building Fortran object src/SILHS/CMakeFiles/silhs_lib.dir/silhs_importance_sample_module.F90.o [ 74%] Building Fortran object src/SILHS/CMakeFiles/silhs_lib.dir/lh_microphys_var_covar_module.F90.o /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/SILHS/silhs_importance_sample_module.F90:638:62: 633 | do category=1, num_importance_categories | 2 ...... 638 | rand_vect(sample) < category_cumulative_probs(category+1) ) then | 1 Warning: Array reference at (1) out of bounds (9 > 8) in loop beginning at (2) [-Wdo-subscript] [ 74%] Building Fortran object src/SILHS/CMakeFiles/silhs_lib.dir/latin_hypercube_driver_module.F90.o [ 74%] Linking Fortran static library libmorrison_microphys_lib.a [ 74%] Built target morrison_microphys_lib /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/SILHS/latin_hypercube_driver_module.F90:1595:10: 1595 | if ( X_u_chi(sample) < (one - cloud_frac_i) ) then | ^ Warning: 'cloud_frac_i' may be used uninitialized [-Wmaybe-uninitialized] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/SILHS/latin_hypercube_driver_module.F90:1577:18: 1577 | cloud_frac_i | ^ note: 'cloud_frac_i' was declared here [ 74%] Building Fortran object src/SILHS/CMakeFiles/silhs_lib.dir/silhs_api_module.F90.o [ 74%] Linking Fortran static library libsilhs_lib.a [ 74%] Built target silhs_lib Scanning dependencies of target numerical_recipes_lib Scanning dependencies of target radiation_lib [ 75%] Building Fortran object src/Numerical_recipes/CMakeFiles/numerical_recipes_lib.dir/quicksort.F90.o [ 75%] Building Fortran object src/Numerical_recipes/CMakeFiles/numerical_recipes_lib.dir/nrtype.f90.o [ 76%] Building Fortran object src/Radiation/CMakeFiles/radiation_lib.dir/rad_lwsw_module.F90.o [ 76%] Building Fortran object src/Radiation/CMakeFiles/radiation_lib.dir/cos_solar_zen_module.F90.o [ 76%] Building Fortran object src/Radiation/CMakeFiles/radiation_lib.dir/parameters_radiation.F90.o [ 76%] Building Fortran object src/Radiation/CMakeFiles/radiation_lib.dir/soil_vegetation.F90.o [ 76%] Building Fortran object src/Numerical_recipes/CMakeFiles/numerical_recipes_lib.dir/enhanced_simann.F90.o [ 76%] Building Fortran object src/Radiation/CMakeFiles/radiation_lib.dir/simple_rad_module.F90.o [ 76%] Building Fortran object src/Radiation/CMakeFiles/radiation_lib.dir/extended_atmosphere_module.F90.o [ 76%] Building Fortran object src/Numerical_recipes/CMakeFiles/numerical_recipes_lib.dir/nr.f90.o [ 77%] Building Fortran object src/Numerical_recipes/CMakeFiles/numerical_recipes_lib.dir/nrutil.f90.o [ 78%] Building Fortran object src/Radiation/CMakeFiles/radiation_lib.dir/radiation_variables_module.F90.o [ 78%] Building Fortran object src/Radiation/CMakeFiles/radiation_lib.dir/bugsrad_driver.F90.o [ 79%] Building Fortran object src/Numerical_recipes/CMakeFiles/numerical_recipes_lib.dir/amebsa.f90.o [ 79%] Building Fortran object src/Numerical_recipes/CMakeFiles/numerical_recipes_lib.dir/amoeba.f90.o [ 79%] Building Fortran object src/Numerical_recipes/CMakeFiles/numerical_recipes_lib.dir/ran_state.f90.o /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/Numerical_recipes/ran_state.f90:8:59: 8 | INTEGER(K4B), PARAMETER :: hg=huge(1_K4B), hgm=-hg, hgng=hgm-1 | 1 Warning: Integer outside symmetric range implied by Standard Fortran at (1) [ 79%] Building Fortran object src/Numerical_recipes/CMakeFiles/numerical_recipes_lib.dir/ran1_s.f90.o [ 79%] Building Fortran object src/Numerical_recipes/CMakeFiles/numerical_recipes_lib.dir/ran1_v.f90.o [ 79%] Linking Fortran static library libnumerical_recipes_lib.a [ 79%] Built target numerical_recipes_lib [ 79%] Building Fortran object src/Radiation/CMakeFiles/radiation_lib.dir/radiation_module.F90.o [ 79%] Linking Fortran static library libradiation_lib.a [ 79%] Built target radiation_lib Scanning dependencies of target input_fields_lib [ 79%] Building Fortran object src/Input_fields/CMakeFiles/input_fields_lib.dir/extrapolation.F90.o [ 79%] Building Fortran object src/Input_fields/CMakeFiles/input_fields_lib.dir/input_names.F90.o [ 79%] Building Fortran object src/Input_fields/CMakeFiles/input_fields_lib.dir/hydrostatic_module.F90.o [ 79%] Building Fortran object src/Input_fields/CMakeFiles/input_fields_lib.dir/stat_file_module.F90.o [ 79%] Building Fortran object src/Input_fields/CMakeFiles/input_fields_lib.dir/input_reader.F90.o /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/Input_fields/input_reader.F90:498:28: 491 | do i=1, dim_grid | 2 ...... 498 | if ( grid(i) < grid(i-1) ) then | 1 Warning: Array reference at (1) out of bounds (0 < 1) in loop beginning at (2) [-Wdo-subscript] [ 79%] Building Fortran object src/Input_fields/CMakeFiles/input_fields_lib.dir/input_netcdf.F90.o [ 80%] Building Fortran object src/Input_fields/CMakeFiles/input_fields_lib.dir/stat_file_utils.F90.o [ 81%] Building Fortran object src/Input_fields/CMakeFiles/input_fields_lib.dir/corr_varnce_input_reader.F90.o [ 81%] Building Fortran object src/Input_fields/CMakeFiles/input_fields_lib.dir/input_interpret.F90.o [ 82%] Building Fortran object src/Input_fields/CMakeFiles/input_fields_lib.dir/input_fields.F90.o [ 82%] Building Fortran object src/Input_fields/CMakeFiles/input_fields_lib.dir/sounding.F90.o /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/Input_fields/sounding.F90:156:13: 156 | p_in_Pa, & ! Pressure [Pa] | 1 Warning: Array 'p_in_pa' at (1) is larger than limit set by '-fmax-stack-var-size=', moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the '-fmax-stack-var-size=' limit (or use '-frecursive', which implies unlimited '-fmax-stack-var-size') - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/Input_fields/sounding.F90:151:8: 151 | rt, & ! Total water mixing ratio sounding [kg/kg] | 1 Warning: Array 'rt' at (1) is larger than limit set by '-fmax-stack-var-size=', moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the '-fmax-stack-var-size=' limit (or use '-frecursive', which implies unlimited '-fmax-stack-var-size') - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/Input_fields/sounding.F90:157:10: 157 | subs ! Vertical velocity sounding [m/s or Pa/s] | 1 Warning: Array 'subs' at (1) is larger than limit set by '-fmax-stack-var-size=', moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the '-fmax-stack-var-size=' limit (or use '-frecursive', which implies unlimited '-fmax-stack-var-size') - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/Input_fields/sounding.F90:150:11: 150 | theta, & ! Liquid potential temperature sounding [K] | 1 Warning: Array 'theta' at (1) is larger than limit set by '-fmax-stack-var-size=', moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the '-fmax-stack-var-size=' limit (or use '-frecursive', which implies unlimited '-fmax-stack-var-size') - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/Input_fields/sounding.F90:152:7: 152 | u, & ! u wind sounding [m/s] | 1 Warning: Array 'u' at (1) is larger than limit set by '-fmax-stack-var-size=', moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the '-fmax-stack-var-size=' limit (or use '-frecursive', which implies unlimited '-fmax-stack-var-size') - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/Input_fields/sounding.F90:154:8: 154 | ug, & ! u geostrophic wind sounding [m/s] | 1 Warning: Array 'ug' at (1) is larger than limit set by '-fmax-stack-var-size=', moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the '-fmax-stack-var-size=' limit (or use '-frecursive', which implies unlimited '-fmax-stack-var-size') - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/Input_fields/sounding.F90:153:7: 153 | v, & ! v wind sounding [m/s] | 1 Warning: Array 'v' at (1) is larger than limit set by '-fmax-stack-var-size=', moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the '-fmax-stack-var-size=' limit (or use '-frecursive', which implies unlimited '-fmax-stack-var-size') - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/Input_fields/sounding.F90:155:8: 155 | vg, & ! v geostrophic wind sounding [m/s] | 1 Warning: Array 'vg' at (1) is larger than limit set by '-fmax-stack-var-size=', moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the '-fmax-stack-var-size=' limit (or use '-frecursive', which implies unlimited '-fmax-stack-var-size') - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/Input_fields/sounding.F90:149:7: 149 | z, & ! Altitude [m] | 1 Warning: Array 'z' at (1) is larger than limit set by '-fmax-stack-var-size=', moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the '-fmax-stack-var-size=' limit (or use '-frecursive', which implies unlimited '-fmax-stack-var-size') - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] [ 82%] Linking Fortran static library libinput_fields_lib.a [ 82%] Built target input_fields_lib Scanning dependencies of target G_unit_test_lib Scanning dependencies of target benchmark_cases_lib Scanning dependencies of target microphys_lib [ 82%] Building Fortran object src/G_unit_test_types/CMakeFiles/G_unit_test_lib.dir/Nc_Ncn_test.F90.o [ 82%] Building Fortran object src/G_unit_test_types/CMakeFiles/G_unit_test_lib.dir/KK_integrals_tests.F90.o [ 82%] Building Fortran object src/G_unit_test_types/CMakeFiles/G_unit_test_lib.dir/corr_cholesky_mtx_tests.F90.o [ 82%] Building Fortran object src/G_unit_test_types/CMakeFiles/G_unit_test_lib.dir/fill_holes_tests.F90.o [ 82%] Building Fortran object src/G_unit_test_types/CMakeFiles/G_unit_test_lib.dir/hole_filling_tests.F90.o [ 82%] Building Fortran object src/G_unit_test_types/CMakeFiles/G_unit_test_lib.dir/mu_sigma_hm_tests.F90.o [ 83%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/diag_ustar_module.F90.o [ 83%] Building Fortran object src/Microphys/CMakeFiles/microphys_lib.dir/parameters_microphys.F90.o /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/G_unit_test_types/fill_holes_tests.F90:407:27: 407 | .or. any( field(:,upper_hf_level:nz) /= field(:,upper_hf_level:nz) ) ) then | 1 Warning: Inequality comparison for REAL(8) at (1) [-Wcompare-reals] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/G_unit_test_types/fill_holes_tests.F90:406:22: 406 | if ( any( field(:,1:lower_hf_level) /= field(:,1:lower_hf_level) ) & | 1 Warning: Inequality comparison for REAL(8) at (1) [-Wcompare-reals] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/G_unit_test_types/fill_holes_tests.F90:462:22: 462 | if ( any( field_rev_rev /= field ) ) then | 1 Warning: Inequality comparison for REAL(8) at (1) [-Wcompare-reals] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/G_unit_test_types/fill_holes_tests.F90:221:27: 221 | .or. any( field(:,upper_hf_level:nz) /= field(:,upper_hf_level:nz) ) ) then | 1 Warning: Inequality comparison for REAL(8) at (1) [-Wcompare-reals] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/G_unit_test_types/fill_holes_tests.F90:220:22: 220 | if ( any( field(:,1:lower_hf_level) /= field(:,1:lower_hf_level) ) & | 1 Warning: Inequality comparison for REAL(8) at (1) [-Wcompare-reals] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/G_unit_test_types/fill_holes_tests.F90:275:22: 275 | if ( any( field_rev_rev /= field ) ) then | 1 Warning: Inequality comparison for REAL(8) at (1) [-Wcompare-reals] [ 83%] Building Fortran object src/Microphys/CMakeFiles/microphys_lib.dir/cloud_sed_module.F90.o /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/Microphys/cloud_sed_module.F90:166:49: 166 | if ( zt2zm_api( gr, rcm, k ) > zero .AND. zt2zm_api( gr, Ncm, k ) > zero ) then | 1 Warning: Impure function 'redirect_interpolated_azm_k' at (1) might not be evaluated [-Wfunction-elimination] [ 84%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/time_dependent_input.F90.o [ 84%] Building Fortran object src/Microphys/CMakeFiles/microphys_lib.dir/silhs_category_variance_module.F90.o [ 85%] Building Fortran object src/G_unit_test_types/CMakeFiles/G_unit_test_lib.dir/read_corr_mtx_test.F90.o [ 85%] Building Fortran object src/G_unit_test_types/CMakeFiles/G_unit_test_lib.dir/rev_direction_grid_test.F90.o [ 86%] Building Fortran object src/Microphys/CMakeFiles/microphys_lib.dir/gfdl_activation.F90.o [ 86%] Building Fortran object src/G_unit_test_types/CMakeFiles/G_unit_test_lib.dir/silhs_category_test.F90.o [ 87%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/spec_hum_to_mixing_ratio.F90.o [ 87%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/wangara.F90.o [ 87%] Building Fortran object src/Microphys/CMakeFiles/microphys_lib.dir/ice_dfsn_module.F90.o [ 87%] Building Fortran object src/G_unit_test_types/CMakeFiles/G_unit_test_lib.dir/smooth_heaviside_tests.F90.o [ 87%] Building Fortran object src/Microphys/CMakeFiles/microphys_lib.dir/mixed_moment_PDF_integrals.F90.o /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/Microphys/ice_dfsn_module.F90:272:25: 207 | do k = gr%nzt, 1, -1 | 2 ...... 272 | mass_ice_cryst(k-1) = mass_ice_cryst(k) & | 1 Warning: Array reference at (1) out of bounds (0 < 1) in loop beginning at (2) [-Wdo-subscript] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/Microphys/ice_dfsn_module.F90:287:25: 207 | do k = gr%nzt, 1, -1 | 2 ...... 287 | mass_ice_cryst(k-1) = mass_ice_cryst(k) | 1 Warning: Array reference at (1) out of bounds (0 < 1) in loop beginning at (2) [-Wdo-subscript] [ 88%] Building Fortran object src/G_unit_test_types/CMakeFiles/G_unit_test_lib.dir/smooth_min_max_tests.F90.o [ 88%] Building Fortran object src/G_unit_test_types/CMakeFiles/G_unit_test_lib.dir/spurious_source_test.F90.o [ 89%] Building Fortran object src/G_unit_test_types/CMakeFiles/G_unit_test_lib.dir/tuner_tests.F90.o [ 89%] Building Fortran object src/G_unit_test_types/CMakeFiles/G_unit_test_lib.dir/w_up_in_cloud_tests.F90.o /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/G_unit_test_types/mu_sigma_hm_tests.F90:511:17: 511 | if ( any( .not. l_pass_test_3 ) ) then | ^ Warning: 'MEM[(logical(kind=4)[1] *)&l_pass_test_3]' may be used uninitialized [-Wmaybe-uninitialized] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/G_unit_test_types/mu_sigma_hm_tests.F90:137:19: 137 | l_pass_test_3, & ! Flag for passing test 3 | ^ note: 'MEM[(logical(kind=4)[1] *)&l_pass_test_3]' was declared here [ 89%] Building Fortran object src/Microphys/CMakeFiles/microphys_lib.dir/morrison_microphys_module.F90.o [ 89%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/sfc_flux.F90.o [ 89%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/bomex.F90.o [ 90%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/clex9_nov02.F90.o [ 90%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/clex9_oct14.F90.o [ 90%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/jun25.F90.o [ 90%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/mpace_a.F90.o [ 90%] Building Fortran object src/Microphys/CMakeFiles/microphys_lib.dir/advance_microphys_module.F90.o [ 90%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/nov11.F90.o [ 91%] Building Fortran object src/Microphys/CMakeFiles/microphys_lib.dir/coamps_microphys_driver_module.F90.o [ 92%] Building Fortran object src/Microphys/CMakeFiles/microphys_lib.dir/microphys_init_cleanup.F90.o [ 92%] Building Fortran object src/Microphys/CMakeFiles/microphys_lib.dir/pdf_hydromet_microphys_wrapper.F90.o [ 92%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/cloud_feedback.F90.o [ 92%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/cobra.F90.o [ 92%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/dycoms2_rf01.F90.o [ 92%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/dycoms2_rf02.F90.o [ 92%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/ekman.F90.o [ 92%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/fire.F90.o [ 92%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/gabls2.F90.o [ 93%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/gabls3.F90.o [ 93%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/gabls3_night.F90.o [ 93%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/lba.F90.o [ 93%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/neutral_case.F90.o [ 94%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/mpace_b.F90.o [ 94%] Building Fortran object src/G_unit_test_types/CMakeFiles/G_unit_test_lib.dir/pdf_parameter_tests.F90.o [ 94%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/twp_ice.F90.o [ 94%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/rico.F90.o [ 94%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/arm_0003.F90.o [ 94%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/arm.F90.o [ 94%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/arm_3year.F90.o [ 95%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/arm_97.F90.o [ 95%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/astex_a209.F90.o [ 95%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/atex.F90.o [ 95%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/atex_long.F90.o [ 95%] Building Fortran object src/Microphys/CMakeFiles/microphys_lib.dir/KK_microphys_module.F90.o [ 95%] Building Fortran object src/Benchmark_cases/CMakeFiles/benchmark_cases_lib.dir/prescribe_forcings.F90.o [ 95%] Linking Fortran static library libbenchmark_cases_lib.a [ 95%] Built target benchmark_cases_lib [ 95%] Building Fortran object src/Microphys/CMakeFiles/microphys_lib.dir/estimate_scm_microphys_module.F90.o [ 95%] Linking Fortran static library libG_unit_test_lib.a [ 95%] Built target G_unit_test_lib [ 95%] Building Fortran object src/Microphys/CMakeFiles/microphys_lib.dir/lh_microphys_driver_module.F90.o [ 95%] Building Fortran object src/Microphys/CMakeFiles/microphys_lib.dir/microphys_driver.F90.o [ 96%] Linking Fortran static library libmicrophys_lib.a [ 96%] Built target microphys_lib Scanning dependencies of target G_unit_tests Scanning dependencies of target clubb_driver_lib [ 96%] Building Fortran object src/CMakeFiles/G_unit_tests.dir/G_unit_tests.F90.o [ 97%] Building Fortran object src/CMakeFiles/clubb_driver_lib.dir/generalized_grid_test.F90.o [ 97%] Linking Fortran executable G_unit_tests [ 97%] Built target G_unit_tests [ 97%] Building Fortran object src/CMakeFiles/clubb_driver_lib.dir/clubb_driver.F90.o [ 97%] Building Fortran object src/CMakeFiles/clubb_driver_lib.dir/clubb_loss_driver.F90.o /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/clubb_loss_driver.F90:255:28: 255 | is_finite_core_value = ( value == value ) .and. ( abs( value ) <= huge( value ) ) | 1 Warning: Equality comparison for REAL(8) at (1) [-Wcompare-reals] [ 97%] Linking Fortran static library libclubb_driver_lib.a [ 97%] Built target clubb_driver_lib Scanning dependencies of target clubb_tuner Scanning dependencies of target clubb_thread_test Scanning dependencies of target clubb_loss_driver_test Scanning dependencies of target clubb_standalone_loss Scanning dependencies of target clubb_driver_test Scanning dependencies of target clubb_standalone [ 98%] Building Fortran object src/CMakeFiles/clubb_tuner.dir/error.F90.o [ 98%] Building Fortran object src/CMakeFiles/clubb_thread_test.dir/clubb_thread_test.F90.o [ 99%] Building Fortran object src/CMakeFiles/clubb_loss_driver_test.dir/clubb_loss_driver_test.F90.o [100%] Building Fortran object src/CMakeFiles/clubb_standalone_loss.dir/clubb_standalone_loss.F90.o [100%] Building Fortran object src/CMakeFiles/clubb_standalone.dir/clubb_standalone.F90.o [100%] Building Fortran object src/CMakeFiles/clubb_driver_test.dir/clubb_driver_test.F90.o /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/clubb_loss_driver_test.F90:273:14: 273 | if ( any( test_scaled_rmse /= reference_scaled_rmse ) ) then | 1 Warning: Inequality comparison for REAL(8) at (1) [-Wcompare-reals] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/clubb_loss_driver_test.F90:278:14: 278 | if ( any( test_correlation /= reference_correlation ) ) then | 1 Warning: Inequality comparison for REAL(8) at (1) [-Wcompare-reals] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/clubb_loss_driver_test.F90:283:14: 283 | if ( any( test_std_ratio /= reference_std_ratio ) ) then | 1 Warning: Inequality comparison for REAL(8) at (1) [-Wcompare-reals] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/clubb_loss_driver_test.F90:288:14: 288 | if ( any( test_centered_rmse_norm /= reference_centered_rmse_norm ) ) then | 1 Warning: Inequality comparison for REAL(8) at (1) [-Wcompare-reals] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/clubb_loss_driver_test.F90:293:14: 293 | if ( any( test_bias_norm /= reference_bias_norm ) ) then | 1 Warning: Inequality comparison for REAL(8) at (1) [-Wcompare-reals] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/clubb_loss_driver_test.F90:512:14: 512 | if ( any( clubb_params_all_1 /= clubb_params_all_2 ) ) then | 1 Warning: Inequality comparison for REAL(8) at (1) [-Wcompare-reals] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/clubb_loss_driver_test.F90:521:14: 521 | any( reinit_bias_norm_1 /= reinit_bias_norm_2 ) ) then | 1 Warning: Inequality comparison for REAL(8) at (1) [-Wcompare-reals] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/clubb_loss_driver_test.F90:520:14: 520 | any( reinit_centered_rmse_norm_1 /= reinit_centered_rmse_norm_2 ) .or. & | 1 Warning: Inequality comparison for REAL(8) at (1) [-Wcompare-reals] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/clubb_loss_driver_test.F90:519:14: 519 | any( reinit_std_ratio_1 /= reinit_std_ratio_2 ) .or. & | 1 Warning: Inequality comparison for REAL(8) at (1) [-Wcompare-reals] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/clubb_loss_driver_test.F90:518:14: 518 | any( reinit_correlation_1 /= reinit_correlation_2 ) .or. & | 1 Warning: Inequality comparison for REAL(8) at (1) [-Wcompare-reals] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/clubb_loss_driver_test.F90:517:14: 517 | if ( any( reinit_scaled_rmse_1 /= reinit_scaled_rmse_2 ) .or. & | 1 Warning: Inequality comparison for REAL(8) at (1) [-Wcompare-reals] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/clubb_loss_driver_test.F90:431:14: 431 | if ( all( tweaked_scaled_rmse == reference_scaled_rmse ) ) then | 1 Warning: Equality comparison for REAL(8) at (1) [-Wcompare-reals] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/clubb_loss_driver_test.F90:371:14: 371 | any( manual_bias_norm_2 /= manual_bias_norm_1 ) ) then | 1 Warning: Inequality comparison for REAL(8) at (1) [-Wcompare-reals] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/clubb_loss_driver_test.F90:370:14: 370 | any( manual_centered_rmse_norm_2 /= manual_centered_rmse_norm_1 ) .or. & | 1 Warning: Inequality comparison for REAL(8) at (1) [-Wcompare-reals] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/clubb_loss_driver_test.F90:369:14: 369 | any( manual_std_ratio_2 /= manual_std_ratio_1 ) .or. & | 1 Warning: Inequality comparison for REAL(8) at (1) [-Wcompare-reals] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/clubb_loss_driver_test.F90:368:14: 368 | any( manual_correlation_2 /= manual_correlation_1 ) .or. & | 1 Warning: Inequality comparison for REAL(8) at (1) [-Wcompare-reals] /home/jenkins/workspace/clubb_error_handling_gfortran_test/src/clubb_loss_driver_test.F90:367:14: 367 | if ( any( manual_scaled_rmse_2 /= manual_scaled_rmse_1 ) .or. & | 1 Warning: Inequality comparison for REAL(8) at (1) [-Wcompare-reals] [100%] Linking Fortran executable clubb_thread_test [100%] Linking Fortran executable clubb_standalone [100%] Linking Fortran executable clubb_driver_test [100%] Linking Fortran executable clubb_standalone_loss [100%] Built target clubb_thread_test [100%] Built target clubb_standalone [100%] Built target clubb_driver_test [100%] Built target clubb_standalone_loss [100%] Linking Fortran executable clubb_loss_driver_test [100%] Building Fortran object src/CMakeFiles/clubb_tuner.dir/clubb_tuner.F90.o [100%] Built target clubb_loss_driver_test [100%] Linking Fortran executable clubb_tuner [100%] Built target clubb_tuner Install the project... -- Install configuration: "Release" -- Installing: /home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/libclubb_driver_lib.a -- Installing: /home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/clubb_tuner -- Set runtime path of "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/clubb_tuner" to "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib64:/usr/local/spack/opt/spack/linux-pop22-skylake_avx512/gcc-13.1.0/netcdf-fortran-4.5.3-rr4amopxiouymfpd5tw5ducrmg4u7a6i/lib" -- Installing: /home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/G_unit_tests -- Set runtime path of "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/G_unit_tests" to "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib64:/usr/local/spack/opt/spack/linux-pop22-skylake_avx512/gcc-13.1.0/netcdf-fortran-4.5.3-rr4amopxiouymfpd5tw5ducrmg4u7a6i/lib" -- Installing: /home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/clubb_thread_test -- Set runtime path of "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/clubb_thread_test" to "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib64:/usr/local/spack/opt/spack/linux-pop22-skylake_avx512/gcc-13.1.0/netcdf-fortran-4.5.3-rr4amopxiouymfpd5tw5ducrmg4u7a6i/lib" -- Installing: /home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/clubb_standalone -- Set runtime path of "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/clubb_standalone" to "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib64:/usr/local/spack/opt/spack/linux-pop22-skylake_avx512/gcc-13.1.0/netcdf-fortran-4.5.3-rr4amopxiouymfpd5tw5ducrmg4u7a6i/lib" -- Installing: /home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/clubb_driver_test -- Set runtime path of "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/clubb_driver_test" to "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib64:/usr/local/spack/opt/spack/linux-pop22-skylake_avx512/gcc-13.1.0/netcdf-fortran-4.5.3-rr4amopxiouymfpd5tw5ducrmg4u7a6i/lib" -- Installing: /home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/clubb_standalone_loss -- Set runtime path of "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/clubb_standalone_loss" to "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib64:/usr/local/spack/opt/spack/linux-pop22-skylake_avx512/gcc-13.1.0/netcdf-fortran-4.5.3-rr4amopxiouymfpd5tw5ducrmg4u7a6i/lib" -- Installing: /home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/clubb_loss_driver_test -- Set runtime path of "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/clubb_loss_driver_test" to "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib64:/usr/local/spack/opt/spack/linux-pop22-skylake_avx512/gcc-13.1.0/netcdf-fortran-4.5.3-rr4amopxiouymfpd5tw5ducrmg4u7a6i/lib" CLUBBStandardsCheck.py: beginning check on src PASS: 0 checks failed for src CLUBBStandardsCheck.py: beginning check on src/CLUBB_core PASS: 0 checks failed for src/CLUBB_core CLUBBStandardsCheck.py: beginning check on src/SILHS PASS: 0 checks failed for src/SILHS CLUBBStandardsCheck.py: beginning check on src/Benchmark_cases PASS: 0 checks failed for src/Benchmark_cases CLUBBStandardsCheck.py: beginning check on src/Radiation PASS: 0 checks failed for src/Radiation CLUBBStandardsCheck.py: beginning check on src/Microphys PASS: 0 checks failed for src/Microphys CLUBBStandardsCheck.py: beginning check on src/Microphys/KK_microphys PASS: 0 checks failed for src/Microphys/KK_microphys CLUBBStandardsCheck.py: beginning check on src/G_unit_test_types PASS: 0 checks failed for src/G_unit_test_types [92mBuild completed successfully, and all source code checks passed.[0m /home/jenkins/workspace/clubb_error_handling_gfortran_test/output/arm_97.in - using install dir (latest): /home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble - using executable: /home/jenkins/workspace/clubb_error_handling_gfortran_test/run_scripts/../install/latest/clubb_standalone =================== Running arm_97 =================== 2026/07/26 03:03:33 -------------------------------------------------- Latest git log entry -------------------------------------------------- A detailed git diff can be found at the end of this file -------------------------------------------------- Tunable Parameters: -------------------------------------------------- Parameter Value --------- ----- C1 = 1.00000000000000000000 C1b = 1.00000000000000000000 C1c = 1.00000000000000000000 C2rt = 2.00000000000000000000 C2thl = 2.00000000000000000000 C2rtthl = 2.00000000000000000000 C4 = 2.00000000000000000000 C_uu_shr = 0.40000000000000002220 C_uu_buoy = 0.29999999999999998890 C6rt = 2.00000000000000000000 C6rtb = 2.00000000000000000000 C6rtc = 1.00000000000000000000 C6thl = 2.00000000000000000000 C6thlb = 2.00000000000000000000 C6thlc = 1.00000000000000000000 C7 = 0.50000000000000000000 C7b = 0.50000000000000000000 C7c = 0.50000000000000000000 C8 = 0.50000000000000000000 C8b = 0.02000000000000000042 C10 = 3.29999999999999982236 C11 = 0.40000000000000002220 C11b = 0.40000000000000002220 C11c = 0.50000000000000000000 C12 = 1.00000000000000000000 C13 = 0.10000000000000000555 C14 = 1.00000000000000000000 C_wp2_pr_dfsn = 0.00000000000000000000 C_wp3_pr_tp = 0.00000000000000000000 C_wp3_pr_turb = 1.00000000000000000000 C_wp3_pr_dfsn = 0.00000000000000000000 C_wp2_splat = 0.00000000000000000000 C6rt_Lscale0 = 14.00000000000000000000 C6thl_Lscale0 = 14.00000000000000000000 C7_Lscale0 = 0.84999999999999997780 wpxp_L_thresh = 60.00000000000000000000 c_K = 0.20000000000000001110 c_K1 = 0.20000000000000001110 nu1 = 20.00000000000000000000 c_K2 = 0.02500000000000000139 nu2 = 1.00000000000000000000 c_K6 = 0.37500000000000000000 nu6 = 5.00000000000000000000 c_K8 = 5.00000000000000000000 nu8 = 20.00000000000000000000 c_K9 = 0.10000000000000000555 nu9 = 10.00000000000000000000 nu10 = 0.00000000000000000000 c_K_hm = 0.75000000000000000000 c_K_hmb = 0.75000000000000000000 K_hm_min_coef = 0.10000000000000000555 nu_hm = 1.50000000000000000000 slope_coef_spread_DG_means_w = 21.00000000000000000000 pdf_component_stdev_factor_w = 1.00000000000000000000 coef_spread_DG_means_rt = 0.80000000000000004441 coef_spread_DG_means_thl = 0.80000000000000004441 gamma_coef = 0.25000000000000000000 gamma_coefb = 0.25000000000000000000 gamma_coefc = 5.00000000000000000000 mu = 0.00100000000000000002 beta = 1.00000000000000000000 lmin_coef = 0.50000000000000000000 omicron = 0.50000000000000000000 zeta_vrnce_rat = 0.00000000000000000000 upsilon_precip_frac_rat = 0.55000000000000004441 lambda0_stability_coef = 0.02999999999999999889 mult_coef = 0.50000000000000000000 taumin = 90.00000000000000000000 taumax = 3600.00000000000000000000 Lscale_mu_coef = 2.00000000000000000000 Lscale_pert_coef = 0.10000000000000000555 alpha_corr = 0.14999999999999999445 Skw_denom_coef = 4.00000000000000000000 c_K10 = 1.00000000000000000000 c_K10h = 1.00000000000000000000 thlp2_rad_coef = 1.00000000000000000000 thlp2_rad_cloud_frac_thresh = 0.10000000000000000555 up2_sfc_coef = 4.00000000000000000000 Skw_max_mag = 10.00000000000000000000 C_invrs_tau_bkgnd = 1.10000000000000008882 C_invrs_tau_sfc = 0.10000000000000000555 C_invrs_tau_shear = 0.14999999999999999445 C_invrs_tau_N2 = 0.40000000000000002220 C_invrs_tau_N2_wp2 = 0.20000000000000001110 C_invrs_tau_N2_xp2 = 0.05000000000000000278 C_invrs_tau_N2_wpxp = 0.00000000000000000000 C_invrs_tau_N2_clear_wp3 = 1.00000000000000000000 C_invrs_tau_wpxp_Ri = 0.34999999999999997780 C_invrs_tau_wpxp_N2_thresh = 0.00033000000000000000 xp3_coef_base = 0.25000000000000000000 xp3_coef_slope = 0.01000000000000000021 altitude_threshold = 100.00000000000000000000 rtp2_clip_coef = 0.50000000000000000000 Cx_min = 0.33000000000000001554 Cx_max = 0.94999999999999995559 Richardson_num_min = 0.25000000000000000000 Richardson_num_max = 400.00000000000000000000 a3_coef_min = 1.00000000000000000000 a_const = 1.80000000000000004441 bv_efold = 5.00000000000000000000 wpxp_Ri_exp = 0.50000000000000000000 z_displace = 25.00000000000000000000 -------------------------------------------------- Preprocessing Directives: -------------------------------------------------- -DCOAMPS_MICRO enabled -DTUNER disabled -Dnooverlap enabled -Draoffline enabled -DUSE_BUGSrad_ocast_random disabled -------------------------------------------------- &model_setting -------------------------------------------------- runtype = arm_97 nzmax = 128 grid_type = 2 deltaz = 150.00000000000000 zm_init = 0.0000000000000000 zm_top = 27625.000000000000 zt_grid_fname = ../input/grid/deep_convection_128lev_27km_zt_grid.grd zm_grid_fname = day = 26 month = 6 year = 1997 lat_vals = 36.500000000000000 lon_vals = -97.500000000000000 sfc_elevation = 0.0000000000000000 time_initial = 84660.000000000000 time_final = 419460.00000000000 dt_main = 60.000000000000000 dt_rad = 1800.0000000000000 sfctype = 0 T_sfc = 288.00000000000000 p_sfc = 97151.029999999999 sens_ht = 0.0000000000000000 latent_ht = 0.0000000000000000 fcor = 0.0000000000000000 fcor_y = 1.1723448454519913E-004 T0 = 300.00000000000000 ts_nudge = 7200.0000000000000 forcings_file_path = l_t_dependent = T l_ignore_forcings = F l_modify_ic_with_cubic_int = F l_modify_bc_for_cnvg_test = F l_input_xpwp_sfc = F saturation_formula = 3 thlm_sponge_damp_settings%l_sponge_damping = F rtm_sponge_damp_settings%l_sponge_damping = F uv_sponge_damp_settings%l_sponge_damping = F wp2_sponge_damp_settings%l_sponge_damping = F wp3_sponge_damp_settings%l_sponge_damping = F up2_vp2_sponge_damp_settings%l_sponge_damping = F thlm_sponge_damp_settings%tau_sponge_damp_min = 60.000000000000000 thlm_sponge_damp_settings%tau_sponge_damp_max = 1800.0000000000000 thlm_sponge_damp_settings%sponge_damp_depth = 0.25000000000000000 rtm_sponge_damp_settings%tau_sponge_damp_min = 60.000000000000000 rtm_sponge_damp_settings%tau_sponge_damp_max = 1800.0000000000000 rtm_sponge_damp_settings%sponge_damp_depth = 0.25000000000000000 uv_sponge_damp_settings%tau_sponge_damp_min = 60.000000000000000 uv_sponge_damp_settings%tau_sponge_damp_max = 1800.0000000000000 uv_sponge_damp_settings%sponge_damp_depth = 0.25000000000000000 wp2_sponge_damp_settings%tau_sponge_damp_min = 60.000000000000000 wp2_sponge_damp_settings%tau_sponge_damp_max = 1800.0000000000000 wp2_sponge_damp_settings%sponge_damp_depth = 0.25000000000000000 wp3_sponge_damp_settings%tau_sponge_damp_min = 60.000000000000000 wp3_sponge_damp_settings%tau_sponge_damp_max = 1800.0000000000000 wp3_sponge_damp_settings%sponge_damp_depth = 0.25000000000000000 up2_vp2_sponge_damp_settings%tau_sponge_damp_min = 60.000000000000000 up2_vp2_sponge_damp_settings%tau_sponge_damp_max = 1800.0000000000000 up2_vp2_sponge_damp_settings%sponge_damp_depth = 0.25000000000000000 l_soil_veg = F l_restart = F l_input_fields = F restart_path_case = restart/arm_97 time_restart = 0.0000000000000000 debug_level = 2 sclr_dim = 0 edsclr_dim = 2 iisclr_thl = -2 iisclr_rt = -1 iisclr_CO2 = -1 sclr_tol = -------------------------------------------------- &stats_setting -------------------------------------------------- l_stats = T output_dir = /home/jenkins/workspace/clubb_error_handling_gfortran_test/output/ fname_prefix = arm_97 stats_output_filename = arm_97_stats.nc stats_tsamp = 60.000000000000000 stats_tout = 60.000000000000000 stats_tstart = 84660.000000000000 stats_tend = 419460.00000000000 l_allow_small_stats_tout = F Constant flags: l_pos_def = F l_gamma_Skw = T Constant tolerances [units] rt_tol [kg/kg] = 1.0000000000000000E-008 thl_tol [K] = 1.0000000000000000E-002 w_tol [m/s] = 2.0000000000000000E-002 -------------------------------------------------- µphysics_setting -------------------------------------------------- microphys_scheme = morrison l_cloud_sed = F sigma_g = 1.5000000000000000 l_graupel = T l_hail = F l_seifert_beheng = F l_predict_Nc = F l_const_Nc_in_cloud = T specify_aerosol = morrison_lognormal l_subgrid_w = T l_arctic_nucl = F l_cloud_edge_activation = F l_fix_pgam = F l_in_cloud_Nc_diff = T l_var_covar_src = T l_upwind_diff_sed = F lh_microphys_type = interactive lh_num_samples = 8 lh_sequence_length = 1 lh_seed = 5489 l_fix_w_chi_eta_correlations = T l_silhs_KK_convergence_adj_mean = F importance_prob_thresh = 1.0000000000000000E-008 host_dx = 1000000.0000000000 host_dy = 1000000.0000000000 hmp2_ip_on_hmm2_ip_slope%rr = 0.0000000000000000 hmp2_ip_on_hmm2_ip_slope%ri = 0.0000000000000000 hmp2_ip_on_hmm2_ip_slope%rs = 0.0000000000000000 hmp2_ip_on_hmm2_ip_slope%rg = 0.0000000000000000 hmp2_ip_on_hmm2_ip_slope%Nr = 0.0000000000000000 hmp2_ip_on_hmm2_ip_slope%Ni = 0.0000000000000000 hmp2_ip_on_hmm2_ip_slope%Ni = 0.0000000000000000 hmp2_ip_on_hmm2_ip_slope%Ng = 0.0000000000000000 hmp2_ip_on_hmm2_ip_intrcpt%rr = 5.0000000000000000 hmp2_ip_on_hmm2_ip_intrcpt%ri = 1.2500000000000000 hmp2_ip_on_hmm2_ip_intrcpt%rs = 1.2500000000000000 hmp2_ip_on_hmm2_ip_intrcpt%rg = 1.2500000000000000 hmp2_ip_on_hmm2_ip_intrcpt%Nr = 2.5000000000000000 hmp2_ip_on_hmm2_ip_intrcpt%Ni = 0.62500000000000000 hmp2_ip_on_hmm2_ip_intrcpt%Ni = 0.62500000000000000 hmp2_ip_on_hmm2_ip_intrcpt%Ng = 0.62500000000000000 Ncnp2_on_Ncnm2 = 3.0000000000000001E-003 C_evap = 0.85999999999999999 r_0 = 2.5000000000000001E-005 microphys_start_time = 0.0000000000000000 Nc0_in_cloud = 100000000.00000000 ccnconst = 120.00000000000000 ccnexpnt = 0.40000000596046448 aer_rm1 = 1.1000000021965661E-008 aer_rm2 = 5.9999997858994902E-008 aer_n1 = 125000000.00000000 aer_n2 = 65000000.000000000 aer_sig1 = 1.2000000476837158 aer_sig2 = 1.7000000476837158 pgam_fixed = 5.0000000000000000 precip_frac_calc_type = 2 -------------------------------------------------- &SILHS_setting -------------------------------------------------- Correlation array (approximate); in cloud: 1.000 -0.600 0.090 0.090 0.558 0.544 0.212 0.207 0.212 0.207 0.212 0.207 -0.600 1.000 0.027 0.027 0.081 0.093 -0.026 0.087 0.019 0.012 0.000 0.000 0.090 0.027 1.000 0.340 0.223 0.217 0.106 0.156 0.000 0.000 0.000 0.000 0.090 0.027 0.340 1.000 0.000 0.000 0.464 0.320 0.168 0.232 0.000 0.000 0.558 0.081 0.223 0.000 1.000 0.728 0.000 0.000 0.116 0.114 0.226 0.223 0.544 0.093 0.217 0.000 0.728 1.000 0.113 0.111 0.000 0.000 0.222 0.219 0.212 -0.026 0.106 0.464 0.000 0.113 1.000 0.717 0.526 0.522 0.323 0.319 0.207 0.087 0.156 0.320 0.000 0.111 0.717 1.000 0.522 0.516 0.319 0.315 0.212 0.019 0.000 0.168 0.116 0.000 0.526 0.522 1.000 0.717 0.425 0.421 0.207 0.012 0.000 0.232 0.114 0.000 0.522 0.516 0.717 1.000 0.421 0.417 0.212 0.000 0.000 0.000 0.226 0.222 0.323 0.319 0.425 0.421 1.000 0.717 0.207 0.000 0.000 0.000 0.223 0.219 0.319 0.315 0.421 0.417 0.717 1.000 Correlation array (approximate); below cloud: 1.000 0.300 0.090 0.090 0.558 0.544 0.212 0.207 0.212 0.207 0.212 0.207 0.300 1.000 0.027 0.027 0.081 0.093 -0.026 0.087 0.019 0.012 0.000 0.000 0.090 0.027 1.000 0.340 0.223 0.217 0.106 0.156 0.000 0.000 0.000 0.000 0.090 0.027 0.340 1.000 0.000 0.000 0.464 0.320 0.168 0.232 0.000 0.000 0.558 0.081 0.223 0.000 1.000 0.728 0.000 0.000 0.116 0.114 0.226 0.223 0.544 0.093 0.217 0.000 0.728 1.000 0.113 0.111 0.000 0.000 0.222 0.219 0.212 -0.026 0.106 0.464 0.000 0.113 1.000 0.717 0.526 0.522 0.323 0.319 0.207 0.087 0.156 0.320 0.000 0.111 0.717 1.000 0.522 0.516 0.319 0.315 0.212 0.019 0.000 0.168 0.116 0.000 0.526 0.522 1.000 0.717 0.425 0.421 0.207 0.012 0.000 0.232 0.114 0.000 0.522 0.516 0.717 1.000 0.421 0.417 0.212 0.000 0.000 0.000 0.226 0.222 0.323 0.319 0.425 0.421 1.000 0.717 0.207 0.000 0.000 0.000 0.223 0.219 0.319 0.315 0.421 0.417 0.717 1.000 -------------------------------------------------- &radiation_setting -------------------------------------------------- rad_scheme = bugsrad sol_const = 1367.0000000000000 alvdr = 0.10000000000000001 alvdf = 0.10000000000000001 alndr = 0.10000000000000001 alndf = 0.10000000000000001 radiation_top = 50000.000000000000 F0 = 100.00000000000000 F1 = 20.000000000000000 kappa = 119.00000000000000 gc = 0.85999999999999999 omega = 0.99650000000000005 slr = 1.0000000000000000 l_rad_above_cloud = F l_sw_radiation = T l_fix_cos_solar_zen = F l_use_default_std_atmosphere = T Fs_values = 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 cos_solar_zen_values = -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 cos_solar_zen_times = -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 eff_drop_radius = 1.0000000000000001E-005 -------------------------------------------------- &configurable_clubb_flags_nl -------------------------------------------------- iiPDF_type = 1 ipdf_call_placement = 2 penta_solve_method = 2 tridiag_solve_method = 2 grid_remap_method = 1 grid_adapt_in_time_method = 0 l_use_precip_frac = T l_predict_upwp_vpwp = T l_ho_nontrad_coriolis = F l_ho_trad_coriolis = F l_min_wp2_from_corr_wx = F l_min_xp2_from_corr_wx = T l_C2_cloud_frac = F l_diffuse_rtm_and_thlm = F l_stability_correct_Kh_N2_zm = F l_calc_thlp2_rad = T l_upwind_xpyp_ta = T l_upwind_xm_ma = T l_uv_nudge = T l_rtm_nudge = F l_vert_avg_closure = F l_trapezoidal_rule_zt = F l_trapezoidal_rule_zm = F l_call_pdf_closure_twice = F l_standard_term_ta = F l_partial_upwind_wp3 = F l_godunov_upwind_wpxp_ta = F l_godunov_upwind_xpyp_ta = F l_use_cloud_cover = F l_diagnose_correlations = F l_calc_w_corr = F l_const_Nc_in_cloud = T l_fix_w_chi_eta_correlations = T l_stability_correct_tau_zm = F l_damp_wp2_using_em = T l_do_expldiff_rtm_thlm = F l_Lscale_plume_centered = F l_diag_Lscale_from_tau = F l_use_C7_Richardson = T l_use_C11_Richardson = F l_use_shear_Richardson = F l_brunt_vaisala_freq_moist = F l_use_thvm_in_bv_freq = F l_rcm_supersat_adj = T l_damp_wp3_Skw_squared = T l_prescribed_avg_deltaz = F l_lmm_stepping = F l_e3sm_config = F l_vary_convect_depth = F l_use_tke_in_wp3_pr_turb_term = T l_use_tke_in_wp2_wp3_K_dfsn = F l_use_wp3_lim_with_smth_Heaviside = F l_smooth_Heaviside_tau_wpxp = T l_modify_limiters_for_cnvg_test = F l_enable_relaxed_clipping = F l_linearize_pbl_winds = F l_mono_flux_lim_thlm = T l_mono_flux_lim_rtm = T l_mono_flux_lim_um = T l_mono_flux_lim_vm = T l_mono_flux_lim_spikefix = T l_host_applies_sfc_fluxes = F l_wp2_fill_holes_tke = T l_add_dycore_grid = F -------------------------------------------------- git diff src/ -------------------------------------------------- See *setup.txt file in output folder Path to sounding: arm_97_sounding.in File exists? T Path to sclr_sounding: arm_97_sclr_sounding.in File exists? T Path to edsclr_sounding: arm_97_edsclr_sounding.in File exists? T Reading in sounding information z = 0.0000000000000000 59.210000000000001 524.30399999999997 1008.6140000000000 1515.2339999999999 2047.6610000000001 2609.4340000000002 3203.9600000000000 3835.4360000000001 4509.9830000000002 5235.9300000000003 6023.2039999999997 6882.9089999999997 7828.9579999999996 8881.1939999999995 10071.930000000000 11458.433999999999 13147.343000000001 15385.763000000001 15500.000000000000 15750.000000000000 16000.000000000000 16250.000000000000 16500.000000000000 16750.000000000000 17000.000000000000 17250.000000000000 17500.000000000000 17750.000000000000 18000.000000000000 18250.000000000000 18500.000000000000 18750.000000000000 19000.000000000000 19250.000000000000 19500.000000000000 19750.000000000000 20000.000000000000 20250.000000000000 20500.000000000000 20750.000000000000 21000.000000000000 21250.000000000000 21500.000000000000 21750.000000000000 22000.000000000000 22250.000000000000 22500.000000000000 22750.000000000000 23000.000000000000 23250.000000000000 23500.000000000000 23750.000000000000 24000.000000000000 24250.000000000000 24500.000000000000 24750.000000000000 25000.000000000000 25250.000000000000 25500.000000000000 25750.000000000000 26000.000000000000 26250.000000000000 26500.000000000000 26750.000000000000 27000.000000000000 27250.000000000000 27500.000000000000 u = -0.75500000000000000 -0.75500000000000000 -0.18099999999999999 1.6659999999999999 3.5750000000000002 5.0490000000000004 5.8710000000000004 6.4790000000000001 6.8570000000000002 7.0069999999999997 7.0400000000000000 6.8780000000000001 6.6050000000000004 6.7640000000000002 7.8330000000000002 9.9770000000000003 11.247999999999999 10.616000000000000 5.3810000000000002 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 v = 0.19100000000000000 0.19100000000000000 1.0309999999999999 1.3650000000000000 0.88800000000000001 -0.60599999999999998 -2.7469999999999999 -4.8129999999999997 -5.5789999999999997 -4.4470000000000001 -1.8819999999999999 0.43600000000000000 1.9179999999999999 2.6299999999999999 3.5440000000000000 4.1120000000000001 3.4020000000000001 1.9670000000000001 0.51000000000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 ug = -0.75500000000000000 -0.75500000000000000 -0.18099999999999999 1.6659999999999999 3.5750000000000002 5.0490000000000004 5.8710000000000004 6.4790000000000001 6.8570000000000002 7.0069999999999997 7.0400000000000000 6.8780000000000001 6.6050000000000004 6.7640000000000002 7.8330000000000002 9.9770000000000003 11.247999999999999 10.616000000000000 5.3810000000000002 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 vg = 0.19100000000000000 0.19100000000000000 1.0309999999999999 1.3650000000000000 0.88800000000000001 -0.60599999999999998 -2.7469999999999999 -4.8129999999999997 -5.5789999999999997 -4.4470000000000001 -1.8819999999999999 0.43600000000000000 1.9179999999999999 2.6299999999999999 3.5440000000000000 4.1120000000000001 3.4020000000000001 1.9670000000000001 0.51000000000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 theta = 301.47100000000000 301.47100000000000 301.88900000000001 302.91800000000001 304.76499999999999 307.25299999999999 309.80599999999998 311.96600000000001 314.29800000000000 317.19499999999999 320.93700000000001 324.83499999999998 328.27499999999998 331.16699999999997 333.76400000000001 337.68400000000003 344.93500000000000 358.02600000000001 389.63099999999997 404.54836999999998 409.19454999999999 414.09089999999998 418.48012999999997 423.08676000000003 427.93079999999998 433.03487999999999 437.63364000000001 442.46069999999997 447.53696000000002 452.88634999999999 457.69405999999998 462.74032999999997 468.04703000000001 473.63907000000000 478.66363999999999 483.93729999999999 489.48289999999997 495.32654000000002 501.14584000000002 507.23703000000000 513.62480000000005 520.33730000000003 526.42909999999995 532.80457000000001 539.48940000000005 546.51270000000000 552.87114999999994 559.52373999999998 566.49676999999997 573.82039999999995 580.47019999999998 587.42645000000005 594.71650000000000 602.37134000000003 609.37429999999995 616.70150000000001 624.38189999999997 632.44854999999995 638.02350000000001 643.78290000000004 649.73895000000005 655.90454000000000 662.29395000000000 668.92319999999995 675.80960000000005 682.97253000000001 690.43353000000002 698.21673999999996 rt = 1.4307000000000000E-002 1.4307000000000000E-002 1.2605000000000000E-002 1.1171000000000000E-002 9.2399999999999999E-003 7.0120000000000000E-003 5.0899999999999999E-003 3.8720000000000000E-003 2.8850000000000000E-003 2.3170000000000000E-003 1.8370000000000001E-003 1.4020000000000000E-003 8.4300000000000000E-004 4.3500000000000000E-004 2.1100000000000001E-004 8.8999999999999995E-005 3.0000000000000001E-005 9.0000000000000002E-006 5.0000000000000004E-006 3.6798938000000001E-006 3.6717836000000000E-006 3.6636733999999998E-006 3.6613208000000001E-006 3.6589684000000002E-006 3.6566157000000001E-006 3.6542629999999999E-006 3.6453057000000000E-006 3.6363479999999999E-006 3.6273905000000000E-006 3.6184329999999998E-006 3.7715214999999999E-006 3.9246106000000000E-006 4.0776989999999997E-006 4.2307879999999999E-006 4.4103020000000004E-006 4.5898160000000001E-006 4.7693299999999998E-006 4.9488444000000001E-006 5.2964279999999997E-006 5.6440117000000002E-006 5.9915960000000003E-006 6.3391799999999997E-006 6.7695933000000002E-006 7.2000065999999999E-006 7.6304200000000004E-006 8.0608340000000005E-006 8.6365520000000000E-006 9.2122699999999995E-006 9.7879880000000007E-006 1.0363708000000001E-005 1.1021647000000000E-005 1.1679586000000001E-005 1.2337527000000001E-005 1.2995469000000000E-005 1.3863442000000000E-005 1.4731417000000001E-005 1.5599392999999999E-005 1.6467371000000002E-005 1.6676052999999999E-005 1.6884735000000000E-005 1.7093418000000001E-005 1.7302097999999999E-005 1.7510807000000001E-005 1.7719512000000002E-005 1.7928221000000000E-005 1.8136928999999998E-005 1.8345636000000001E-005 1.8554343000000001E-005 p_in_Pa = -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 subs = 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 edsclr_ 1) 0.143E-01 0.143E-01 0.126E-01 0.112E-01 0.924E-02 0.701E-02 0.509E-02 0.387E-02 0.288E-02 0.232E-02 0.184E-02 0.140E-02 0.843E-03 0.435E-03 0.211E-03 0.890E-04 0.300E-04 0.900E-05 0.500E-05 0.368E-05 0.367E-05 0.366E-05 0.366E-05 0.366E-05 0.366E-05 0.365E-05 0.365E-05 0.364E-05 0.363E-05 0.362E-05 0.377E-05 0.392E-05 0.408E-05 0.423E-05 0.441E-05 0.459E-05 0.477E-05 0.495E-05 0.530E-05 0.564E-05 0.599E-05 0.634E-05 0.677E-05 0.720E-05 0.763E-05 0.806E-05 0.864E-05 0.921E-05 0.979E-05 0.104E-04 0.110E-04 0.117E-04 0.123E-04 0.130E-04 0.139E-04 0.147E-04 0.156E-04 0.165E-04 0.167E-04 0.169E-04 0.171E-04 0.173E-04 0.175E-04 0.177E-04 0.179E-04 0.181E-04 0.183E-04 0.186E-04 edsclr_ 2) 301. 301. 302. 303. 305. 307. 310. 312. 314. 317. 321. 325. 328. 331. 334. 338. 345. 358. 390. 405. 409. 414. 418. 423. 428. 433. 438. 442. 448. 453. 458. 463. 468. 474. 479. 484. 489. 495. 501. 507. 514. 520. 526. 533. 539. 547. 553. 560. 566. 574. 580. 587. 595. 602. 609. 617. 624. 632. 638. 644. 650. 656. 662. 669. 676. 683. 690. 698. ERROR: NaN detected: soln( 1 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 5 ) = NaN ERROR: NaN detected: soln( 1 , 6 ) = NaN ERROR: NaN detected: soln( 1 , 7 ) = NaN ERROR: NaN detected: soln( 1 , 8 ) = NaN ERROR: NaN detected: soln( 1 , 9 ) = NaN ERROR: NaN detected: soln( 1 , 10 ) = NaN ERROR: NaN detected: soln( 1 , 11 ) = NaN ERROR: NaN detected: soln( 1 , 12 ) = NaN ERROR: NaN detected: soln( 1 , 13 ) = NaN ERROR: NaN detected: soln( 1 , 14 ) = NaN ERROR: NaN detected: soln( 1 , 15 ) = NaN ERROR: NaN detected: soln( 1 , 16 ) = NaN ERROR: NaN detected: soln( 1 , 17 ) = NaN ERROR: NaN detected: soln( 1 , 18 ) = NaN ERROR: NaN detected: soln( 1 , 19 ) = NaN ERROR: NaN detected: soln( 1 , 20 ) = NaN ERROR: NaN detected: soln( 1 , 21 ) = NaN ERROR: NaN detected: soln( 1 , 22 ) = NaN ERROR: NaN detected: soln( 1 , 23 ) = NaN ERROR: NaN detected: soln( 1 , 24 ) = NaN ERROR: NaN detected: soln( 1 , 25 ) = NaN ERROR: NaN detected: soln( 1 , 26 ) = NaN ERROR: NaN detected: soln( 1 , 27 ) = NaN ERROR: NaN detected: soln( 1 , 28 ) = NaN ERROR: NaN detected: soln( 1 , 29 ) = NaN ERROR: NaN detected: soln( 1 , 30 ) = NaN ERROR: NaN detected: soln( 1 , 31 ) = NaN ERROR: NaN detected: soln( 1 , 32 ) = NaN ERROR: NaN detected: soln( 1 , 33 ) = NaN ERROR: NaN detected: soln( 1 , 34 ) = NaN ERROR: NaN detected: soln( 1 , 35 ) = NaN ERROR: NaN detected: soln( 1 , 36 ) = NaN ERROR: NaN detected: soln( 1 , 37 ) = NaN ERROR: NaN detected: soln( 1 , 38 ) = NaN ERROR: NaN detected: soln( 1 , 39 ) = NaN ERROR: NaN detected: soln( 1 , 40 ) = NaN ERROR: NaN detected: soln( 1 , 41 ) = NaN ERROR: NaN detected: soln( 1 , 42 ) = NaN ERROR: NaN detected: soln( 1 , 43 ) = NaN ERROR: NaN detected: soln( 1 , 44 ) = NaN ERROR: NaN detected: soln( 1 , 45 ) = NaN ERROR: NaN detected: soln( 1 , 46 ) = NaN ERROR: NaN detected: soln( 1 , 47 ) = NaN ERROR: NaN detected: soln( 1 , 48 ) = NaN ERROR: NaN detected: soln( 1 , 49 ) = NaN ERROR: NaN detected: soln( 1 , 50 ) = NaN ERROR: NaN detected: soln( 1 , 51 ) = NaN ERROR: NaN detected: soln( 1 , 52 ) = NaN ERROR: NaN detected: soln( 1 , 53 ) = NaN ERROR: NaN detected: soln( 1 , 54 ) = NaN ERROR: NaN detected: soln( 1 , 55 ) = NaN ERROR: NaN detected: soln( 1 , 56 ) = NaN ERROR: NaN detected: soln( 1 , 57 ) = NaN ERROR: NaN detected: soln( 1 , 58 ) = NaN ERROR: NaN detected: soln( 1 , 59 ) = NaN ERROR: NaN detected: soln( 1 , 60 ) = NaN ERROR: NaN detected: soln( 1 , 61 ) = NaN ERROR: NaN detected: soln( 1 , 62 ) = NaN ERROR: NaN detected: soln( 1 , 63 ) = NaN ERROR: NaN detected: soln( 1 , 64 ) = NaN ERROR: NaN detected: soln( 1 , 65 ) = NaN ERROR: NaN detected: soln( 1 , 66 ) = NaN ERROR: NaN detected: soln( 1 , 67 ) = NaN ERROR: NaN detected: soln( 1 , 68 ) = NaN ERROR: NaN detected: soln( 1 , 69 ) = NaN ERROR: NaN detected: soln( 1 , 70 ) = NaN ERROR: NaN detected: soln( 1 , 71 ) = NaN ERROR: NaN detected: soln( 1 , 72 ) = NaN ERROR: NaN detected: soln( 1 , 73 ) = NaN ERROR: NaN detected: soln( 1 , 74 ) = NaN ERROR: NaN detected: soln( 1 , 75 ) = NaN ERROR: NaN detected: soln( 1 , 76 ) = NaN ERROR: NaN detected: soln( 1 , 77 ) = NaN ERROR: NaN detected: soln( 1 , 78 ) = NaN ERROR: NaN detected: soln( 1 , 79 ) = NaN ERROR: NaN detected: soln( 1 , 80 ) = NaN ERROR: NaN detected: soln( 1 , 81 ) = NaN ERROR: NaN detected: soln( 1 , 82 ) = NaN ERROR: NaN detected: soln( 1 , 83 ) = NaN ERROR: NaN detected: soln( 1 , 84 ) = NaN ERROR: NaN detected: soln( 1 , 85 ) = NaN ERROR: NaN detected: soln( 1 , 86 ) = NaN ERROR: NaN detected: soln( 1 , 87 ) = NaN ERROR: NaN detected: soln( 1 , 88 ) = NaN ERROR: NaN detected: soln( 1 , 89 ) = NaN ERROR: NaN detected: soln( 1 , 90 ) = NaN ERROR: NaN detected: soln( 1 , 91 ) = NaN ERROR: NaN detected: soln( 1 , 92 ) = NaN ERROR: NaN detected: soln( 1 , 93 ) = NaN ERROR: NaN detected: soln( 1 , 94 ) = NaN ERROR: NaN detected: soln( 1 , 95 ) = NaN ERROR: NaN detected: soln( 1 , 96 ) = NaN ERROR: NaN detected: soln( 1 , 97 ) = NaN ERROR: NaN detected: soln( 1 , 98 ) = NaN ERROR: NaN detected: soln( 1 , 99 ) = NaN ERROR: NaN detected: soln( 1 , 100 ) = NaN ERROR: NaN detected: soln( 1 , 101 ) = NaN ERROR: NaN detected: soln( 1 , 102 ) = NaN ERROR: NaN detected: soln( 1 , 103 ) = NaN ERROR: NaN detected: soln( 1 , 104 ) = NaN ERROR: NaN detected: soln( 1 , 105 ) = NaN ERROR: NaN detected: soln( 1 , 106 ) = NaN ERROR: NaN detected: soln( 1 , 107 ) = NaN ERROR: NaN detected: soln( 1 , 108 ) = NaN ERROR: NaN detected: soln( 1 , 109 ) = NaN ERROR: NaN detected: soln( 1 , 110 ) = NaN ERROR: NaN detected: soln( 1 , 111 ) = NaN ERROR: NaN detected: soln( 1 , 112 ) = NaN ERROR: NaN detected: soln( 1 , 113 ) = NaN ERROR: NaN detected: soln( 1 , 114 ) = NaN ERROR: NaN detected: soln( 1 , 115 ) = NaN ERROR: NaN detected: soln( 1 , 116 ) = NaN ERROR: NaN detected: soln( 1 , 117 ) = NaN ERROR: NaN detected: soln( 1 , 118 ) = NaN ERROR: NaN detected: soln( 1 , 119 ) = NaN ERROR: NaN detected: soln( 1 , 120 ) = NaN ERROR: NaN detected: soln( 1 , 121 ) = NaN ERROR: NaN detected: soln( 1 , 122 ) = NaN ERROR: NaN detected: soln( 1 , 123 ) = NaN ERROR: NaN detected: soln( 1 , 124 ) = NaN ERROR: NaN detected: soln( 1 , 125 ) = NaN ERROR: NaN detected: soln( 1 , 126 ) = NaN ERROR: NaN detected: soln( 1 , 127 ) = NaN ERROR: NaN detected: soln( 1 , 128 ) = NaN ERROR: NaN detected: soln( 1 , 129 ) = NaN ERROR: NaN detected: soln( 1 , 130 ) = NaN ERROR: NaN detected: soln( 1 , 131 ) = NaN ERROR: NaN detected: soln( 1 , 132 ) = NaN ERROR: NaN detected: soln( 1 , 133 ) = NaN ERROR: NaN detected: soln( 1 , 134 ) = NaN ERROR: NaN detected: soln( 1 , 135 ) = NaN ERROR: NaN detected: soln( 1 , 136 ) = NaN ERROR: NaN detected: soln( 1 , 137 ) = NaN ERROR: NaN detected: soln( 1 , 138 ) = NaN ERROR: NaN detected: soln( 1 , 139 ) = NaN ERROR: NaN detected: soln( 1 , 140 ) = NaN ERROR: NaN detected: soln( 1 , 141 ) = NaN ERROR: NaN detected: soln( 1 , 142 ) = NaN ERROR: NaN detected: soln( 1 , 143 ) = NaN ERROR: NaN detected: soln( 1 , 144 ) = NaN ERROR: NaN detected: soln( 1 , 145 ) = NaN ERROR: NaN detected: soln( 1 , 146 ) = NaN ERROR: NaN detected: soln( 1 , 147 ) = NaN ERROR: NaN detected: soln( 1 , 148 ) = NaN ERROR: NaN detected: soln( 1 , 149 ) = NaN ERROR: NaN detected: soln( 1 , 150 ) = NaN ERROR: NaN detected: soln( 1 , 151 ) = NaN ERROR: NaN detected: soln( 1 , 152 ) = NaN ERROR: NaN detected: soln( 1 , 153 ) = NaN ERROR: NaN detected: soln( 1 , 154 ) = NaN ERROR: NaN detected: soln( 1 , 155 ) = NaN ERROR: NaN detected: soln( 1 , 156 ) = NaN ERROR: NaN detected: soln( 1 , 157 ) = NaN ERROR: NaN detected: soln( 1 , 158 ) = NaN ERROR: NaN detected: soln( 1 , 159 ) = NaN ERROR: NaN detected: soln( 1 , 160 ) = NaN ERROR: NaN detected: soln( 1 , 161 ) = NaN ERROR: NaN detected: soln( 1 , 162 ) = NaN ERROR: NaN detected: soln( 1 , 163 ) = NaN ERROR: NaN detected: soln( 1 , 164 ) = NaN ERROR: NaN detected: soln( 1 , 165 ) = NaN ERROR: NaN detected: soln( 1 , 166 ) = NaN ERROR: NaN detected: soln( 1 , 167 ) = NaN ERROR: NaN detected: soln( 1 , 168 ) = NaN ERROR: NaN detected: soln( 1 , 169 ) = NaN ERROR: NaN detected: soln( 1 , 170 ) = NaN ERROR: NaN detected: soln( 1 , 171 ) = NaN ERROR: NaN detected: soln( 1 , 172 ) = NaN ERROR: NaN detected: soln( 1 , 173 ) = NaN ERROR: NaN detected: soln( 1 , 174 ) = NaN ERROR: NaN detected: soln( 1 , 175 ) = NaN ERROR: NaN detected: soln( 1 , 176 ) = NaN ERROR: NaN detected: soln( 1 , 177 ) = NaN ERROR: NaN detected: soln( 1 , 178 ) = NaN ERROR: NaN detected: soln( 1 , 179 ) = NaN ERROR: NaN detected: soln( 1 , 180 ) = NaN ERROR: NaN detected: soln( 1 , 181 ) = NaN ERROR: NaN detected: soln( 1 , 182 ) = NaN ERROR: NaN detected: soln( 1 , 183 ) = NaN ERROR: NaN detected: soln( 1 , 184 ) = NaN ERROR: NaN detected: soln( 1 , 185 ) = NaN ERROR: NaN detected: soln( 1 , 186 ) = NaN ERROR: NaN detected: soln( 1 , 187 ) = NaN ERROR: NaN detected: soln( 1 , 188 ) = NaN ERROR: NaN detected: soln( 1 , 189 ) = NaN ERROR: NaN detected: soln( 1 , 190 ) = NaN ERROR: NaN detected: soln( 1 , 191 ) = NaN ERROR: NaN detected: soln( 1 , 192 ) = NaN ERROR: NaN detected: soln( 1 , 193 ) = NaN ERROR: NaN detected: soln( 1 , 194 ) = NaN ERROR: NaN detected: soln( 1 , 195 ) = NaN ERROR: NaN detected: soln( 1 , 196 ) = NaN ERROR: NaN detected: soln( 1 , 197 ) = NaN ERROR: NaN detected: soln( 1 , 198 ) = NaN ERROR: NaN detected: soln( 1 , 199 ) = NaN ERROR: NaN detected: soln( 1 , 200 ) = NaN ERROR: NaN detected: soln( 1 , 201 ) = NaN ERROR: NaN detected: soln( 1 , 202 ) = NaN ERROR: NaN detected: soln( 1 , 203 ) = NaN ERROR: NaN detected: soln( 1 , 204 ) = NaN ERROR: NaN detected: soln( 1 , 205 ) = NaN ERROR: NaN detected: soln( 1 , 206 ) = NaN ERROR: NaN detected: soln( 1 , 207 ) = NaN ERROR: NaN detected: soln( 1 , 208 ) = NaN ERROR: NaN detected: soln( 1 , 209 ) = NaN ERROR: NaN detected: soln( 1 , 210 ) = NaN ERROR: NaN detected: soln( 1 , 211 ) = NaN ERROR: NaN detected: soln( 1 , 212 ) = NaN ERROR: NaN detected: soln( 1 , 213 ) = NaN ERROR: NaN detected: soln( 1 , 214 ) = NaN ERROR: NaN detected: soln( 1 , 215 ) = NaN ERROR: NaN detected: soln( 1 , 216 ) = NaN ERROR: NaN detected: soln( 1 , 217 ) = NaN ERROR: NaN detected: soln( 1 , 218 ) = NaN ERROR: NaN detected: soln( 1 , 219 ) = NaN ERROR: NaN detected: soln( 1 , 220 ) = NaN ERROR: NaN detected: soln( 1 , 221 ) = NaN ERROR: NaN detected: soln( 1 , 222 ) = NaN ERROR: NaN detected: soln( 1 , 223 ) = NaN ERROR: NaN detected: soln( 1 , 224 ) = NaN ERROR: NaN detected: soln( 1 , 225 ) = NaN ERROR: NaN detected: soln( 1 , 226 ) = NaN ERROR: NaN detected: soln( 1 , 227 ) = NaN ERROR: NaN detected: soln( 1 , 228 ) = NaN ERROR: NaN detected: soln( 1 , 229 ) = NaN ERROR: NaN detected: soln( 1 , 230 ) = NaN ERROR: NaN detected: soln( 1 , 231 ) = NaN ERROR: NaN detected: soln( 1 , 232 ) = NaN ERROR: NaN detected: soln( 1 , 233 ) = NaN ERROR: NaN detected: soln( 1 , 234 ) = NaN ERROR: NaN detected: soln( 1 , 235 ) = NaN ERROR: NaN detected: soln( 1 , 236 ) = NaN ERROR: NaN detected: soln( 1 , 237 ) = NaN ERROR: NaN detected: soln( 1 , 238 ) = NaN ERROR: NaN detected: soln( 1 , 239 ) = NaN ERROR: NaN detected: soln( 1 , 240 ) = NaN ERROR: NaN detected: soln( 1 , 241 ) = NaN ERROR: NaN detected: soln( 1 , 242 ) = NaN ERROR: NaN detected: soln( 1 , 243 ) = NaN ERROR: NaN detected: soln( 1 , 244 ) = NaN ERROR: NaN detected: soln( 1 , 245 ) = NaN ERROR: NaN detected: soln( 1 , 246 ) = NaN ERROR: NaN detected: soln( 1 , 247 ) = NaN ERROR: NaN detected: soln( 1 , 248 ) = NaN ERROR: NaN detected: soln( 1 , 249 ) = NaN ERROR: NaN detected: soln( 1 , 250 ) = NaN ERROR: NaN detected: soln( 1 , 251 ) = NaN ERROR: NaN detected: soln( 1 , 252 ) = NaN ERROR: NaN detected: soln( 1 , 253 ) = NaN ERROR: NaN detected: soln( 1 , 254 ) = NaN ERROR: NaN detected: soln( 1 , 255 ) = NaN Fatal error in CLUBB - MPI Process 1 / Chunk index 1 Column index not available. Latitude/Longitude for column 1: 15.00/-56.50 Latitude range from -90 to 90 degrees, Longitude range from -180 to 180 degrees solve_method = 2 wp2_wp3 NaNs in solution Fatal error in CLUBB - MPI Process 1 / Chunk index 1 Column index not available. Latitude/Longitude for column 1: 15.00/-56.50 Latitude range from -90 to 90 degrees, Longitude range from -180 to 180 degrees Error in wp23_solve calling band_solve for wp2_wp3 wp2 & wp3 LU decomp. failed wp2 and wp3 LHS grid col = 1 zm level = 1 height [m] = 0.0000000000000000 LHS = 0.0000000000000000 0.0000000000000000 1.0000000000000000 0.0000000000000000 0.0000000000000000 grid col = 1 zt level = 1 height [m] = 25.000000000000000 LHS = 0.0000000000000000 0.0000000000000000 1.0000000000000000 0.0000000000000000 0.0000000000000000 grid col = 1 zm level = 2 height [m] = 37.500000000000000 LHS = -4.1467753908406575E-002 3.9959493420337597E-002 0.12462806560222099 -4.0040531207058430E-002 -4.3915672325364176E-002 grid col = 1 zt level = 2 height [m] = 50.000000000000000 LHS = 23.874142583139250 NaN NaN NaN -24.186746122558461 grid col = 1 zm level = 3 height [m] = 77.631576550000005 LHS = -1.4729475258010393E-002 1.8055848636825595E-002 6.5826753722852349E-002 -1.8134681270199571E-002 -1.8819170008228612E-002 grid col = 1 zt level = 3 height [m] = 105.26315310000000 LHS = 17.969117573626036 NaN NaN NaN -18.199394630127212 grid col = 1 zm level = 4 height [m] = 132.89472964999999 LHS = -1.4069394889330712E-002 1.8056009003235833E-002 5.6442344989302708E-002 -1.8134520395530797E-002 -1.4793653560933746E-002 grid col = 1 zt level = 4 height [m] = 160.52630619999999 LHS = 16.400733624988067 NaN NaN NaN -16.637353730585801 grid col = 1 zm level = 5 height [m] = 193.42102814999998 LHS = -1.1249563701728979E-002 1.5160704080286722E-002 4.8856090609492024E-002 -1.5239369519858404E-002 -1.1874645587565539E-002 grid col = 1 zt level = 5 height [m] = 226.31575010000000 LHS = 15.080805008950195 NaN NaN NaN -15.311853965686721 grid col = 1 zm level = 6 height [m] = 259.21047210000000 LHS = -1.0640135084910022E-002 1.5160620117088781E-002 4.6690255896543714E-002 -1.5239453690941498E-002 -1.1307997581636919E-002 grid col = 1 zt level = 6 height [m] = 292.10519410000001 LHS = 13.964216293447736 NaN NaN NaN -14.184969621450072 grid col = 1 zm level = 7 height [m] = 330.26307680000002 LHS = -8.6399152617177098E-003 1.3063979432570790E-002 4.2100435703748350E-002 -1.3142995412769037E-002 -9.2241112521899097E-003 grid col = 1 zt level = 7 height [m] = 368.42095949999998 LHS = 12.999793300075613 NaN NaN NaN -13.206287170708549 grid col = 1 zm level = 8 height [m] = 406.57884220000000 LHS = -8.0809796498694329E-003 1.3063881172428782E-002 4.0842646486005010E-002 -1.3143094019670107E-002 -8.6922380116142440E-003 grid col = 1 zt level = 8 height [m] = 444.73672490000001 LHS = 12.164007702678106 NaN NaN NaN -12.355562243623064 grid col = 1 zm level = 9 height [m] = 488.15776065000000 LHS = -6.5909626515047110E-003 1.1475269616749313E-002 3.7974200042360150E-002 -1.1555125059639335E-002 -7.1477020669563828E-003 grid col = 1 zt level = 9 height [m] = 531.57879639999999 LHS = 11.431331666196600 NaN NaN NaN -11.604046353478900 grid col = 1 zm level = 10 height [m] = 574.99984740000002 LHS = -5.7583885998228968E-003 1.1472809781841072E-002 3.8076159852141800E-002 -1.1557602116127753E-002 -6.6382513380917590E-003 grid col = 1 zt level = 10 height [m] = 618.42089840000006 LHS = 10.783897737005788 NaN NaN NaN -10.936658155106855 grid col = 1 zm level = 11 height [m] = 667.10510250000004 LHS = -4.7501136349223372E-003 1.0227833944274766E-002 3.8000327446521834E-002 -1.0312830924310531E-002 -5.1761764690324251E-003 grid col = 1 zt level = 11 height [m] = 715.78930660000003 LHS = 10.202317538572443 NaN NaN NaN -10.340012129130837 grid col = 1 zm level = 12 height [m] = 764.47351070000002 LHS = -4.4976089854072135E-003 1.0227725395227450E-002 3.8122831566259917E-002 -1.0312940031277961E-002 -4.7896394608686072E-003 grid col = 1 zt level = 12 height [m] = 813.15771480000001 LHS = 9.6775969798217005 NaN NaN NaN -9.8084785180843514 grid col = 1 zm level = 13 height [m] = 867.10510249999993 LHS = -3.8227653369093052E-003 9.2256346054896497E-003 3.7145069575874920E-002 -9.3110801764138412E-003 -4.0945172310577647E-003 grid col = 1 zt level = 13 height [m] = 921.05249019999997 LHS = 9.2064898706227556 NaN NaN NaN -9.3315064962834526 grid col = 1 zm level = 14 height [m] = 974.99987809999993 LHS = -3.5697168297120652E-003 9.2251709380181766E-003 3.7814839732475417E-002 -9.3115500329004775E-003 -3.8583655456598692E-003 grid col = 1 zt level = 14 height [m] = 1028.9472659999999 LHS = 8.7757935054034721 NaN NaN NaN -8.8965447937157709 grid col = 1 zm level = 15 height [m] = 1088.1578370000000 LHS = -3.0500897845128494E-003 8.3997364455445263E-003 3.8541432800746164E-002 -8.4893239300705015E-003 -3.2849778838418236E-003 grid col = 1 zt level = 15 height [m] = 1147.3684080000000 LHS = 8.3863699337795481 NaN NaN NaN -8.5035644773924162 grid col = 1 zm level = 16 height [m] = 1206.5789184999999 LHS = -2.9188764265490478E-003 8.3996382126038226E-003 3.9246963821479075E-002 -8.4894401061433762E-003 -3.0826627373191349E-003 grid col = 1 zt level = 16 height [m] = 1265.7894289999999 LHS = 8.0266798676666209 NaN NaN NaN -8.1411245583075402 grid col = 1 zm level = 17 height [m] = 1330.2631225000000 LHS = -2.5680848253572543E-003 7.7101880903107586E-003 3.8595001626427428E-002 -7.8002159027877657E-003 -2.7105770206241231E-003 grid col = 1 zt level = 17 height [m] = 1394.7368160000001 LHS = 7.6991699461349112 NaN NaN NaN -7.8115977973628112 grid col = 1 zm level = 18 height [m] = 1459.2104490000002 LHS = -2.4448442317537762E-003 7.7099873758778312E-003 3.8965590052048388E-002 -7.8004338089094046E-003 -2.5981435810934327E-003 grid col = 1 zt level = 18 height [m] = 1523.6840820000000 LHS = 7.3935447342278273 NaN NaN NaN -7.5051583082838782 grid col = 1 zm level = 19 height [m] = 1593.4208985000000 LHS = -2.1559315013909256E-003 7.1233063195290970E-003 3.9537714550834172E-002 -7.2165724667871984E-003 -2.2883819010726964E-003 grid col = 1 zt level = 19 height [m] = 1663.1577150000001 LHS = 7.1146465017489326 NaN NaN NaN -7.2255543288766662 grid col = 1 zm level = 20 height [m] = 1732.8945925000000 LHS = -2.0781210700814264E-003 7.1231949789959462E-003 3.9938408232330865E-002 -7.2166720316091783E-003 -2.1841894578501883E-003 grid col = 1 zt level = 20 height [m] = 1802.6314700000000 LHS = 6.8530144860811788 NaN NaN NaN -6.9626981252347511 grid col = 1 zm level = 21 height [m] = 1877.6315310000000 LHS = -1.8640161021875022E-003 6.6199477194372703E-003 3.9456529937595984E-002 -6.7136462799124033E-003 -1.9586393230143382E-003 grid col = 1 zt level = 21 height [m] = 1952.6315920000000 LHS = 6.6122898368628205 NaN NaN NaN -6.7212607245957576 grid col = 1 zm level = 22 height [m] = 2027.6315920000002 LHS = -1.8011016540540718E-003 6.6196924444109316E-003 3.9291661831757550E-002 -6.7139150436800596E-003 -1.8904750128755344E-003 grid col = 1 zt level = 22 height [m] = 2102.6315920000002 LHS = 6.3850623656740604 NaN NaN NaN -6.4936888127659333 grid col = 1 zm level = 23 height [m] = 2182.8947754999999 LHS = -1.6272856351036943E-003 6.1821684837114702E-003 3.8903453658191200E-002 -6.2771416589838102E-003 -1.7078996221755029E-003 grid col = 1 zt level = 23 height [m] = 2263.1579590000001 LHS = 6.1755761981166639 NaN NaN NaN -6.2838236707355684 grid col = 1 zm level = 24 height [m] = 2343.4211425000003 LHS = -1.5760892483442051E-003 6.1820397176339126E-003 3.8755582148104165E-002 -6.2772715711537442E-003 -1.6523189043289796E-003 grid col = 1 zt level = 24 height [m] = 2423.6843260000001 LHS = 5.9766787092625249 NaN NaN NaN -6.0844784469495465 grid col = 1 zm level = 25 height [m] = 2509.2105710000001 LHS = -1.4409047825072816E-003 5.7985672654967272E-003 3.8034184815439853E-002 -5.8940698569166687E-003 -1.5026723467948674E-003 grid col = 1 zt level = 25 height [m] = 2594.7368160000001 LHS = 5.7927591817534099 NaN NaN NaN -5.9000857298993061 grid col = 1 zm level = 26 height [m] = 2680.2631835000002 LHS = -1.4069386912558771E-003 5.7987434015309208E-003 3.7132634934648155E-002 -5.8938619165585576E-003 -1.4645848593565051E-003 grid col = 1 zt level = 26 height [m] = 2765.7895509999998 LHS = 5.6171076620831677 NaN NaN NaN -5.7239907367231604 grid col = 1 zm level = 27 height [m] = 2856.5791015000000 LHS = -1.2874406111798489E-003 5.4597047679500908E-003 3.6425903047926235E-002 -5.5551023747124886E-003 -1.3478245067383033E-003 grid col = 1 zt level = 27 height [m] = 2947.3686520000001 LHS = 5.4541141030002391 NaN NaN NaN -5.5607935070173067 grid col = 1 zm level = 28 height [m] = 3038.1580810000000 LHS = -1.2503398667908750E-003 5.4595331314928382E-003 3.6334454555325094E-002 -5.5552907105418095E-003 -1.3099805157316274E-003 grid col = 1 zt level = 28 height [m] = 3128.9475100000000 LHS = 5.2976450703136875 NaN NaN NaN -5.4043355742251524 grid col = 1 zm level = 29 height [m] = 3225.0001219999999 LHS = -1.1473485951370174E-003 5.1572970597788832E-003 3.6242483942868491E-002 -5.2540173757550119E-003 -1.2032727391695804E-003 grid col = 1 zt level = 29 height [m] = 3321.0527339999999 LHS = 5.1521478549059099 NaN NaN NaN -5.2590944506295738 grid col = 1 zm level = 30 height [m] = 3417.1053465000000 LHS = -1.1163726760018860E-003 5.1569191593578562E-003 3.6272750762210634E-002 -5.2544018199464039E-003 -1.1689515799695605E-003 grid col = 1 zt level = 30 height [m] = 3513.1579590000001 LHS = 5.0122705569852704 NaN NaN NaN -5.1192049930534669 grid col = 1 zm level = 31 height [m] = 3614.4737550000000 LHS = -1.0277160153323089E-003 4.8863149169505104E-003 3.6274885604924159E-002 -4.9841965472734451E-003 -1.0789815906076523E-003 grid col = 1 zt level = 31 height [m] = 3715.7895509999998 LHS = 4.8813671893462987 NaN NaN NaN -4.9887234595838725 grid col = 1 zm level = 32 height [m] = 3817.1053469999997 LHS = -9.9546554550491344E-004 4.8854937023539219E-003 3.6791042310490268E-002 -4.9850380996809170E-003 -1.0484800057220108E-003 grid col = 1 zt level = 32 height [m] = 3918.4211430000000 LHS = 4.7544926208355385 NaN NaN NaN -4.8631337364176979 grid col = 1 zm level = 33 height [m] = 4025.0001224999996 LHS = -9.1930547677518903E-004 4.6407083103982213E-003 3.7298507928513157E-002 -4.7424585304411040E-003 -9.6632077649907533E-004 grid col = 1 zt level = 33 height [m] = 4131.5791019999997 LHS = 4.6369575499199716 NaN NaN NaN -4.7463498407403115 grid col = 1 zm level = 34 height [m] = 4238.1579590000001 LHS = -8.9589781585699437E-004 4.6405172806265899E-003 3.7592209429937372E-002 -4.7426630350776069E-003 -9.3950229383668257E-004 grid col = 1 zt level = 34 height [m] = 4344.7368159999996 LHS = 4.5224375335548661 NaN NaN NaN -4.6321258154861455 grid col = 1 zm level = 35 height [m] = 4456.5788570000004 LHS = -8.2845635743474531E-004 4.4191716670857533E-003 3.8005589491940391E-002 -4.5225055118743489E-003 -8.7311447523418407E-004 grid col = 1 zt level = 35 height [m] = 4568.4208980000003 LHS = 4.4148351864412776 NaN NaN NaN -4.5259294992898171 grid col = 1 zm level = 36 height [m] = 4680.2629390000002 LHS = -8.0613405763407841E-004 4.4178944699699851E-003 3.8744863924198403E-002 -4.5238252691687762E-003 -8.4807563192907656E-004 grid col = 1 zt level = 36 height [m] = 4792.1049800000001 LHS = 4.3109285170769267 NaN NaN NaN -4.4230660432041677 grid col = 1 zm level = 37 height [m] = 4909.2102049999994 LHS = -7.5250181982228020E-004 4.2167971688485024E-003 3.8924170917555137E-002 -4.3230976362687206E-003 -7.8883646107039639E-004 grid col = 1 zt level = 37 height [m] = 5026.3154299999997 LHS = 4.2138696263093296 NaN NaN NaN -4.3261040394160322 grid col = 1 zm level = 38 height [m] = 5143.4206544999997 LHS = -7.3699407606346102E-004 4.2166290888629027E-003 3.8721474638686124E-002 -4.3232675753626711E-003 -7.7150182656934602E-004 grid col = 1 zt level = 38 height [m] = 5260.5258789999998 LHS = 4.1190466379356510 NaN NaN NaN -4.2312110385268076 grid col = 1 zm level = 39 height [m] = 5382.8942870000001 LHS = -6.9066411293073541E-004 4.0329958218362025E-003 3.8384405570441975E-002 -4.1396355197052259E-003 -7.2353692743398735E-004 grid col = 1 zt level = 39 height [m] = 5505.2626950000003 LHS = 4.0302315123618131 NaN NaN NaN -4.1424490493699935 grid col = 1 zm level = 40 height [m] = 5627.6313475000006 LHS = -6.8348263538231329E-004 4.0327705740256497E-003 3.8222010681193290E-002 -4.1398479429922853E-003 -7.0896289843243548E-004 grid col = 1 zt level = 40 height [m] = 5750.0000000000000 LHS = 3.9860112143177031 NaN NaN NaN -4.0986153567595549 grid col = 1 zm level = 41 height [m] = 5875.0000000000000 LHS = -6.6604590003278689E-004 3.9465392216460771E-003 3.7629698932805822E-002 -4.0540681676971453E-003 -6.8709219739004348E-004 grid col = 1 zt level = 41 height [m] = 6000.0000000000000 LHS = 3.9450830416083722 NaN NaN NaN -4.0568517388056726 grid col = 1 zm level = 42 height [m] = 6125.0000000000000 LHS = -6.7112645592597164E-004 3.9476573749785537E-003 3.6581678613780831E-002 -4.0528966649192345E-003 -6.8399553515652181E-004 grid col = 1 zt level = 42 height [m] = 6250.0000000000000 LHS = 3.9448797273221783 NaN NaN NaN -4.0558195853871393 grid col = 1 zm level = 43 height [m] = 6375.0000000000000 LHS = -6.7174289527485677E-004 3.9475184850610101E-003 3.6002950428151756E-002 -4.0530345013744095E-003 -6.8904122680299028E-004 grid col = 1 zt level = 43 height [m] = 6500.0000000000000 LHS = 3.9445547727264150 NaN NaN NaN -4.0560332831837975 grid col = 1 zm level = 44 height [m] = 6625.0000000000000 LHS = -6.7440331799719548E-004 3.9472325116353896E-003 3.5670034760042678E-002 -4.0533253729959093E-003 -6.8974788385448916E-004 grid col = 1 zt level = 44 height [m] = 6750.0000000000000 LHS = 3.9447326447236715 NaN NaN NaN -4.0563701295372034 grid col = 1 zm level = 45 height [m] = 6875.0000000000000 LHS = -6.8079700969713884E-004 3.9475114625710300E-003 3.4829939978957232E-002 -4.0530263010675593E-003 -6.9247868660196805E-004 grid col = 1 zt level = 45 height [m] = 7000.0000000000000 LHS = 3.9449482259325315 NaN NaN NaN -4.0561997076068161 grid col = 1 zm level = 46 height [m] = 7125.0000000000000 LHS = -6.8467937302045046E-004 3.9478408956657596E-003 3.3978906031160203E-002 -4.0526741845270482E-003 -6.9893361735948590E-004 grid col = 1 zt level = 46 height [m] = 7250.0000000000000 LHS = 3.9445585511372196 NaN NaN NaN -4.0559917657895221 grid col = 1 zm level = 47 height [m] = 7375.0000000000000 LHS = -6.8473684311983103E-004 3.9474970887826196E-003 3.3672391780262864E-002 -4.0530239036780796E-003 -7.0292140401449212E-004 grid col = 1 zt level = 47 height [m] = 7500.0000000000000 LHS = 3.9441658624941835 NaN NaN NaN -4.0563956204768852 grid col = 1 zm level = 48 height [m] = 7625.0000000000000 LHS = -6.8823615533111532E-004 3.9471468636682197E-003 3.3397098360890103E-002 -4.0533801912061860E-003 -7.0310343330662838E-004 grid col = 1 zt level = 48 height [m] = 7750.0000000000000 LHS = 3.9441764920395959 NaN NaN NaN -4.0568027426405839 grid col = 1 zm level = 49 height [m] = 7875.0000000000000 LHS = -6.9380982221087261E-004 3.9472599983852545E-003 3.2756005164538936E-002 -4.0532521848668243E-003 -7.0673699171854975E-004 grid col = 1 zt level = 49 height [m] = 8000.0000000000000 LHS = 3.9439255671856852 NaN NaN NaN -4.0568034592833619 grid col = 1 zm level = 50 height [m] = 8125.0000000000000 LHS = -6.9579403123143509E-004 3.9470962511111039E-003 3.2264276063938398E-002 -4.0534128511258193E-003 -7.1246830731629682E-004 grid col = 1 zt level = 50 height [m] = 8250.0000000000000 LHS = 3.9435081363605886 NaN NaN NaN -4.0570688940200101 grid col = 1 zm level = 51 height [m] = 8375.0000000000000 LHS = -6.9582855885623365E-004 3.9467012523572856E-003 3.2132728002520441E-002 -4.0538147122644473E-003 -7.1460635897028818E-004 grid col = 1 zt level = 51 height [m] = 8500.0000000000000 LHS = 3.9431599166859290 NaN NaN NaN -4.0575021201116250 grid col = 1 zm level = 52 height [m] = 8625.0000000000000 LHS = -6.9163892162830152E-004 3.9462987073217524E-003 3.2384509239334676E-002 -4.0542243013975340E-003 -7.1478555698544779E-004 grid col = 1 zt level = 52 height [m] = 8750.0000000000000 LHS = 3.9422855294718828 NaN NaN NaN -4.0578644520153899 grid col = 1 zm level = 53 height [m] = 8875.0000000000000 LHS = -6.8376942943749216E-004 3.9452807339090627E-003 3.3182245377419844E-002 -4.0552753630381097E-003 -7.1073846330832653E-004 grid col = 1 zt level = 53 height [m] = 9000.0000000000000 LHS = 3.9413504395273264 NaN NaN NaN -4.0587597431641012 grid col = 1 zm level = 54 height [m] = 9125.0000000000000 LHS = -6.8009738932445381E-004 3.9442111773292134E-003 3.4026503904572229E-002 -4.0563812617118687E-003 -7.0302462308011529E-004 grid col = 1 zt level = 54 height [m] = 9250.0000000000000 LHS = 3.9410085029247384 NaN NaN NaN -4.0597166863930827 grid col = 1 zm level = 55 height [m] = 9375.0000000000000 LHS = -6.8014947732056557E-004 3.9438230759037997E-003 3.4300192430362850E-002 -4.0567765385839793E-003 -6.9950695054616524E-004 grid col = 1 zt level = 55 height [m] = 9500.0000000000000 LHS = 3.9406139026467293 NaN NaN NaN -4.0600728934336026 grid col = 1 zm level = 56 height [m] = 9625.0000000000000 LHS = -6.8020006779213286E-004 3.9434272733301842E-003 3.4280541316560192E-002 -4.0571797098305201E-003 -6.9969889772614712E-004 grid col = 1 zt level = 56 height [m] = 9750.0000000000000 LHS = 3.9403141749439006 NaN NaN NaN -4.0604834627477411 grid col = 1 zm level = 57 height [m] = 9875.0000000000000 LHS = -6.7203610486485594E-004 3.9430235586730422E-003 3.4967418203106330E-002 -4.0575909932348293E-003 -6.9989211854801334E-004 grid col = 1 zt level = 57 height [m] = 10000.000000000000 LHS = 3.9380979024568439 NaN NaN NaN -4.0607966082304126 grid col = 1 zm level = 58 height [m] = 10125.000000000000 LHS = -6.6193095248671236E-004 3.9406120852274462E-003 3.6736754502046297E-002 -4.0601037047776917E-003 -6.9199086399179756E-004 grid col = 1 zt level = 58 height [m] = 10250.000000000000 LHS = 3.9370785159865820 NaN NaN NaN -4.0630525842620679 grid col = 1 zm level = 59 height [m] = 10375.000000000000 LHS = -6.5965559410100817E-004 3.9394549345239055E-003 3.8131532151855427E-002 -4.0613067479529667E-003 -6.8220484175317015E-004 grid col = 1 zt level = 59 height [m] = 10500.000000000000 LHS = 3.9367735478610828 NaN NaN NaN -4.0640943282520210 grid col = 1 zm level = 60 height [m] = 10625.000000000000 LHS = -6.5974815635942013E-004 3.9391219509281117E-003 3.8380959640084381E-002 -4.0616462866155294E-003 -6.8011634572723463E-004 grid col = 1 zt level = 60 height [m] = 10750.000000000000 LHS = 3.9364333842490096 NaN NaN NaN -4.0644129675425660 grid col = 1 zm level = 61 height [m] = 10875.000000000000 LHS = -6.5983916547085908E-004 3.9387815402603873E-003 3.8342297725687660E-002 -4.0619934479525794E-003 -6.8032742367860402E-004 grid col = 1 zt level = 61 height [m] = 11000.000000000000 LHS = 3.9361042439627734 NaN NaN NaN -4.0647680561182646 grid col = 1 zm level = 62 height [m] = 11125.000000000000 LHS = -6.5844626577035899E-004 3.9384335167669303E-003 3.8498056803807391E-002 -4.0623484239444901E-003 -6.8053954414800766E-004 grid col = 1 zt level = 62 height [m] = 11250.000000000000 LHS = 3.9352582213056007 NaN NaN NaN -4.0651119435930960 grid col = 1 zm level = 63 height [m] = 11375.000000000000 LHS = -6.5129511278765745E-004 3.9374895257897301E-003 3.9663471919399750E-002 -4.0633292565642543E-003 -6.7932693650659694E-004 grid col = 1 zt level = 63 height [m] = 11500.000000000000 LHS = 3.9320855816954770 NaN NaN NaN -4.0659791048010252 grid col = 1 zm level = 64 height [m] = 11625.000000000000 LHS = -6.4563780995029370E-004 3.9342157178293763E-003 4.1620420442407421E-002 -4.0667642691727219E-003 -6.7267828295757264E-004 grid col = 1 zt level = 64 height [m] = 11750.000000000000 LHS = 3.9319134531654445 NaN NaN NaN -4.0692061648984295 grid col = 1 zm level = 65 height [m] = 11875.000000000000 LHS = -6.4577705324663978E-004 3.9339781040556949E-003 4.2525431641701333E-002 -4.0670061389672645E-003 -6.6742983225789247E-004 grid col = 1 zt level = 65 height [m] = 12000.000000000000 LHS = 3.9316678561646712 NaN NaN NaN -4.0693881421414027 grid col = 1 zm level = 66 height [m] = 12125.000000000000 LHS = -6.4591457104053293E-004 3.9337331211559586E-003 4.2457835347693811E-002 -4.0672555869781706E-003 -6.6765504491544828E-004 grid col = 1 zt level = 66 height [m] = 12250.000000000000 LHS = 3.9314148383154328 NaN NaN NaN -4.0696461739548333 grid col = 1 zm level = 67 height [m] = 12375.000000000000 LHS = -6.4605034369848743E-004 3.9334806302422877E-003 4.2390799647420131E-002 -4.0675127566079765E-003 -6.6788103729169463E-004 grid col = 1 zt level = 67 height [m] = 12500.000000000000 LHS = 3.9311542577773060 NaN NaN NaN -4.0699119936045047 grid col = 1 zm level = 68 height [m] = 12625.000000000000 LHS = -6.4618435053090287E-004 3.9332204864638903E-003 4.2324316857340116E-002 -4.0677777974690117E-003 -6.6810783913331668E-004 grid col = 1 zt level = 68 height [m] = 12750.000000000000 LHS = 3.9309424590427704 NaN NaN NaN -4.0701857541122290 grid col = 1 zm level = 69 height [m] = 12875.000000000000 LHS = -6.4179733242302590E-004 3.9329525387746169E-003 4.3130987996606591E-002 -4.0680508656267831E-003 -6.6833548121148618E-004 grid col = 1 zt level = 69 height [m] = 13000.000000000000 LHS = 3.9272624568061518 NaN NaN NaN -4.0704091821432948 grid col = 1 zm level = 70 height [m] = 13125.000000000000 LHS = -6.3298745905667733E-004 3.9291838931452367E-003 4.5922543478395680E-002 -4.0720252415426036E-003 -6.6449185740632597E-004 grid col = 1 zt level = 70 height [m] = 13250.000000000000 LHS = 3.9222102388766964 NaN NaN NaN -4.0741509130305822 grid col = 1 zm level = 71 height [m] = 13375.000000000000 LHS = -6.2850453623506069E-004 3.9240931755678910E-003 4.9208290943566817E-002 -4.0774243839243702E-003 -6.5686884871403071E-004 grid col = 1 zt level = 71 height [m] = 13500.000000000000 LHS = 3.9223452680035358 NaN NaN NaN -4.0792824270309902 grid col = 1 zm level = 72 height [m] = 13625.000000000000 LHS = -6.2875290064842444E-004 3.9241803076803788E-003 5.0309358087261176E-002 -4.0773285650672914E-003 -6.5304756645966327E-004 grid col = 1 zt level = 72 height [m] = 13750.000000000000 LHS = 3.9224214562054316 NaN NaN NaN -4.0791473229156319 grid col = 1 zm level = 73 height [m] = 13875.000000000000 LHS = -6.2899853068149449E-004 3.9242573425535355E-003 5.0154568945023605E-002 -4.0772432910290493E-003 -6.5327746048427610E-004 grid col = 1 zt level = 73 height [m] = 14000.000000000000 LHS = 3.9224876247645382 NaN NaN NaN -4.0790733215987185 grid col = 1 zm level = 74 height [m] = 14125.000000000000 LHS = -6.2924145471016438E-004 3.9243243684840027E-003 5.0001992284565769E-002 -4.0771684640984063E-003 -6.5350784859335119E-004 grid col = 1 zt level = 74 height [m] = 14250.000000000000 LHS = 3.9225438571636180 NaN NaN NaN -4.0790096975794921 grid col = 1 zm level = 75 height [m] = 14375.000000000000 LHS = -6.2948169935904191E-004 3.9243814649712171E-003 4.9851575969926482E-002 -4.0771039959879747E-003 -6.5373873526952198E-004 grid col = 1 zt level = 75 height [m] = 14500.000000000000 LHS = 3.9225902281998595 NaN NaN NaN -4.0789563676214975 grid col = 1 zm level = 76 height [m] = 14625.000000000000 LHS = -6.2971928954163171E-004 3.9244287029107910E-003 4.9703269569010097E-002 -4.0770498076165311E-003 -6.5397012603837985E-004 grid col = 1 zt level = 76 height [m] = 14750.000000000000 LHS = 3.9226268041679382 NaN NaN NaN -4.0789132575873817 grid col = 1 zm level = 77 height [m] = 14875.000000000000 LHS = -6.2995424849694476E-004 3.9244661447680948E-003 4.9557024282653142E-002 -4.0770058289130873E-003 -6.5420202745331956E-004 grid col = 1 zt level = 77 height [m] = 15000.000000000000 LHS = 3.9228518940869681 NaN NaN NaN -4.0788803022538271 grid col = 1 zm level = 78 height [m] = 15125.000000000000 LHS = -6.1432646169918257E-004 3.9244938447328091E-003 5.5342063645555925E-002 -4.0769719986418502E-003 -6.5443444708306443E-004 grid col = 1 zt level = 78 height [m] = 15250.000000000000 LHS = 3.8576939310596909 NaN NaN NaN -4.0786514914455321 grid col = 1 zm level = 79 height [m] = 15375.000000000000 LHS = -6.0242711230899814E-004 3.8616779776563161E-003 6.5344528193997331E-002 -4.1460679053354653E-003 -6.4901088573950550E-004 grid col = 1 zt level = 79 height [m] = 15500.000000000000 LHS = 3.9201045679888966 NaN NaN NaN -4.1447627421124382 grid col = 1 zm level = 80 height [m] = 15625.000000000000 LHS = -6.2395380192994813E-004 3.9217694964758165E-003 5.9096678628521887E-002 -4.0799289920051933E-003 -6.3647457278950684E-004 grid col = 1 zt level = 80 height [m] = 15750.000000000000 LHS = 3.9190207805858641 NaN NaN NaN -4.0813851338671627 grid col = 1 zm level = 81 height [m] = 15875.000000000000 LHS = -6.2468921585533100E-004 3.9208722447165844E-003 5.3098538556514210E-002 -4.0808877121395878E-003 -6.4926952120129659E-004 grid col = 1 zt level = 81 height [m] = 16000.000000000000 LHS = 3.9216780296154212 NaN NaN NaN -4.0824886030033092 grid col = 1 zm level = 82 height [m] = 16125.000000000000 LHS = -6.2605914970984217E-004 3.9234866791319897E-003 5.2393375240773365E-002 -4.0780987711582202E-003 -6.4973918162425717E-004 grid col = 1 zt level = 82 height [m] = 16250.000000000000 LHS = 3.9208477799755626 NaN NaN NaN -4.0797920206239775 grid col = 1 zm level = 83 height [m] = 16375.000000000000 LHS = -6.2505738194760737E-004 3.9226765451563827E-003 5.2363008703776817E-002 -4.0789612697319866E-003 -6.5086776968304773E-004 grid col = 1 zt level = 83 height [m] = 16500.000000000000 LHS = 3.9199991292419458 NaN NaN NaN -4.0806356518816393 grid col = 1 zm level = 84 height [m] = 16625.000000000000 LHS = -6.2403232021212142E-004 3.9218270249125340E-003 5.3039702118862213E-002 -4.0798672571082488E-003 -6.5010487534862050E-004 grid col = 1 zt level = 84 height [m] = 16750.000000000000 LHS = 3.9190825632388639 NaN NaN NaN -4.0814966603658238 grid col = 1 zm level = 85 height [m] = 16875.000000000000 LHS = -6.2471398921838737E-004 3.9209331125248928E-003 5.3065387557854803E-002 -4.0808222798716792E-003 -6.4933128858186647E-004 grid col = 1 zt level = 85 height [m] = 17000.000000000000 LHS = 3.9216255645160465 NaN NaN NaN -4.0824263255464066 grid col = 1 zm level = 86 height [m] = 17125.000000000000 LHS = -6.2600644980592398E-004 3.9234347066772358E-003 5.2404437994797527E-002 -4.0781537107593847E-003 -6.4976361498135364E-004 grid col = 1 zt level = 86 height [m] = 17250.000000000000 LHS = 3.9207936463846611 NaN NaN NaN -4.0798456833289283 grid col = 1 zm level = 87 height [m] = 17375.000000000000 LHS = -6.2500349174379028E-004 3.9226222576789265E-003 5.2396793048318444E-002 -4.0790187527623891E-003 -6.5083077431180914E-004 grid col = 1 zt level = 87 height [m] = 17500.000000000000 LHS = 3.9199429960567511 NaN NaN NaN -4.0806909610911459 grid col = 1 zm level = 88 height [m] = 17625.000000000000 LHS = -6.2397733672810705E-004 3.9217708222622034E-003 5.3075484372581083E-002 -4.0799268677979292E-003 -6.5006732000288611E-004 grid col = 1 zt level = 88 height [m] = 17750.000000000000 LHS = 3.9190232409582553 NaN NaN NaN -4.0815539651851571 grid col = 1 zm level = 89 height [m] = 17875.000000000000 LHS = -6.2468470253725821E-004 3.9208741709755683E-003 5.3091269748890654E-002 -4.0808849093788065E-003 -6.4929334544318860E-004 grid col = 1 zt level = 89 height [m] = 18000.000000000000 LHS = 3.9216238318625138 NaN NaN NaN -4.0824868380017119 grid col = 1 zm level = 90 height [m] = 18125.000000000000 LHS = -6.2601498940759127E-004 3.9234325840878728E-003 5.2408600290532049E-002 -4.0781556559506505E-003 -6.4974323116426345E-004 grid col = 1 zt level = 90 height [m] = 18250.000000000000 LHS = 3.9207919171369130 NaN NaN NaN -4.0798477472247354 grid col = 1 zm level = 91 height [m] = 18375.000000000000 LHS = -6.2501226323173674E-004 3.9226204798432727E-003 5.2390029514736154E-002 -4.0790203186165819E-003 -6.5084025450274394E-004 grid col = 1 zt level = 91 height [m] = 18500.000000000000 LHS = 3.9199415203213546 NaN NaN NaN -4.0806930436386306 grid col = 1 zm level = 92 height [m] = 18625.000000000000 LHS = -6.2398642170858926E-004 3.9217692845220104E-003 5.3068271789538039E-002 -4.0799281646122397E-003 -6.5007694450447742E-004 grid col = 1 zt level = 92 height [m] = 18750.000000000000 LHS = 3.9190224099487789 NaN NaN NaN -4.0815558046166212 grid col = 1 zm level = 93 height [m] = 18875.000000000000 LHS = -6.2469712586968459E-004 3.9208732908339204E-003 5.3082671048928012E-002 -4.0808854897815558E-003 -6.4930314596047358E-004 grid col = 1 zt level = 93 height [m] = 19000.000000000000 LHS = 3.9216266630281909 NaN NaN NaN -4.0824880392160852 grid col = 1 zm level = 94 height [m] = 19125.000000000000 LHS = -6.2603147926081320E-004 3.9234353613858304E-003 5.2397801529381872E-002 -4.0781523397801995E-003 -6.4975577034716563E-004 grid col = 1 zt level = 94 height [m] = 19250.000000000000 LHS = 3.9207954900875639 NaN NaN NaN -4.0798452310357902 grid col = 1 zm level = 95 height [m] = 19375.000000000000 LHS = -6.2502933839645748E-004 3.9226240087843730E-003 5.2377756283079023E-002 -4.0790161781145825E-003 -6.5085627688584748E-004 grid col = 1 zt level = 95 height [m] = 19500.000000000000 LHS = 3.9199458574839459 NaN NaN NaN -4.0806897956591888 grid col = 1 zm level = 96 height [m] = 19625.000000000000 LHS = -6.2400382034883566E-004 3.9217735449326597E-003 5.3055241076217882E-002 -4.0799232181263287E-003 -6.5009333140856273E-004 grid col = 1 zt level = 96 height [m] = 19750.000000000000 LHS = 3.9190413301998546 NaN NaN NaN -4.0815518027387734 grid col = 1 zm level = 97 height [m] = 19875.000000000000 LHS = -6.2358500954189458E-004 3.9208779820332071E-003 5.3518508523738115E-002 -4.0808800552780194E-003 -6.4931968042090938E-004 grid col = 1 zt level = 97 height [m] = 20000.000000000000 LHS = 3.9194482305655862 NaN NaN NaN -4.0824688942441094 grid col = 1 zm level = 98 height [m] = 20125.000000000000 LHS = -6.2345522944315325E-004 3.9212698627788829E-003 5.3708064649029448E-002 -4.0804624916856878E-003 -6.4896567898133897E-004 grid col = 1 zt level = 98 height [m] = 20250.000000000000 LHS = 3.9186985062235236 NaN NaN NaN -4.0820548106142684 grid col = 1 zm level = 99 height [m] = 20375.000000000000 LHS = -6.2259019459841097E-004 3.9205286322655797E-003 5.4094417641650856E-002 -4.0812553918519213E-003 -6.4889184008874918E-004 grid col = 1 zt level = 99 height [m] = 20500.000000000000 LHS = 3.9179157200218211 NaN NaN NaN -4.0828143584257504 grid col = 1 zm level = 100 height [m] = 20625.000000000000 LHS = -6.2169998422117036E-004 3.9197492231895122E-003 5.4735036659374472E-002 -4.0820905229867312E-003 -6.4824664514845874E-004 grid col = 1 zt level = 100 height [m] = 20750.000000000000 LHS = 3.9170676536154865 NaN NaN NaN -4.0836064906247946 grid col = 1 zm level = 101 height [m] = 20875.000000000000 LHS = -6.2233063200961981E-004 3.9189257385051114E-003 5.4737177180899113E-002 -4.0829743831293942E-003 -6.4758865045491242E-004 grid col = 1 zt level = 101 height [m] = 21000.000000000000 LHS = 3.9197775934265437 NaN NaN NaN -4.0844645143515850 grid col = 1 zm level = 102 height [m] = 21125.000000000000 LHS = -6.2358287440113149E-004 3.9215877802104837E-003 5.4064440147958630E-002 -4.0801309131749865E-003 -6.4793022866688969E-004 grid col = 1 zt level = 102 height [m] = 21250.000000000000 LHS = 3.9190206252766151 NaN NaN NaN -4.0817126035186124 grid col = 1 zm level = 103 height [m] = 21375.000000000000 LHS = -6.2271967644221310E-004 3.9208518754720555E-003 5.4029992432606880E-002 -4.0809179176159631E-003 -6.4891841465434575E-004 grid col = 1 zt level = 103 height [m] = 21500.000000000000 LHS = 3.9182436636064262 NaN NaN NaN -4.0824797822475745 grid col = 1 zm level = 104 height [m] = 21625.000000000000 LHS = -6.2183162837021100E-004 3.9200780796319664E-003 5.4667261913824275E-002 -4.0817468136164483E-003 -6.4827342011951122E-004 grid col = 1 zt level = 104 height [m] = 21750.000000000000 LHS = 3.9174020711824467 NaN NaN NaN -4.0832659671422684 grid col = 1 zm level = 105 height [m] = 21875.000000000000 LHS = -6.2249160602376695E-004 3.9192611509644426E-003 5.4656694024647977E-002 -4.0826233928384290E-003 -6.4761576193640008E-004 grid col = 1 zt level = 105 height [m] = 22000.000000000000 LHS = 3.9201542478443101 NaN NaN NaN -4.0841174008264094 grid col = 1 zm level = 106 height [m] = 22125.000000000000 LHS = -6.2378112868724305E-004 3.9219653567967991E-003 5.3962650806325133E-002 -4.0797356879051011E-003 -6.4797958663499234E-004 grid col = 1 zt level = 106 height [m] = 22250.000000000000 LHS = 3.9194053447125912 NaN NaN NaN -4.0813228462706466 grid col = 1 zm level = 107 height [m] = 22375.000000000000 LHS = -6.2292192011015194E-004 3.9212375684085365E-003 5.3914719754523568E-002 -4.0805137114978589E-003 -6.4899794287341086E-004 grid col = 1 zt level = 107 height [m] = 22500.000000000000 LHS = 3.9186381509031665 NaN NaN NaN -4.0820818608240463 grid col = 1 zm level = 108 height [m] = 22625.000000000000 LHS = -6.2203815715727862E-004 3.9204731824397073E-003 5.4545442403157611E-002 -4.0813321984407500E-003 -6.4835431297061966E-004 grid col = 1 zt level = 108 height [m] = 22750.000000000000 LHS = 3.9178069202825596 NaN NaN NaN -4.0828581642585320 grid col = 1 zm level = 109 height [m] = 22875.000000000000 LHS = -6.2267306218575993E-004 3.9196658525605371E-003 5.4545069562664791E-002 -4.0821981130704024E-003 -6.4769808980686338E-004 grid col = 1 zt level = 109 height [m] = 23000.000000000000 LHS = 3.9204715638513843 NaN NaN NaN -4.0836991174112205 grid col = 1 zm level = 110 height [m] = 23125.000000000000 LHS = -6.2391958868388670E-004 3.9222843520006906E-003 5.3878281386138857E-002 -4.0794028153107549E-003 -6.4804867007717129E-004 grid col = 1 zt level = 110 height [m] = 23250.000000000000 LHS = 3.9197287899013729 NaN NaN NaN -4.0809935814352931 grid col = 1 zm level = 111 height [m] = 23375.000000000000 LHS = -6.2306234776815755E-004 3.9215621095257218E-003 5.3842196182275898E-002 -4.0801747012795446E-003 -6.4903527967884699E-004 grid col = 1 zt level = 111 height [m] = 23500.000000000000 LHS = 3.9189675812992530 NaN NaN NaN -4.0817463318216376 grid col = 1 zm level = 112 height [m] = 23625.000000000000 LHS = -6.2218101931944283E-004 3.9208034872196115E-003 5.4469170631994170E-002 -4.0809867856759991E-003 -6.4839192568637728E-004 grid col = 1 zt level = 112 height [m] = 23750.000000000000 LHS = 3.9181448102781453 NaN NaN NaN -4.0825165401431773 grid col = 1 zm level = 113 height [m] = 23875.000000000000 LHS = -6.2273981313570284E-004 3.9200033550539810E-003 5.4500967142354619E-002 -4.0818447269022140E-003 -6.4773619008604553E-004 grid col = 1 zt level = 113 height [m] = 24000.000000000000 LHS = 3.9206295444447643 NaN NaN NaN -4.0833488691507647 grid col = 1 zm level = 114 height [m] = 24125.000000000000 LHS = -6.2387336480972805E-004 3.9224447252538385E-003 5.3902356337562282E-002 -4.0792391989790287E-003 -6.4803634752834361E-004 grid col = 1 zt level = 114 height [m] = 24250.000000000000 LHS = 3.9198858782580448 NaN NaN NaN -4.0808259641159763 grid col = 1 zm level = 115 height [m] = 24375.000000000000 LHS = -6.2301342024561127E-004 3.9217206672365699E-003 5.3902068764508086E-002 -4.0800130867901570E-003 -6.4893495542088866E-004 grid col = 1 zt level = 115 height [m] = 24500.000000000000 LHS = 3.9191224423290572 NaN NaN NaN -4.0815794076589382 grid col = 1 zm level = 116 height [m] = 24625.000000000000 LHS = -6.2212923751475018E-004 3.9209599351575910E-003 5.4533252151727586E-002 -4.0808274902555735E-003 -6.4828949021704342E-004 grid col = 1 zt level = 116 height [m] = 24750.000000000000 LHS = 3.9182576518441894 NaN NaN NaN -4.0823516853973363 grid col = 1 zm level = 117 height [m] = 24875.000000000000 LHS = -6.2578211748777869E-004 3.9201566441356790E-003 5.3291592948602980E-002 -4.0816888757039477E-003 -6.4763171009348094E-004 grid col = 1 zt level = 117 height [m] = 25000.000000000000 LHS = 3.9262075176609681 NaN NaN NaN -4.0832274787465597 grid col = 1 zm level = 118 height [m] = 25125.000000000000 LHS = -6.3137867654163872E-004 3.9280159497655249E-003 5.0337488473678485E-002 -4.0733187572220206E-003 -6.5023167911166244E-004 grid col = 1 zt level = 118 height [m] = 25250.000000000000 LHS = 3.9256276061884945 NaN NaN NaN -4.0751630029712587 grid col = 1 zm level = 119 height [m] = 25375.000000000000 LHS = -6.3068887808805552E-004 3.9274910824915925E-003 4.9140273770406931E-002 -4.0738720236938447E-003 -6.5482318799478577E-004 grid col = 1 zt level = 119 height [m] = 25500.000000000000 LHS = 3.9250951871586865 NaN NaN NaN -4.0757560446332910 grid col = 1 zm level = 120 height [m] = 25625.000000000000 LHS = -6.2998475564921279E-004 3.9269524447867283E-003 4.9522347319645776E-002 -4.0744404922653174E-003 -6.5428647676855889E-004 grid col = 1 zt level = 120 height [m] = 25750.000000000000 LHS = 3.9245487455850321 NaN NaN NaN -4.0762992316588376 grid col = 1 zm level = 121 height [m] = 25875.000000000000 LHS = -6.2926661523177857E-004 3.9264002514773451E-003 4.9921838473973940E-002 -4.0750239904814153E-003 -6.5373926193484574E-004 grid col = 1 zt level = 121 height [m] = 26000.000000000000 LHS = 3.9239865548218447 NaN NaN NaN -4.0768563276004084 grid col = 1 zm level = 122 height [m] = 26125.000000000000 LHS = -6.2853292667725815E-004 3.9258328462329602E-003 5.0340059923819562E-002 -4.0756243374436667E-003 -6.5318209237951754E-004 grid col = 1 zt level = 122 height [m] = 26250.000000000000 LHS = 3.9234061836285918 NaN NaN NaN -4.0774290511951383 grid col = 1 zm level = 123 height [m] = 26375.000000000000 LHS = -6.2778295080654657E-004 3.9252478823125500E-003 5.0778658760037246E-002 -4.0762440950465910E-003 -6.5261403917615812E-004 grid col = 1 zt level = 123 height [m] = 26500.000000000000 LHS = 3.9228068847909188 NaN NaN NaN -4.0780198324912034 grid col = 1 zm level = 124 height [m] = 26625.000000000000 LHS = -6.2701636446222970E-004 3.9246446767952116E-003 5.1239068489336952E-002 -4.0768840649574546E-003 -6.5203482305614701E-004 grid col = 1 zt level = 124 height [m] = 26750.000000000000 LHS = 3.9221859739614131 NaN NaN NaN -4.0786293893391772 grid col = 1 zm level = 125 height [m] = 26875.000000000000 LHS = -6.2623183180637062E-004 3.9240206535578314E-003 5.1723058516173502E-002 -4.0775470715773482E-003 -6.5144464054559502E-004 grid col = 1 zt level = 125 height [m] = 27000.000000000000 LHS = 3.9220875313825050 NaN NaN NaN -4.0792604017459908 grid col = 1 zm level = 126 height [m] = 27125.000000000000 LHS = -5.8170395203463400E-004 3.9233734589881547E-003 8.3548487968860469E-002 -4.0782357153474422E-003 -6.5084291038188197E-004 grid col = 1 zt level = 126 height [m] = 27250.000000000000 LHS = 3.9219526749230322 NaN NaN NaN -4.0793472041595180 grid col = 1 zm level = 127 height [m] = 27375.000000000000 LHS = -5.8110875286102048E-004 3.9227000316432300E-003 0.94494989444711386 -4.0789533651334814E-003 -6.0477120454269727E-004 grid col = 1 zt level = 127 height [m] = 27500.000000000000 LHS = 0.0000000000000000 0.0000000000000000 1.0000000000000000 0.0000000000000000 0.0000000000000000 grid col = 1 zm level = 128 height [m] = 27625.000000000000 LHS = 0.0000000000000000 0.0000000000000000 1.0000000000000000 0.0000000000000000 0.0000000000000000 wp2 and wp3 RHS grid col = 1 zm level = 1 height [m] = 0.0000000000000000 RHS = NaN grid col = 1 zt level = 1 height [m] = 25.000000000000000 RHS = 0.0000000000000000 grid col = 1 zm level = 2 height [m] = 37.500000000000000 RHS = NaN grid col = 1 zt level = 2 height [m] = 50.000000000000000 RHS = NaN grid col = 1 zm level = 3 height [m] = 77.631576550000005 RHS = NaN grid col = 1 zt level = 3 height [m] = 105.26315310000000 RHS = NaN grid col = 1 zm level = 4 height [m] = 132.89472964999999 RHS = NaN grid col = 1 zt level = 4 height [m] = 160.52630619999999 RHS = NaN grid col = 1 zm level = 5 height [m] = 193.42102814999998 RHS = NaN grid col = 1 zt level = 5 height [m] = 226.31575010000000 RHS = NaN grid col = 1 zm level = 6 height [m] = 259.21047210000000 RHS = NaN grid col = 1 zt level = 6 height [m] = 292.10519410000001 RHS = NaN grid col = 1 zm level = 7 height [m] = 330.26307680000002 RHS = NaN grid col = 1 zt level = 7 height [m] = 368.42095949999998 RHS = NaN grid col = 1 zm level = 8 height [m] = 406.57884220000000 RHS = NaN grid col = 1 zt level = 8 height [m] = 444.73672490000001 RHS = NaN grid col = 1 zm level = 9 height [m] = 488.15776065000000 RHS = NaN grid col = 1 zt level = 9 height [m] = 531.57879639999999 RHS = NaN grid col = 1 zm level = 10 height [m] = 574.99984740000002 RHS = NaN grid col = 1 zt level = 10 height [m] = 618.42089840000006 RHS = NaN grid col = 1 zm level = 11 height [m] = 667.10510250000004 RHS = NaN grid col = 1 zt level = 11 height [m] = 715.78930660000003 RHS = NaN grid col = 1 zm level = 12 height [m] = 764.47351070000002 RHS = NaN grid col = 1 zt level = 12 height [m] = 813.15771480000001 RHS = NaN grid col = 1 zm level = 13 height [m] = 867.10510249999993 RHS = NaN grid col = 1 zt level = 13 height [m] = 921.05249019999997 RHS = NaN grid col = 1 zm level = 14 height [m] = 974.99987809999993 RHS = NaN grid col = 1 zt level = 14 height [m] = 1028.9472659999999 RHS = NaN grid col = 1 zm level = 15 height [m] = 1088.1578370000000 RHS = NaN grid col = 1 zt level = 15 height [m] = 1147.3684080000000 RHS = NaN grid col = 1 zm level = 16 height [m] = 1206.5789184999999 RHS = NaN grid col = 1 zt level = 16 height [m] = 1265.7894289999999 RHS = NaN grid col = 1 zm level = 17 height [m] = 1330.2631225000000 RHS = NaN grid col = 1 zt level = 17 height [m] = 1394.7368160000001 RHS = NaN grid col = 1 zm level = 18 height [m] = 1459.2104490000002 RHS = NaN grid col = 1 zt level = 18 height [m] = 1523.6840820000000 RHS = NaN grid col = 1 zm level = 19 height [m] = 1593.4208985000000 RHS = NaN grid col = 1 zt level = 19 height [m] = 1663.1577150000001 RHS = NaN grid col = 1 zm level = 20 height [m] = 1732.8945925000000 RHS = NaN grid col = 1 zt level = 20 height [m] = 1802.6314700000000 RHS = NaN grid col = 1 zm level = 21 height [m] = 1877.6315310000000 RHS = NaN grid col = 1 zt level = 21 height [m] = 1952.6315920000000 RHS = NaN grid col = 1 zm level = 22 height [m] = 2027.6315920000002 RHS = NaN grid col = 1 zt level = 22 height [m] = 2102.6315920000002 RHS = NaN grid col = 1 zm level = 23 height [m] = 2182.8947754999999 RHS = NaN grid col = 1 zt level = 23 height [m] = 2263.1579590000001 RHS = NaN grid col = 1 zm level = 24 height [m] = 2343.4211425000003 RHS = NaN grid col = 1 zt level = 24 height [m] = 2423.6843260000001 RHS = NaN grid col = 1 zm level = 25 height [m] = 2509.2105710000001 RHS = NaN grid col = 1 zt level = 25 height [m] = 2594.7368160000001 RHS = NaN grid col = 1 zm level = 26 height [m] = 2680.2631835000002 RHS = NaN grid col = 1 zt level = 26 height [m] = 2765.7895509999998 RHS = NaN grid col = 1 zm level = 27 height [m] = 2856.5791015000000 RHS = NaN grid col = 1 zt level = 27 height [m] = 2947.3686520000001 RHS = NaN grid col = 1 zm level = 28 height [m] = 3038.1580810000000 RHS = NaN grid col = 1 zt level = 28 height [m] = 3128.9475100000000 RHS = NaN grid col = 1 zm level = 29 height [m] = 3225.0001219999999 RHS = NaN grid col = 1 zt level = 29 height [m] = 3321.0527339999999 RHS = NaN grid col = 1 zm level = 30 height [m] = 3417.1053465000000 RHS = NaN grid col = 1 zt level = 30 height [m] = 3513.1579590000001 RHS = NaN grid col = 1 zm level = 31 height [m] = 3614.4737550000000 RHS = NaN grid col = 1 zt level = 31 height [m] = 3715.7895509999998 RHS = NaN grid col = 1 zm level = 32 height [m] = 3817.1053469999997 RHS = NaN grid col = 1 zt level = 32 height [m] = 3918.4211430000000 RHS = NaN grid col = 1 zm level = 33 height [m] = 4025.0001224999996 RHS = NaN grid col = 1 zt level = 33 height [m] = 4131.5791019999997 RHS = NaN grid col = 1 zm level = 34 height [m] = 4238.1579590000001 RHS = NaN grid col = 1 zt level = 34 height [m] = 4344.7368159999996 RHS = NaN grid col = 1 zm level = 35 height [m] = 4456.5788570000004 RHS = NaN grid col = 1 zt level = 35 height [m] = 4568.4208980000003 RHS = NaN grid col = 1 zm level = 36 height [m] = 4680.2629390000002 RHS = NaN grid col = 1 zt level = 36 height [m] = 4792.1049800000001 RHS = NaN grid col = 1 zm level = 37 height [m] = 4909.2102049999994 RHS = NaN grid col = 1 zt level = 37 height [m] = 5026.3154299999997 RHS = NaN grid col = 1 zm level = 38 height [m] = 5143.4206544999997 RHS = NaN grid col = 1 zt level = 38 height [m] = 5260.5258789999998 RHS = NaN grid col = 1 zm level = 39 height [m] = 5382.8942870000001 RHS = NaN grid col = 1 zt level = 39 height [m] = 5505.2626950000003 RHS = NaN grid col = 1 zm level = 40 height [m] = 5627.6313475000006 RHS = NaN grid col = 1 zt level = 40 height [m] = 5750.0000000000000 RHS = NaN grid col = 1 zm level = 41 height [m] = 5875.0000000000000 RHS = NaN grid col = 1 zt level = 41 height [m] = 6000.0000000000000 RHS = NaN grid col = 1 zm level = 42 height [m] = 6125.0000000000000 RHS = NaN grid col = 1 zt level = 42 height [m] = 6250.0000000000000 RHS = NaN grid col = 1 zm level = 43 height [m] = 6375.0000000000000 RHS = NaN grid col = 1 zt level = 43 height [m] = 6500.0000000000000 RHS = NaN grid col = 1 zm level = 44 height [m] = 6625.0000000000000 RHS = NaN grid col = 1 zt level = 44 height [m] = 6750.0000000000000 RHS = NaN grid col = 1 zm level = 45 height [m] = 6875.0000000000000 RHS = NaN grid col = 1 zt level = 45 height [m] = 7000.0000000000000 RHS = NaN grid col = 1 zm level = 46 height [m] = 7125.0000000000000 RHS = NaN grid col = 1 zt level = 46 height [m] = 7250.0000000000000 RHS = NaN grid col = 1 zm level = 47 height [m] = 7375.0000000000000 RHS = NaN grid col = 1 zt level = 47 height [m] = 7500.0000000000000 RHS = NaN grid col = 1 zm level = 48 height [m] = 7625.0000000000000 RHS = NaN grid col = 1 zt level = 48 height [m] = 7750.0000000000000 RHS = NaN grid col = 1 zm level = 49 height [m] = 7875.0000000000000 RHS = NaN grid col = 1 zt level = 49 height [m] = 8000.0000000000000 RHS = NaN grid col = 1 zm level = 50 height [m] = 8125.0000000000000 RHS = NaN grid col = 1 zt level = 50 height [m] = 8250.0000000000000 RHS = NaN grid col = 1 zm level = 51 height [m] = 8375.0000000000000 RHS = NaN grid col = 1 zt level = 51 height [m] = 8500.0000000000000 RHS = NaN grid col = 1 zm level = 52 height [m] = 8625.0000000000000 RHS = NaN grid col = 1 zt level = 52 height [m] = 8750.0000000000000 RHS = NaN grid col = 1 zm level = 53 height [m] = 8875.0000000000000 RHS = NaN grid col = 1 zt level = 53 height [m] = 9000.0000000000000 RHS = NaN grid col = 1 zm level = 54 height [m] = 9125.0000000000000 RHS = NaN grid col = 1 zt level = 54 height [m] = 9250.0000000000000 RHS = NaN grid col = 1 zm level = 55 height [m] = 9375.0000000000000 RHS = NaN grid col = 1 zt level = 55 height [m] = 9500.0000000000000 RHS = NaN grid col = 1 zm level = 56 height [m] = 9625.0000000000000 RHS = NaN grid col = 1 zt level = 56 height [m] = 9750.0000000000000 RHS = NaN grid col = 1 zm level = 57 height [m] = 9875.0000000000000 RHS = NaN grid col = 1 zt level = 57 height [m] = 10000.000000000000 RHS = NaN grid col = 1 zm level = 58 height [m] = 10125.000000000000 RHS = NaN grid col = 1 zt level = 58 height [m] = 10250.000000000000 RHS = NaN grid col = 1 zm level = 59 height [m] = 10375.000000000000 RHS = NaN grid col = 1 zt level = 59 height [m] = 10500.000000000000 RHS = NaN grid col = 1 zm level = 60 height [m] = 10625.000000000000 RHS = NaN grid col = 1 zt level = 60 height [m] = 10750.000000000000 RHS = NaN grid col = 1 zm level = 61 height [m] = 10875.000000000000 RHS = NaN grid col = 1 zt level = 61 height [m] = 11000.000000000000 RHS = NaN grid col = 1 zm level = 62 height [m] = 11125.000000000000 RHS = NaN grid col = 1 zt level = 62 height [m] = 11250.000000000000 RHS = NaN grid col = 1 zm level = 63 height [m] = 11375.000000000000 RHS = NaN grid col = 1 zt level = 63 height [m] = 11500.000000000000 RHS = NaN grid col = 1 zm level = 64 height [m] = 11625.000000000000 RHS = NaN grid col = 1 zt level = 64 height [m] = 11750.000000000000 RHS = NaN grid col = 1 zm level = 65 height [m] = 11875.000000000000 RHS = NaN grid col = 1 zt level = 65 height [m] = 12000.000000000000 RHS = NaN grid col = 1 zm level = 66 height [m] = 12125.000000000000 RHS = NaN grid col = 1 zt level = 66 height [m] = 12250.000000000000 RHS = NaN grid col = 1 zm level = 67 height [m] = 12375.000000000000 RHS = NaN grid col = 1 zt level = 67 height [m] = 12500.000000000000 RHS = NaN grid col = 1 zm level = 68 height [m] = 12625.000000000000 RHS = NaN grid col = 1 zt level = 68 height [m] = 12750.000000000000 RHS = NaN grid col = 1 zm level = 69 height [m] = 12875.000000000000 RHS = NaN grid col = 1 zt level = 69 height [m] = 13000.000000000000 RHS = NaN grid col = 1 zm level = 70 height [m] = 13125.000000000000 RHS = NaN grid col = 1 zt level = 70 height [m] = 13250.000000000000 RHS = NaN grid col = 1 zm level = 71 height [m] = 13375.000000000000 RHS = NaN grid col = 1 zt level = 71 height [m] = 13500.000000000000 RHS = NaN grid col = 1 zm level = 72 height [m] = 13625.000000000000 RHS = NaN grid col = 1 zt level = 72 height [m] = 13750.000000000000 RHS = NaN grid col = 1 zm level = 73 height [m] = 13875.000000000000 RHS = NaN grid col = 1 zt level = 73 height [m] = 14000.000000000000 RHS = NaN grid col = 1 zm level = 74 height [m] = 14125.000000000000 RHS = NaN grid col = 1 zt level = 74 height [m] = 14250.000000000000 RHS = NaN grid col = 1 zm level = 75 height [m] = 14375.000000000000 RHS = NaN grid col = 1 zt level = 75 height [m] = 14500.000000000000 RHS = NaN grid col = 1 zm level = 76 height [m] = 14625.000000000000 RHS = NaN grid col = 1 zt level = 76 height [m] = 14750.000000000000 RHS = NaN grid col = 1 zm level = 77 height [m] = 14875.000000000000 RHS = NaN grid col = 1 zt level = 77 height [m] = 15000.000000000000 RHS = NaN grid col = 1 zm level = 78 height [m] = 15125.000000000000 RHS = NaN grid col = 1 zt level = 78 height [m] = 15250.000000000000 RHS = NaN grid col = 1 zm level = 79 height [m] = 15375.000000000000 RHS = NaN grid col = 1 zt level = 79 height [m] = 15500.000000000000 RHS = NaN grid col = 1 zm level = 80 height [m] = 15625.000000000000 RHS = NaN grid col = 1 zt level = 80 height [m] = 15750.000000000000 RHS = NaN grid col = 1 zm level = 81 height [m] = 15875.000000000000 RHS = NaN grid col = 1 zt level = 81 height [m] = 16000.000000000000 RHS = NaN grid col = 1 zm level = 82 height [m] = 16125.000000000000 RHS = NaN grid col = 1 zt level = 82 height [m] = 16250.000000000000 RHS = NaN grid col = 1 zm level = 83 height [m] = 16375.000000000000 RHS = NaN grid col = 1 zt level = 83 height [m] = 16500.000000000000 RHS = NaN grid col = 1 zm level = 84 height [m] = 16625.000000000000 RHS = NaN grid col = 1 zt level = 84 height [m] = 16750.000000000000 RHS = NaN grid col = 1 zm level = 85 height [m] = 16875.000000000000 RHS = NaN grid col = 1 zt level = 85 height [m] = 17000.000000000000 RHS = NaN grid col = 1 zm level = 86 height [m] = 17125.000000000000 RHS = NaN grid col = 1 zt level = 86 height [m] = 17250.000000000000 RHS = NaN grid col = 1 zm level = 87 height [m] = 17375.000000000000 RHS = NaN grid col = 1 zt level = 87 height [m] = 17500.000000000000 RHS = NaN grid col = 1 zm level = 88 height [m] = 17625.000000000000 RHS = NaN grid col = 1 zt level = 88 height [m] = 17750.000000000000 RHS = NaN grid col = 1 zm level = 89 height [m] = 17875.000000000000 RHS = NaN grid col = 1 zt level = 89 height [m] = 18000.000000000000 RHS = NaN grid col = 1 zm level = 90 height [m] = 18125.000000000000 RHS = NaN grid col = 1 zt level = 90 height [m] = 18250.000000000000 RHS = NaN grid col = 1 zm level = 91 height [m] = 18375.000000000000 RHS = NaN grid col = 1 zt level = 91 height [m] = 18500.000000000000 RHS = NaN grid col = 1 zm level = 92 height [m] = 18625.000000000000 RHS = NaN grid col = 1 zt level = 92 height [m] = 18750.000000000000 RHS = NaN grid col = 1 zm level = 93 height [m] = 18875.000000000000 RHS = NaN grid col = 1 zt level = 93 height [m] = 19000.000000000000 RHS = NaN grid col = 1 zm level = 94 height [m] = 19125.000000000000 RHS = NaN grid col = 1 zt level = 94 height [m] = 19250.000000000000 RHS = NaN grid col = 1 zm level = 95 height [m] = 19375.000000000000 RHS = NaN grid col = 1 zt level = 95 height [m] = 19500.000000000000 RHS = NaN grid col = 1 zm level = 96 height [m] = 19625.000000000000 RHS = NaN grid col = 1 zt level = 96 height [m] = 19750.000000000000 RHS = NaN grid col = 1 zm level = 97 height [m] = 19875.000000000000 RHS = NaN grid col = 1 zt level = 97 height [m] = 20000.000000000000 RHS = NaN grid col = 1 zm level = 98 height [m] = 20125.000000000000 RHS = NaN grid col = 1 zt level = 98 height [m] = 20250.000000000000 RHS = NaN grid col = 1 zm level = 99 height [m] = 20375.000000000000 RHS = NaN grid col = 1 zt level = 99 height [m] = 20500.000000000000 RHS = NaN grid col = 1 zm level = 100 height [m] = 20625.000000000000 RHS = NaN grid col = 1 zt level = 100 height [m] = 20750.000000000000 RHS = NaN grid col = 1 zm level = 101 height [m] = 20875.000000000000 RHS = NaN grid col = 1 zt level = 101 height [m] = 21000.000000000000 RHS = NaN grid col = 1 zm level = 102 height [m] = 21125.000000000000 RHS = NaN grid col = 1 zt level = 102 height [m] = 21250.000000000000 RHS = NaN grid col = 1 zm level = 103 height [m] = 21375.000000000000 RHS = NaN grid col = 1 zt level = 103 height [m] = 21500.000000000000 RHS = NaN grid col = 1 zm level = 104 height [m] = 21625.000000000000 RHS = NaN grid col = 1 zt level = 104 height [m] = 21750.000000000000 RHS = NaN grid col = 1 zm level = 105 height [m] = 21875.000000000000 RHS = NaN grid col = 1 zt level = 105 height [m] = 22000.000000000000 RHS = NaN grid col = 1 zm level = 106 height [m] = 22125.000000000000 RHS = NaN grid col = 1 zt level = 106 height [m] = 22250.000000000000 RHS = NaN grid col = 1 zm level = 107 height [m] = 22375.000000000000 RHS = NaN grid col = 1 zt level = 107 height [m] = 22500.000000000000 RHS = NaN grid col = 1 zm level = 108 height [m] = 22625.000000000000 RHS = NaN grid col = 1 zt level = 108 height [m] = 22750.000000000000 RHS = NaN grid col = 1 zm level = 109 height [m] = 22875.000000000000 RHS = NaN grid col = 1 zt level = 109 height [m] = 23000.000000000000 RHS = NaN grid col = 1 zm level = 110 height [m] = 23125.000000000000 RHS = NaN grid col = 1 zt level = 110 height [m] = 23250.000000000000 RHS = NaN grid col = 1 zm level = 111 height [m] = 23375.000000000000 RHS = NaN grid col = 1 zt level = 111 height [m] = 23500.000000000000 RHS = NaN grid col = 1 zm level = 112 height [m] = 23625.000000000000 RHS = NaN grid col = 1 zt level = 112 height [m] = 23750.000000000000 RHS = NaN grid col = 1 zm level = 113 height [m] = 23875.000000000000 RHS = NaN grid col = 1 zt level = 113 height [m] = 24000.000000000000 RHS = NaN grid col = 1 zm level = 114 height [m] = 24125.000000000000 RHS = NaN grid col = 1 zt level = 114 height [m] = 24250.000000000000 RHS = NaN grid col = 1 zm level = 115 height [m] = 24375.000000000000 RHS = NaN grid col = 1 zt level = 115 height [m] = 24500.000000000000 RHS = NaN grid col = 1 zm level = 116 height [m] = 24625.000000000000 RHS = NaN grid col = 1 zt level = 116 height [m] = 24750.000000000000 RHS = NaN grid col = 1 zm level = 117 height [m] = 24875.000000000000 RHS = NaN grid col = 1 zt level = 117 height [m] = 25000.000000000000 RHS = NaN grid col = 1 zm level = 118 height [m] = 25125.000000000000 RHS = NaN grid col = 1 zt level = 118 height [m] = 25250.000000000000 RHS = NaN grid col = 1 zm level = 119 height [m] = 25375.000000000000 RHS = NaN grid col = 1 zt level = 119 height [m] = 25500.000000000000 RHS = NaN grid col = 1 zm level = 120 height [m] = 25625.000000000000 RHS = NaN grid col = 1 zt level = 120 height [m] = 25750.000000000000 RHS = NaN grid col = 1 zm level = 121 height [m] = 25875.000000000000 RHS = NaN grid col = 1 zt level = 121 height [m] = 26000.000000000000 RHS = NaN grid col = 1 zm level = 122 height [m] = 26125.000000000000 RHS = NaN grid col = 1 zt level = 122 height [m] = 26250.000000000000 RHS = NaN grid col = 1 zm level = 123 height [m] = 26375.000000000000 RHS = NaN grid col = 1 zt level = 123 height [m] = 26500.000000000000 RHS = NaN grid col = 1 zm level = 124 height [m] = 26625.000000000000 RHS = NaN grid col = 1 zt level = 124 height [m] = 26750.000000000000 RHS = NaN grid col = 1 zm level = 125 height [m] = 26875.000000000000 RHS = NaN grid col = 1 zt level = 125 height [m] = 27000.000000000000 RHS = NaN grid col = 1 zm level = 126 height [m] = 27125.000000000000 RHS = NaN grid col = 1 zt level = 126 height [m] = 27250.000000000000 RHS = NaN grid col = 1 zm level = 127 height [m] = 27375.000000000000 RHS = NaN grid col = 1 zt level = 127 height [m] = 27500.000000000000 RHS = 0.0000000000000000 grid col = 1 zm level = 128 height [m] = 27625.000000000000 RHS = 4.0000000000000002E-004 Fatal error in CLUBB - MPI Process 1 / Chunk index 1 Column index not available. Latitude/Longitude for column 1: 15.00/-56.50 Latitude range from -90 to 90 degrees, Longitude range from -180 to 180 degrees Error in advance_wp2_wp3 intent(in) gr%zt(1,:) = 25.000000000000000 50.000000000000000 105.26315310000000 160.52630619999999 226.31575010000000 292.10519410000001 368.42095949999998 444.73672490000001 531.57879639999999 618.42089840000006 715.78930660000003 813.15771480000001 921.05249019999997 1028.9472659999999 1147.3684080000000 1265.7894289999999 1394.7368160000001 1523.6840820000000 1663.1577150000001 1802.6314700000000 1952.6315920000000 2102.6315920000002 2263.1579590000001 2423.6843260000001 2594.7368160000001 2765.7895509999998 2947.3686520000001 3128.9475100000000 3321.0527339999999 3513.1579590000001 3715.7895509999998 3918.4211430000000 4131.5791019999997 4344.7368159999996 4568.4208980000003 4792.1049800000001 5026.3154299999997 5260.5258789999998 5505.2626950000003 5750.0000000000000 6000.0000000000000 6250.0000000000000 6500.0000000000000 6750.0000000000000 7000.0000000000000 7250.0000000000000 7500.0000000000000 7750.0000000000000 8000.0000000000000 8250.0000000000000 8500.0000000000000 8750.0000000000000 9000.0000000000000 9250.0000000000000 9500.0000000000000 9750.0000000000000 10000.000000000000 10250.000000000000 10500.000000000000 10750.000000000000 11000.000000000000 11250.000000000000 11500.000000000000 11750.000000000000 12000.000000000000 12250.000000000000 12500.000000000000 12750.000000000000 13000.000000000000 13250.000000000000 13500.000000000000 13750.000000000000 14000.000000000000 14250.000000000000 14500.000000000000 14750.000000000000 15000.000000000000 15250.000000000000 15500.000000000000 15750.000000000000 16000.000000000000 16250.000000000000 16500.000000000000 16750.000000000000 17000.000000000000 17250.000000000000 17500.000000000000 17750.000000000000 18000.000000000000 18250.000000000000 18500.000000000000 18750.000000000000 19000.000000000000 19250.000000000000 19500.000000000000 19750.000000000000 20000.000000000000 20250.000000000000 20500.000000000000 20750.000000000000 21000.000000000000 21250.000000000000 21500.000000000000 21750.000000000000 22000.000000000000 22250.000000000000 22500.000000000000 22750.000000000000 23000.000000000000 23250.000000000000 23500.000000000000 23750.000000000000 24000.000000000000 24250.000000000000 24500.000000000000 24750.000000000000 25000.000000000000 25250.000000000000 25500.000000000000 25750.000000000000 26000.000000000000 26250.000000000000 26500.000000000000 26750.000000000000 27000.000000000000 27250.000000000000 27500.000000000000 dt = 60.000000000000000 sfc_elevation = 0.0000000000000000 sigma_sqd_w = 0.16666666666666666 0.20833333333333331 0.25000000000000000 0.25000000000000000 0.25000000000000000 0.25000000000000000 0.25000000000000000 0.25000000000000000 0.25000000000000000 0.25000000000000000 0.25000000000000000 0.25000000000000000 0.25000000000000000 0.25000000000000000 0.25000000000000000 0.25000000000000000 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1.4056801644172475E-002 1.3782139045242892E-002 1.3774081600452020E-002 1.4045790903117526E-002 1.4231574866843458E-002 1.4307590829575315E-002 1.4462507576118814E-002 1.4719369345335270E-002 1.4720236492707164E-002 1.4450504151289578E-002 1.4436675069937462E-002 1.4692196079467154E-002 1.4687967996008458E-002 1.4409689369734495E-002 1.4390453289949336E-002 1.4643353306545218E-002 1.4643212697602199E-002 1.4375858584284454E-002 1.4361372755264890E-002 1.4612772408128673E-002 1.4625529788986482E-002 1.4385511983423018E-002 1.4385381488869968E-002 1.4638466702931650E-002 1.4140604981742024E-002 1.2955684580543409E-002 1.2475238015062970E-002 1.2628563768224533E-002 1.2788866372056258E-002 1.2956671295238448E-002 1.3132638041355151E-002 1.3317340254060764E-002 1.3511486150861949E-002 2.6259709775910915E-002 0.37083893912921739 9.0836617762161329E-003 rho_ds_zm = 1.1065448859387175 1.1031893281060920 1.0996752411122139 1.0949045946690805 1.0897088701484370 1.0840778169556438 1.0780155337330963 1.0715264411563930 1.0645953218006847 1.0570111288704205 1.0487783462922486 1.0401234505092896 1.0310542949102648 1.0215410017010289 1.0114124409610967 1.0007263749096671 0.98965895364747891 0.97821018996969378 0.96621749615103880 0.95371622069657258 0.94088474352393847 0.92771696358327838 0.91418957102204734 0.90033924612750960 0.88621617030318256 0.87188617373631172 0.85736505077634984 0.84261410677635640 0.82759685615831091 0.81230232422026583 0.79679184399621850 0.78101226012142722 0.76483608631626865 0.74839499142344534 0.73178606676791058 0.71485702037804233 0.69769930639076239 0.68051685933663564 0.66335979441558457 0.64623676295029930 0.62930950845121747 0.61279496197247263 0.59686256067151666 0.58128222495747783 0.56610935295030218 0.55141939817715246 0.53710910730421146 0.52307864977528207 0.50938558908841969 0.49604553826886144 0.48298692058071757 0.47017750933785724 0.45754251714282679 0.44501085114125866 0.43266291756774927 0.42057441879073976 0.40874120538260206 0.39695444240192446 0.38515767709547583 0.37357051907833061 0.36227036079114816 0.35125096637627629 0.34045446268925189 0.32963205932759837 0.31886935612947237 0.30842051556432332 0.29827662994992959 0.28842906490418557 0.27886944987792706 0.26934516507775402 0.25955274326914068 0.24979815394042215 0.24042053088779794 0.23140374059713825 0.22273244417540211 0.21439205229643277 0.20636868305198788 0.19864912249770145 0.18803292090333593 0.17797432042314332 0.17103490961420065 0.16444085040968007 0.15817298655790088 0.15207883623345822 0.14615360556117585 0.14051910550792079 0.13515935300068282 0.12994818377715592 0.12488149184800024 0.12006521014107301 0.11548551389481880 0.11103279853264163 0.10670356224162106 0.10258840582020919 9.8675504456874508E-002 9.4871124324541256E-002 9.1172261991085551E-002 8.7606567966596618E-002 8.4172383682419971E-002 8.0840990275620153E-002 7.7609208165509772E-002 7.4542883524329057E-002 7.1632526561925258E-002 6.8808904358838130E-002 6.6069350931005341E-002 6.3470543236660029E-002 6.1004395365670282E-002 5.8611432570302373E-002 5.6289416439765212E-002 5.4085294703288614E-002 5.1992358322678740E-002 4.9961265030003636E-002 4.7990140552015718E-002 4.6116813159791575E-002 4.4335801546767167E-002 4.2607199064316877E-002 4.0929410733604309E-002 3.9390411355217106E-002 3.7980123865262012E-002 3.6610326761652781E-002 3.5280040686123428E-002 3.3988304405162970E-002 3.2734153968772099E-002 3.1516635375932994E-002 3.0334804991178813E-002 2.9187719792428377E-002 2.8074438443168950E-002 2.7000686710190642E-002 rho_ds_zt = 1.1043071679831451 1.1020721674460510 1.0972813883949351 1.0925308304720760 1.0868911996518700 1.0812687200410322 1.0747681084918006 1.0682905285650046 1.0609077600658781 1.0531244115360552 1.0444447002870809 1.0358145739855689 1.0263091496987078 1.0167885376516086 1.0060584102429475 0.99541625373773446 0.98392745022961137 0.97251876060859632 0.95995004071343415 0.94751587437349094 0.93429193171184510 0.92118014615761323 0.90724268732183633 0.89347900006908110 0.87900181164794944 0.86481597760327011 0.84996451871228873 0.83531352224238931 0.81993637709185452 0.80472444958969325 0.78892095140508522 0.77316727829849741 0.75657884843836087 0.74028392790451081 0.72336932507987595 0.70643076398118843 0.68906036739767840 0.67206388189097266 0.65475108008212168 0.63781591146030459 0.62089866441438579 0.60477613774508343 0.58903149782291520 0.57361402419697816 0.55868078995999670 0.54422901269679091 0.53005915936050163 0.51616706297807791 0.50266933989065687 0.48948487112035322 0.47655127108202672 0.46386522432793681 0.45128341945696282 0.43880419327603482 0.42658649959788825 0.41462615838109840 0.40291905055600408 0.39106086825343644 0.37932782790088432 0.36788495798026527 0.35672595241691124 0.34584464469327514 0.33513397021182501 0.32421090722677576 0.31360626626692045 0.30331099932984384 0.29331633659049866 0.28361377674319144 0.27419507772101848 0.26457667108001404 0.25462728714058996 0.24506324914697911 0.23586800840926503 0.22702583454592512 0.21852176889242111 0.21034158092701802 0.20247172749447592 0.19489931462595081 0.18153064743170108 0.17449356524787410 0.16765150749598223 0.16129537152187898 0.15511536611200341 0.14910672246440596 0.14326462788992916 0.13782938387525417 0.13254477160349035 0.12740674888580417 0.12241115395493005 0.11776693942071087 0.11325146048226027 0.10886125471495861 0.10459278680750170 0.10062474476580217 9.6766725715361337E-002 9.3015766388500815E-002 8.9368828653252588E-002 8.5882248687226284E-002 8.2500060068242884E-002 7.9219102208683251E-002 7.6036180856204338E-002 7.3081615282665546E-002 7.0215131528781616E-002 6.7434069415143461E-002 6.4735760093331415E-002 6.2232317937813503E-002 5.9803181736478479E-002 5.7446137394060910E-002 5.5158925869876856E-002 5.3034476272013693E-002 5.0972815595775316E-002 4.8972075538885371E-002 4.7030377993353432E-002 4.5222662631035325E-002 4.3468157306113961E-002 4.1765280120117612E-002 4.0112425356974277E-002 3.8681541017779458E-002 3.7291649448185665E-002 3.5941753045278343E-002 3.4630890155531495E-002 3.3358100455388298E-002 3.2122417136303906E-002 3.0922898814662769E-002 2.9758600326758710E-002 2.8628581290499187E-002 2.7531900142346188E-002 invrs_rho_ds_zm = 0.90371390506374982 0.90646272087925017 0.90935938412926154 0.91332158515805284 0.91767629629717784 0.92244300580584249 0.92763041784478406 0.93324808571293727 0.93932406006497715 0.94606383290273810 0.95349031903195280 0.96142433814981920 0.96988102851269586 0.97891322848014939 0.98871633321985630 0.99927415232787020 1.0104491009902030 1.0222751820147993 1.0349636639613078 1.0485299277699427 1.0628294346177349 1.0779149667992818 1.0938650272306412 1.1106924465429513 1.1283928611434511 1.1469387061325671 1.1663643148207328 1.1867828843095982 1.2083177848717082 1.2310687415057029 1.2550329267737157 1.2803896315846897 1.3074696891151765 1.3361928012078255 1.3665195955652907 1.3988811349592170 1.4332822045833127 1.4694713088736624 1.5074775535363778 1.5474204770317406 1.5890432077867096 1.6318672020102558 1.6754275873409155 1.7203347308154011 1.7664431700138126 1.8135016709708383 1.8618191097504762 1.9117583950895460 1.9631493733255554 2.0159439463761295 2.0704494415659407 2.1268563045652322 2.1855892349515562 2.2471362157471808 2.3112681013237362 2.3777004861000788 2.4465358198079157 2.5191807753784490 2.5963392643270935 2.6768707618234702 2.7603693490578110 2.8469672562516277 2.9372503802740426 3.0336855038913844 3.1360805946933459 3.2423264651194801 3.3525925251598347 3.4670569706010528 3.5859073141132609 3.7127081888079259 3.8527814709438837 4.0032321465374157 4.1593785535175067 4.3214513188918042 4.4896916733536072 4.6643520097346389 4.8456964749253277 5.0340015975231447 5.3182176567585238 5.6187881354031717 5.8467596016256334 6.0812139897637838 6.3221920617522098 6.5755369041941307 6.8421165263790069 7.1164700087251260 7.3986740673059304 7.6953749635690851 8.0075917191728614 8.3288073108357548 8.6590946888003106 9.0063477928642701 9.3717583461326797 9.7476902190345474 10.134227390112240 10.540615040875194 10.968248216741358 11.414669278920829 11.880381144639694 12.369962275209508 12.885068971034920 13.415096823744729 13.960138612945821 14.533002804186570 15.135611080004045 15.755340178377562 16.392261475682812 17.061517798605841 17.765328959664927 18.489314063757810 19.233595710233562 20.015506000487818 20.837613486797700 21.684065560537952 22.555135243132128 23.470212122849691 24.432308750024813 25.386888981233092 26.329561313375176 27.314697476217084 28.344638513790784 29.421885483881205 30.549132290206288 31.729275288174595 32.965433609703254 34.260983972424292 35.619590469255463 37.036095071707138 invrs_rho_ds_zt = 0.90554514992993584 0.90738159399978890 0.91134326215335260 0.91530597774335209 0.92005529193749924 0.92483947927583787 0.93043326471910193 0.93607494708697192 0.94258901446616250 0.94955542673389415 0.95744657397862742 0.96542375934356395 0.97436527803885276 0.98348866354219167 0.99397807306090258 1.0046048537434000 1.0163350964206130 1.0282577987227786 1.0417208787832342 1.0553912889968331 1.0703292686770420 1.0855639954586047 1.1022409041972898 1.1192204852298522 1.1376540830162836 1.1563153617621353 1.1765196993340590 1.1971552876523677 1.2196068230888768 1.2426613861550651 1.2675541170746936 1.2933811712786027 1.3217393032650593 1.3508330551369068 1.3824196925817638 1.4155668906098617 1.4512516570596325 1.4879537897295121 1.5272979769267059 1.5678505067558768 1.6105687728337634 1.6535043921020338 1.6977020816306791 1.7433325508384041 1.7899308835580388 1.8374617608950132 1.8865818698548027 1.9373572467611537 1.9893793407362481 2.0429640607914168 2.0984100991472840 2.1557985974241394 2.2159023728443588 2.2789207927439712 2.3441904536187304 2.4118111696196038 2.4818881078471224 2.5571466776162475 2.6362421273803642 2.7182410650604631 2.8032723529777956 2.8914716921144934 2.9838813396563153 3.0844119605776563 3.1887117942626428 3.2969460461686806 3.4092884549969957 3.5259218063496505 3.6470384819141661 3.7796227305981076 3.9273088569170507 4.0805792116150394 4.2396593193972105 4.4047850413152414 4.5762031172844058 4.7541717409976529 4.9389611694170155 5.1308543691864283 5.5087116922019410 5.7308703537546828 5.9647540003418404 6.1998059247741937 6.4468145552899951 6.7066057349541381 6.9800900245125712 7.2553469505825712 7.5446204923987104 7.8488777772385445 8.1691902060508728 8.4913474436794001 8.8299082037590164 9.1860047233369819 9.5608887622475809 9.9379134061650323 10.334130793486732 10.750865566416772 11.189583829949918 11.643849751092221 12.121203295765048 12.623218038570366 13.151633718836404 13.683331931460375 14.241944410373907 14.829299324110389 15.447412659684092 16.068821363833237 16.721518336707902 17.407610770073905 18.129432077032440 18.855659003230326 19.618300231444959 20.419800243221641 21.262852706421477 22.112806761486926 23.005346027386032 23.943332766450602 24.929931089946717 25.852124131775497 26.815654839548873 27.822794251026931 28.875954256702027 29.977726139932859 31.130907607504618 32.338494718542627 33.603730989350581 34.930127687880386 36.321503231879113 thv_ds_zm = 303.43619811507244 303.43619811507244 303.44554546868500 303.46610014484230 303.49064194100924 303.51729691632096 303.54605984321705 303.57692506425462 303.61471885396043 303.71228300334468 303.87175816512490 304.04028113520729 304.21784108526174 304.41878233914753 304.71231252264386 305.08398834654639 305.47196022853626 305.88033949348147 306.37326933594881 306.94649866896555 307.54093685265201 308.15593146387874 308.79032117404614 309.44472878953570 310.12015753387607 310.76035446947469 311.35639723951101 311.96454703817466 312.59763091955909 313.26051026759797 313.94631126160476 314.67947739525243 315.50600545734937 316.39662837669925 317.33500019815983 318.39440844899929 319.55359814756605 320.73695552948868 321.92383091269562 323.11654724804174 324.32193269671734 325.43054656725627 326.41837373727355 327.39485074997862 328.31778986744848 329.12663365969507 329.87480398689445 330.62289665118408 331.32338383547960 331.95435389329259 332.56335295878688 333.17232137054128 333.83121772767635 334.59521465539876 335.41435991424356 336.23348569313833 337.05259199122020 338.04502939129628 339.28082499561492 340.58663153211000 341.89242527114578 343.19820621248743 344.55647768651988 346.23052109295332 348.16783824582956 350.10514986310483 352.04245594474958 353.97975649073402 355.91705150102860 358.18130123010769 361.24179118409148 364.77156380552583 368.30133497819367 371.83110470209408 375.36087297722594 378.89063980358793 382.42040518117909 385.95016910999828 396.13205520557096 406.87214700678709 411.64341852956710 416.28621535131231 420.78415246383923 425.50949494872583 430.48356284101385 435.33498985638596 440.04790594713819 444.99957239739581 450.21240424155530 455.29097776496758 460.21800849084633 465.39453536821628 470.84394849434597 476.15229999769917 481.30146490506667 486.71114622161741 492.40581906647208 498.23736239991359 504.19270191404848 510.43227908949768 516.98251413718538 523.38477579047901 529.61853426958100 536.14881122354711 543.00300692707049 549.69403306519428 556.19972510369291 563.01271192392824 570.16122390061128 577.14813476613767 583.95136966355142 591.07473543902859 598.54740255268234 605.87655753094202 613.04192615040051 620.54602284310397 628.41985324255415 635.24086055842690 640.90814013344345 646.76597228211347 652.82690215789069 659.10451493203027 665.61396078939242 672.37190492934724 679.39669257578703 686.70878397612000 694.33101940669314 702.11436267950046 thv_ds_zt = 303.43619811507244 303.43619811507244 303.45489015944810 303.47730629433005 303.50397214879081 303.53061624220493 303.56149611794996 303.59234667998095 303.63708111135162 303.78747160648243 303.95602800954657 304.12451753756437 304.31114408656549 304.52639633208952 304.89817659798513 305.26974793651192 305.67411062320770 306.08650497592942 306.65993383458755 307.23296353473086 307.84879441408083 308.46296229190369 309.11757669052110 309.77177741924362 310.46842004302573 311.05222962176470 311.66050318749438 312.26852917786067 312.92667377104976 313.59429435452432 314.29826982602617 315.06063531300282 315.95133665121745 316.84188113955196 317.82807677705347 318.96070014042863 320.14645231120568 321.32741584099892 322.52020765271720 323.71284850252391 324.93097687390747 325.93007758133569 326.90663146197670 327.88303159581096 328.75251937707685 329.50072853024386 330.24886002781767 330.99691385516383 331.64984286627924 332.25885725758002 332.86784099655881 333.47679408037965 334.18563472126442 335.00478971976105 335.82392523873864 336.64304127733476 337.46213783468693 338.62791692839352 339.93372986353023 341.23953000132497 342.54531734154301 343.85109188394961 345.26186044067407 347.19918036133970 349.13649474641915 351.07380359588285 353.01110690970120 354.94840468784440 356.88569693028290 359.47690433008717 363.00667767590431 366.53644957295558 370.06622002123993 373.59598902075612 377.12575657150319 380.65552267347994 384.18528732668523 387.71505053111804 404.54905383778606 409.19524016713370 414.09159688287986 418.48083381737325 423.08747110781638 427.93151878701769 433.03560689225202 437.63437281105900 442.46143907328639 447.53770571106168 452.88710276104342 457.69485293793338 462.74116422118965 468.04790670182928 473.63999048348234 478.66460971907748 483.93832030848722 489.48397236339122 495.32766601048519 501.14705925389831 507.23834506046012 513.62621362847392 520.33881518175826 526.43073700139450 532.80633216800402 539.49129093990825 546.51472360851074 552.87334336261961 559.52610772440096 566.49931704546066 573.82313172412864 580.47313881297748 587.42960156526294 594.71987041437524 602.37493584769493 609.37818061017379 616.70567315125072 624.38637406599105 632.45333402715164 638.02838735689841 643.78789318602492 649.74405166366489 655.90975294761813 662.29927722271361 668.92864467383288 675.81516551495542 682.97821997996652 690.43934832990715 698.22269085655751 Cx_fnc_Richardson = 0.33000000000000002 0.33000000000000002 0.36759709092487358 0.37519353743959316 0.37519353743960826 0.37519353743960454 0.37519353743960998 0.37519353743964767 0.38040196964200240 0.43736861655588138 0.43736861655588199 0.43736861655588199 0.43736861655587284 0.45190657955335001 0.51451167159688371 0.51451167159690203 0.51451167159687572 0.51792563787072121 0.56660839885090575 0.56660839885087788 0.56660839885090730 0.56422191767721375 0.56009633188879504 0.56009633188877717 0.56009633188877950 0.51784500677953749 0.51387344647736455 0.51387344647736444 0.51572170250308047 0.51690574084526952 0.51690574084525687 0.52940532276915353 0.54742698950508539 0.54742698950506474 0.55882068416980102 0.59103889580033375 0.59103889580031854 0.58995565754299628 0.58072392723903121 0.58072392723903044 0.58072392723903388 0.53702009679408103 0.53254866131178336 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0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 Fatal error in CLUBB - MPI Process 1 / Chunk index 1 Column index not available. Latitude/Longitude for column 1: 15.00/-56.50 Latitude range from -90 to 90 degrees, Longitude range from -180 to 180 degrees Error calling advance_wp2_wp3 in advance_clubb_core Fatal error in CLUBB - MPI Process 1 / Chunk index 1 Column index not available. Latitude/Longitude for column 1: 15.00/-56.50 Latitude range from -90 to 90 degrees, Longitude range from -180 to 180 degrees Fatal error advance_clubb_core in API module Fatal error in CLUBB - MPI Process 1 / Chunk index 1 Column index not available. Latitude/Longitude for column 1: 15.00/-56.50 Latitude range from -90 to 90 degrees, Longitude range from -180 to 180 degrees Fatal error in advance_clubb_core, check your parameter values and timestep Writing timing results to: /home/jenkins/workspace/clubb_error_handling_gfortran_test/output/arm_97.timing Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG ERROR STOP Fatal error in clubb, check your parameter values and timestep Error termination. Backtrace: #0 0x403920 in ??? #1 0x4036de in ??? #2 0x739ace029d8f in __libc_start_call_main at ../sysdeps/nptl/libc_start_call_main.h:58 #3 0x739ace029e3f in __libc_start_main_impl at ../csu/libc-start.c:392 #4 0x403704 in ??? #5 0xffffffffffffffff in ??? -------------------------------------------------- run_scm.py total runtime: 0.95 s -------------------------------------------------- -- Compiling with double precision -- SUCCESS: netcdf-fortran found. -- -> Library : /usr/local/spack/opt/spack/linux-pop22-skylake_avx512/gcc-13.1.0/netcdf-fortran-4.5.3-rr4amopxiouymfpd5tw5ducrmg4u7a6i/lib/libnetcdff.so -- -> Modules : /usr/local/spack/opt/spack/linux-pop22-skylake_avx512/gcc-13.1.0/netcdf-fortran-4.5.3-rr4amopxiouymfpd5tw5ducrmg4u7a6i/include -- Configuring done -- Generating done -- Build files have been written to: /home/jenkins/workspace/clubb_error_handling_gfortran_test/build/gcc_PRECdouble Using inferred toolchain file: /home/jenkins/workspace/clubb_error_handling_gfortran_test/cmake/toolchains/linux_x86_64_gcc.cmake Setting CLUBB installation dir: /home/jenkins/workspace/clubb_error_handling_gfortran_test/build/gcc_PRECdouble Setting CLUBB installation dir: /home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble about to cmnake /home/jenkins/workspace/clubb_error_handling_gfortran_test/build/gcc_PRECdouble Running CMake configure... Scanning dependencies of target clubb_lapack_shared Scanning dependencies of target scm_activation_lib [ 1%] Built target scm_activation_lib [ 1%] Built target clubb_lapack_shared Scanning dependencies of target clubb_lapack_double Scanning dependencies of target clubb_lapack_single [ 19%] Built target clubb_lapack_double [ 36%] Built target clubb_lapack_single [ 36%] Built target lapack_lib Scanning dependencies of target clubb_core_lib [ 37%] Building Fortran object src/CLUBB_core/CMakeFiles/clubb_core_lib.dir/advance_clubb_core_module.F90.o [ 37%] Linking Fortran static library libclubb_core_lib.a [ 51%] Built target clubb_core_lib Scanning dependencies of target coamps_lib Scanning dependencies of target bugsrad_lib Scanning dependencies of target text_writer_lib Scanning dependencies of target microphys_utils_lib [ 53%] Built target text_writer_lib [ 57%] Built target bugsrad_lib [ 67%] Built target coamps_lib [ 67%] Built target microphys_utils_lib Scanning dependencies of target morrison_microphys_lib Scanning dependencies of target KK_microphys_lib [ 67%] Built target morrison_microphys_lib [ 71%] Built target KK_microphys_lib Scanning dependencies of target silhs_lib [ 74%] Built target silhs_lib Scanning dependencies of target radiation_lib Scanning dependencies of target numerical_recipes_lib [ 76%] Built target radiation_lib [ 79%] Built target numerical_recipes_lib Scanning dependencies of target input_fields_lib [ 82%] Built target input_fields_lib Scanning dependencies of target microphys_lib Scanning dependencies of target G_unit_test_lib Scanning dependencies of target benchmark_cases_lib [ 85%] Built target G_unit_test_lib [ 92%] Built target benchmark_cases_lib [ 96%] Built target microphys_lib Scanning dependencies of target G_unit_tests [ 96%] Linking Fortran executable G_unit_tests Scanning dependencies of target clubb_driver_lib [ 97%] Built target clubb_driver_lib Scanning dependencies of target clubb_standalone Scanning dependencies of target clubb_standalone_loss Scanning dependencies of target clubb_tuner Scanning dependencies of target clubb_driver_test Scanning dependencies of target clubb_thread_test [ 97%] Linking Fortran executable clubb_standalone Scanning dependencies of target clubb_loss_driver_test [ 97%] Linking Fortran executable clubb_standalone_loss [ 97%] Linking Fortran executable clubb_tuner [ 97%] Linking Fortran executable clubb_driver_test [ 97%] Linking Fortran executable clubb_thread_test [ 97%] Linking Fortran executable clubb_loss_driver_test [ 97%] Built target clubb_thread_test [ 97%] Built target G_unit_tests [ 98%] Built target clubb_standalone_loss [ 98%] Built target clubb_standalone [ 98%] Built target clubb_driver_test [ 99%] Built target clubb_loss_driver_test [100%] Built target clubb_tuner Install the project... -- Install configuration: "Release" -- Up-to-date: /home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/libclubb_driver_lib.a -- Installing: /home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/clubb_tuner -- Set runtime path of "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/clubb_tuner" to "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib64:/usr/local/spack/opt/spack/linux-pop22-skylake_avx512/gcc-13.1.0/netcdf-fortran-4.5.3-rr4amopxiouymfpd5tw5ducrmg4u7a6i/lib" -- Installing: /home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/G_unit_tests -- Set runtime path of "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/G_unit_tests" to "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib64:/usr/local/spack/opt/spack/linux-pop22-skylake_avx512/gcc-13.1.0/netcdf-fortran-4.5.3-rr4amopxiouymfpd5tw5ducrmg4u7a6i/lib" -- Installing: /home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/clubb_thread_test -- Set runtime path of "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/clubb_thread_test" to "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib64:/usr/local/spack/opt/spack/linux-pop22-skylake_avx512/gcc-13.1.0/netcdf-fortran-4.5.3-rr4amopxiouymfpd5tw5ducrmg4u7a6i/lib" -- Installing: /home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/clubb_standalone -- Set runtime path of "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/clubb_standalone" to "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib64:/usr/local/spack/opt/spack/linux-pop22-skylake_avx512/gcc-13.1.0/netcdf-fortran-4.5.3-rr4amopxiouymfpd5tw5ducrmg4u7a6i/lib" -- Installing: /home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/clubb_driver_test -- Set runtime path of "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/clubb_driver_test" to "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib64:/usr/local/spack/opt/spack/linux-pop22-skylake_avx512/gcc-13.1.0/netcdf-fortran-4.5.3-rr4amopxiouymfpd5tw5ducrmg4u7a6i/lib" -- Installing: /home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/clubb_standalone_loss -- Set runtime path of "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/clubb_standalone_loss" to "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib64:/usr/local/spack/opt/spack/linux-pop22-skylake_avx512/gcc-13.1.0/netcdf-fortran-4.5.3-rr4amopxiouymfpd5tw5ducrmg4u7a6i/lib" -- Installing: /home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/clubb_loss_driver_test -- Set runtime path of "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/clubb_loss_driver_test" to "/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib:/home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble/lib64:/usr/local/spack/opt/spack/linux-pop22-skylake_avx512/gcc-13.1.0/netcdf-fortran-4.5.3-rr4amopxiouymfpd5tw5ducrmg4u7a6i/lib" CLUBBStandardsCheck.py: beginning check on src PASS: 0 checks failed for src CLUBBStandardsCheck.py: beginning check on src/CLUBB_core PASS: 0 checks failed for src/CLUBB_core CLUBBStandardsCheck.py: beginning check on src/SILHS PASS: 0 checks failed for src/SILHS CLUBBStandardsCheck.py: beginning check on src/Benchmark_cases PASS: 0 checks failed for src/Benchmark_cases CLUBBStandardsCheck.py: beginning check on src/Radiation PASS: 0 checks failed for src/Radiation CLUBBStandardsCheck.py: beginning check on src/Microphys PASS: 0 checks failed for src/Microphys CLUBBStandardsCheck.py: beginning check on src/Microphys/KK_microphys PASS: 0 checks failed for src/Microphys/KK_microphys CLUBBStandardsCheck.py: beginning check on src/G_unit_test_types PASS: 0 checks failed for src/G_unit_test_types [92mBuild completed successfully, and all source code checks passed.[0m /home/jenkins/workspace/clubb_error_handling_gfortran_test/output/arm_97.in - using install dir (latest): /home/jenkins/workspace/clubb_error_handling_gfortran_test/install/gcc_PRECdouble - using executable: /home/jenkins/workspace/clubb_error_handling_gfortran_test/run_scripts/../install/latest/clubb_standalone =================== Running arm_97 =================== 2026/07/26 03:03:44 -------------------------------------------------- Latest git log entry -------------------------------------------------- A detailed git diff can be found at the end of this file -------------------------------------------------- Tunable Parameters: -------------------------------------------------- Parameter Value --------- ----- C1 = 1.00000000000000000000 C1b = 1.00000000000000000000 C1c = 1.00000000000000000000 C2rt = 2.00000000000000000000 C2thl = 2.00000000000000000000 C2rtthl = 2.00000000000000000000 C4 = 2.00000000000000000000 C_uu_shr = 0.40000000000000002220 C_uu_buoy = 0.29999999999999998890 C6rt = 2.00000000000000000000 C6rtb = 2.00000000000000000000 C6rtc = 1.00000000000000000000 C6thl = 2.00000000000000000000 C6thlb = 2.00000000000000000000 C6thlc = 1.00000000000000000000 C7 = 0.50000000000000000000 C7b = 0.50000000000000000000 C7c = 0.50000000000000000000 C8 = 0.50000000000000000000 C8b = 0.02000000000000000042 C10 = 3.29999999999999982236 C11 = 0.40000000000000002220 C11b = 0.40000000000000002220 C11c = 0.50000000000000000000 C12 = 1.00000000000000000000 C13 = 0.10000000000000000555 C14 = 1.00000000000000000000 C_wp2_pr_dfsn = 0.00000000000000000000 C_wp3_pr_tp = 0.00000000000000000000 C_wp3_pr_turb = 1.00000000000000000000 C_wp3_pr_dfsn = 0.00000000000000000000 C_wp2_splat = 0.00000000000000000000 C6rt_Lscale0 = 14.00000000000000000000 C6thl_Lscale0 = 14.00000000000000000000 C7_Lscale0 = 0.84999999999999997780 wpxp_L_thresh = 60.00000000000000000000 c_K = 0.20000000000000001110 c_K1 = 0.20000000000000001110 nu1 = 20.00000000000000000000 c_K2 = 0.02500000000000000139 nu2 = 1.00000000000000000000 c_K6 = 0.37500000000000000000 nu6 = 5.00000000000000000000 c_K8 = 5.00000000000000000000 nu8 = 20.00000000000000000000 c_K9 = 0.10000000000000000555 nu9 = 10.00000000000000000000 nu10 = 0.00000000000000000000 c_K_hm = 0.75000000000000000000 c_K_hmb = 0.75000000000000000000 K_hm_min_coef = 0.10000000000000000555 nu_hm = 1.50000000000000000000 slope_coef_spread_DG_means_w = 21.00000000000000000000 pdf_component_stdev_factor_w = 1.00000000000000000000 coef_spread_DG_means_rt = 0.80000000000000004441 coef_spread_DG_means_thl = 0.80000000000000004441 gamma_coef = 0.25000000000000000000 gamma_coefb = 0.25000000000000000000 gamma_coefc = 5.00000000000000000000 mu = 0.00100000000000000002 beta = 1.00000000000000000000 lmin_coef = 0.50000000000000000000 omicron = 0.50000000000000000000 zeta_vrnce_rat = 0.00000000000000000000 upsilon_precip_frac_rat = 0.55000000000000004441 lambda0_stability_coef = 0.02999999999999999889 mult_coef = 0.50000000000000000000 taumin = 90.00000000000000000000 taumax = 3600.00000000000000000000 Lscale_mu_coef = 2.00000000000000000000 Lscale_pert_coef = 0.10000000000000000555 alpha_corr = 0.14999999999999999445 Skw_denom_coef = 4.00000000000000000000 c_K10 = 1.00000000000000000000 c_K10h = 1.00000000000000000000 thlp2_rad_coef = 1.00000000000000000000 thlp2_rad_cloud_frac_thresh = 0.10000000000000000555 up2_sfc_coef = 4.00000000000000000000 Skw_max_mag = 10.00000000000000000000 C_invrs_tau_bkgnd = 1.10000000000000008882 C_invrs_tau_sfc = 0.10000000000000000555 C_invrs_tau_shear = 0.14999999999999999445 C_invrs_tau_N2 = 0.40000000000000002220 C_invrs_tau_N2_wp2 = 0.20000000000000001110 C_invrs_tau_N2_xp2 = 0.05000000000000000278 C_invrs_tau_N2_wpxp = 0.00000000000000000000 C_invrs_tau_N2_clear_wp3 = 1.00000000000000000000 C_invrs_tau_wpxp_Ri = 0.34999999999999997780 C_invrs_tau_wpxp_N2_thresh = 0.00033000000000000000 xp3_coef_base = 0.25000000000000000000 xp3_coef_slope = 0.01000000000000000021 altitude_threshold = 100.00000000000000000000 rtp2_clip_coef = 0.50000000000000000000 Cx_min = 0.33000000000000001554 Cx_max = 0.94999999999999995559 Richardson_num_min = 0.25000000000000000000 Richardson_num_max = 400.00000000000000000000 a3_coef_min = 1.00000000000000000000 a_const = 1.80000000000000004441 bv_efold = 5.00000000000000000000 wpxp_Ri_exp = 0.50000000000000000000 z_displace = 25.00000000000000000000 -------------------------------------------------- Preprocessing Directives: -------------------------------------------------- -DCOAMPS_MICRO enabled -DTUNER disabled -Dnooverlap enabled -Draoffline enabled -DUSE_BUGSrad_ocast_random disabled -------------------------------------------------- &model_setting -------------------------------------------------- runtype = arm_97 nzmax = 128 grid_type = 2 deltaz = 150.00000000000000 zm_init = 0.0000000000000000 zm_top = 27625.000000000000 zt_grid_fname = ../input/grid/deep_convection_128lev_27km_zt_grid.grd zm_grid_fname = day = 26 month = 6 year = 1997 lat_vals = 36.500000000000000 lon_vals = -97.500000000000000 sfc_elevation = 0.0000000000000000 time_initial = 84660.000000000000 time_final = 419460.00000000000 dt_main = 60.000000000000000 dt_rad = 1800.0000000000000 sfctype = 0 T_sfc = 288.00000000000000 p_sfc = 97151.029999999999 sens_ht = 0.0000000000000000 latent_ht = 0.0000000000000000 fcor = 0.0000000000000000 fcor_y = 1.1723448454519913E-004 T0 = 300.00000000000000 ts_nudge = 7200.0000000000000 forcings_file_path = l_t_dependent = T l_ignore_forcings = F l_modify_ic_with_cubic_int = F l_modify_bc_for_cnvg_test = F l_input_xpwp_sfc = F saturation_formula = 3 thlm_sponge_damp_settings%l_sponge_damping = F rtm_sponge_damp_settings%l_sponge_damping = F uv_sponge_damp_settings%l_sponge_damping = F wp2_sponge_damp_settings%l_sponge_damping = F wp3_sponge_damp_settings%l_sponge_damping = F up2_vp2_sponge_damp_settings%l_sponge_damping = F thlm_sponge_damp_settings%tau_sponge_damp_min = 60.000000000000000 thlm_sponge_damp_settings%tau_sponge_damp_max = 1800.0000000000000 thlm_sponge_damp_settings%sponge_damp_depth = 0.25000000000000000 rtm_sponge_damp_settings%tau_sponge_damp_min = 60.000000000000000 rtm_sponge_damp_settings%tau_sponge_damp_max = 1800.0000000000000 rtm_sponge_damp_settings%sponge_damp_depth = 0.25000000000000000 uv_sponge_damp_settings%tau_sponge_damp_min = 60.000000000000000 uv_sponge_damp_settings%tau_sponge_damp_max = 1800.0000000000000 uv_sponge_damp_settings%sponge_damp_depth = 0.25000000000000000 wp2_sponge_damp_settings%tau_sponge_damp_min = 60.000000000000000 wp2_sponge_damp_settings%tau_sponge_damp_max = 1800.0000000000000 wp2_sponge_damp_settings%sponge_damp_depth = 0.25000000000000000 wp3_sponge_damp_settings%tau_sponge_damp_min = 60.000000000000000 wp3_sponge_damp_settings%tau_sponge_damp_max = 1800.0000000000000 wp3_sponge_damp_settings%sponge_damp_depth = 0.25000000000000000 up2_vp2_sponge_damp_settings%tau_sponge_damp_min = 60.000000000000000 up2_vp2_sponge_damp_settings%tau_sponge_damp_max = 1800.0000000000000 up2_vp2_sponge_damp_settings%sponge_damp_depth = 0.25000000000000000 l_soil_veg = F l_restart = F l_input_fields = F restart_path_case = restart/arm_97 time_restart = 0.0000000000000000 debug_level = 2 sclr_dim = 0 edsclr_dim = 2 iisclr_thl = -2 iisclr_rt = -1 iisclr_CO2 = -1 sclr_tol = -------------------------------------------------- &stats_setting -------------------------------------------------- l_stats = T output_dir = /home/jenkins/workspace/clubb_error_handling_gfortran_test/output/ fname_prefix = arm_97 stats_output_filename = arm_97_stats.nc stats_tsamp = 60.000000000000000 stats_tout = 60.000000000000000 stats_tstart = 84660.000000000000 stats_tend = 419460.00000000000 l_allow_small_stats_tout = F Constant flags: l_pos_def = F l_gamma_Skw = T Constant tolerances [units] rt_tol [kg/kg] = 1.0000000000000000E-008 thl_tol [K] = 1.0000000000000000E-002 w_tol [m/s] = 2.0000000000000000E-002 -------------------------------------------------- µphysics_setting -------------------------------------------------- microphys_scheme = morrison l_cloud_sed = F sigma_g = 1.5000000000000000 l_graupel = T l_hail = F l_seifert_beheng = F l_predict_Nc = F l_const_Nc_in_cloud = T specify_aerosol = morrison_lognormal l_subgrid_w = T l_arctic_nucl = F l_cloud_edge_activation = F l_fix_pgam = F l_in_cloud_Nc_diff = T l_var_covar_src = T l_upwind_diff_sed = F lh_microphys_type = interactive lh_num_samples = 8 lh_sequence_length = 1 lh_seed = 5489 l_fix_w_chi_eta_correlations = T l_silhs_KK_convergence_adj_mean = F importance_prob_thresh = 1.0000000000000000E-008 host_dx = 1000000.0000000000 host_dy = 1000000.0000000000 hmp2_ip_on_hmm2_ip_slope%rr = 0.0000000000000000 hmp2_ip_on_hmm2_ip_slope%ri = 0.0000000000000000 hmp2_ip_on_hmm2_ip_slope%rs = 0.0000000000000000 hmp2_ip_on_hmm2_ip_slope%rg = 0.0000000000000000 hmp2_ip_on_hmm2_ip_slope%Nr = 0.0000000000000000 hmp2_ip_on_hmm2_ip_slope%Ni = 0.0000000000000000 hmp2_ip_on_hmm2_ip_slope%Ni = 0.0000000000000000 hmp2_ip_on_hmm2_ip_slope%Ng = 0.0000000000000000 hmp2_ip_on_hmm2_ip_intrcpt%rr = 5.0000000000000000 hmp2_ip_on_hmm2_ip_intrcpt%ri = 1.2500000000000000 hmp2_ip_on_hmm2_ip_intrcpt%rs = 1.2500000000000000 hmp2_ip_on_hmm2_ip_intrcpt%rg = 1.2500000000000000 hmp2_ip_on_hmm2_ip_intrcpt%Nr = 2.5000000000000000 hmp2_ip_on_hmm2_ip_intrcpt%Ni = 0.62500000000000000 hmp2_ip_on_hmm2_ip_intrcpt%Ni = 0.62500000000000000 hmp2_ip_on_hmm2_ip_intrcpt%Ng = 0.62500000000000000 Ncnp2_on_Ncnm2 = 3.0000000000000001E-003 C_evap = 0.85999999999999999 r_0 = 2.5000000000000001E-005 microphys_start_time = 0.0000000000000000 Nc0_in_cloud = 100000000.00000000 ccnconst = 120.00000000000000 ccnexpnt = 0.40000000596046448 aer_rm1 = 1.1000000021965661E-008 aer_rm2 = 5.9999997858994902E-008 aer_n1 = 125000000.00000000 aer_n2 = 65000000.000000000 aer_sig1 = 1.2000000476837158 aer_sig2 = 1.7000000476837158 pgam_fixed = 5.0000000000000000 precip_frac_calc_type = 2 -------------------------------------------------- &SILHS_setting -------------------------------------------------- Correlation array (approximate); in cloud: 1.000 -0.600 0.090 0.090 0.558 0.544 0.212 0.207 0.212 0.207 0.212 0.207 -0.600 1.000 0.027 0.027 0.081 0.093 -0.026 0.087 0.019 0.012 0.000 0.000 0.090 0.027 1.000 0.340 0.223 0.217 0.106 0.156 0.000 0.000 0.000 0.000 0.090 0.027 0.340 1.000 0.000 0.000 0.464 0.320 0.168 0.232 0.000 0.000 0.558 0.081 0.223 0.000 1.000 0.728 0.000 0.000 0.116 0.114 0.226 0.223 0.544 0.093 0.217 0.000 0.728 1.000 0.113 0.111 0.000 0.000 0.222 0.219 0.212 -0.026 0.106 0.464 0.000 0.113 1.000 0.717 0.526 0.522 0.323 0.319 0.207 0.087 0.156 0.320 0.000 0.111 0.717 1.000 0.522 0.516 0.319 0.315 0.212 0.019 0.000 0.168 0.116 0.000 0.526 0.522 1.000 0.717 0.425 0.421 0.207 0.012 0.000 0.232 0.114 0.000 0.522 0.516 0.717 1.000 0.421 0.417 0.212 0.000 0.000 0.000 0.226 0.222 0.323 0.319 0.425 0.421 1.000 0.717 0.207 0.000 0.000 0.000 0.223 0.219 0.319 0.315 0.421 0.417 0.717 1.000 Correlation array (approximate); below cloud: 1.000 0.300 0.090 0.090 0.558 0.544 0.212 0.207 0.212 0.207 0.212 0.207 0.300 1.000 0.027 0.027 0.081 0.093 -0.026 0.087 0.019 0.012 0.000 0.000 0.090 0.027 1.000 0.340 0.223 0.217 0.106 0.156 0.000 0.000 0.000 0.000 0.090 0.027 0.340 1.000 0.000 0.000 0.464 0.320 0.168 0.232 0.000 0.000 0.558 0.081 0.223 0.000 1.000 0.728 0.000 0.000 0.116 0.114 0.226 0.223 0.544 0.093 0.217 0.000 0.728 1.000 0.113 0.111 0.000 0.000 0.222 0.219 0.212 -0.026 0.106 0.464 0.000 0.113 1.000 0.717 0.526 0.522 0.323 0.319 0.207 0.087 0.156 0.320 0.000 0.111 0.717 1.000 0.522 0.516 0.319 0.315 0.212 0.019 0.000 0.168 0.116 0.000 0.526 0.522 1.000 0.717 0.425 0.421 0.207 0.012 0.000 0.232 0.114 0.000 0.522 0.516 0.717 1.000 0.421 0.417 0.212 0.000 0.000 0.000 0.226 0.222 0.323 0.319 0.425 0.421 1.000 0.717 0.207 0.000 0.000 0.000 0.223 0.219 0.319 0.315 0.421 0.417 0.717 1.000 -------------------------------------------------- &radiation_setting -------------------------------------------------- rad_scheme = bugsrad sol_const = 1367.0000000000000 alvdr = 0.10000000000000001 alvdf = 0.10000000000000001 alndr = 0.10000000000000001 alndf = 0.10000000000000001 radiation_top = 50000.000000000000 F0 = 100.00000000000000 F1 = 20.000000000000000 kappa = 119.00000000000000 gc = 0.85999999999999999 omega = 0.99650000000000005 slr = 1.0000000000000000 l_rad_above_cloud = F l_sw_radiation = T l_fix_cos_solar_zen = F l_use_default_std_atmosphere = T Fs_values = 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 cos_solar_zen_values = -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 cos_solar_zen_times = -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 -999.00000000000000 eff_drop_radius = 1.0000000000000001E-005 -------------------------------------------------- &configurable_clubb_flags_nl -------------------------------------------------- iiPDF_type = 1 ipdf_call_placement = 2 penta_solve_method = 2 tridiag_solve_method = 2 grid_remap_method = 1 grid_adapt_in_time_method = 0 l_use_precip_frac = T l_predict_upwp_vpwp = T l_ho_nontrad_coriolis = F l_ho_trad_coriolis = F l_min_wp2_from_corr_wx = F l_min_xp2_from_corr_wx = T l_C2_cloud_frac = F l_diffuse_rtm_and_thlm = F l_stability_correct_Kh_N2_zm = F l_calc_thlp2_rad = T l_upwind_xpyp_ta = T l_upwind_xm_ma = T l_uv_nudge = T l_rtm_nudge = F l_vert_avg_closure = F l_trapezoidal_rule_zt = F l_trapezoidal_rule_zm = F l_call_pdf_closure_twice = F l_standard_term_ta = F l_partial_upwind_wp3 = F l_godunov_upwind_wpxp_ta = F l_godunov_upwind_xpyp_ta = F l_use_cloud_cover = F l_diagnose_correlations = F l_calc_w_corr = F l_const_Nc_in_cloud = T l_fix_w_chi_eta_correlations = T l_stability_correct_tau_zm = F l_damp_wp2_using_em = T l_do_expldiff_rtm_thlm = F l_Lscale_plume_centered = F l_diag_Lscale_from_tau = F l_use_C7_Richardson = T l_use_C11_Richardson = F l_use_shear_Richardson = F l_brunt_vaisala_freq_moist = F l_use_thvm_in_bv_freq = F l_rcm_supersat_adj = T l_damp_wp3_Skw_squared = T l_prescribed_avg_deltaz = F l_lmm_stepping = F l_e3sm_config = F l_vary_convect_depth = F l_use_tke_in_wp3_pr_turb_term = T l_use_tke_in_wp2_wp3_K_dfsn = F l_use_wp3_lim_with_smth_Heaviside = F l_smooth_Heaviside_tau_wpxp = T l_modify_limiters_for_cnvg_test = F l_enable_relaxed_clipping = F l_linearize_pbl_winds = F l_mono_flux_lim_thlm = T l_mono_flux_lim_rtm = T l_mono_flux_lim_um = T l_mono_flux_lim_vm = T l_mono_flux_lim_spikefix = T l_host_applies_sfc_fluxes = F l_wp2_fill_holes_tke = T l_add_dycore_grid = F -------------------------------------------------- git diff src/ -------------------------------------------------- See *setup.txt file in output folder Path to sounding: arm_97_sounding.in File exists? T Path to sclr_sounding: arm_97_sclr_sounding.in File exists? T Path to edsclr_sounding: arm_97_edsclr_sounding.in File exists? T Reading in sounding information z = 0.0000000000000000 59.210000000000001 524.30399999999997 1008.6140000000000 1515.2339999999999 2047.6610000000001 2609.4340000000002 3203.9600000000000 3835.4360000000001 4509.9830000000002 5235.9300000000003 6023.2039999999997 6882.9089999999997 7828.9579999999996 8881.1939999999995 10071.930000000000 11458.433999999999 13147.343000000001 15385.763000000001 15500.000000000000 15750.000000000000 16000.000000000000 16250.000000000000 16500.000000000000 16750.000000000000 17000.000000000000 17250.000000000000 17500.000000000000 17750.000000000000 18000.000000000000 18250.000000000000 18500.000000000000 18750.000000000000 19000.000000000000 19250.000000000000 19500.000000000000 19750.000000000000 20000.000000000000 20250.000000000000 20500.000000000000 20750.000000000000 21000.000000000000 21250.000000000000 21500.000000000000 21750.000000000000 22000.000000000000 22250.000000000000 22500.000000000000 22750.000000000000 23000.000000000000 23250.000000000000 23500.000000000000 23750.000000000000 24000.000000000000 24250.000000000000 24500.000000000000 24750.000000000000 25000.000000000000 25250.000000000000 25500.000000000000 25750.000000000000 26000.000000000000 26250.000000000000 26500.000000000000 26750.000000000000 27000.000000000000 27250.000000000000 27500.000000000000 u = -0.75500000000000000 -0.75500000000000000 -0.18099999999999999 1.6659999999999999 3.5750000000000002 5.0490000000000004 5.8710000000000004 6.4790000000000001 6.8570000000000002 7.0069999999999997 7.0400000000000000 6.8780000000000001 6.6050000000000004 6.7640000000000002 7.8330000000000002 9.9770000000000003 11.247999999999999 10.616000000000000 5.3810000000000002 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 v = 0.19100000000000000 0.19100000000000000 1.0309999999999999 1.3650000000000000 0.88800000000000001 -0.60599999999999998 -2.7469999999999999 -4.8129999999999997 -5.5789999999999997 -4.4470000000000001 -1.8819999999999999 0.43600000000000000 1.9179999999999999 2.6299999999999999 3.5440000000000000 4.1120000000000001 3.4020000000000001 1.9670000000000001 0.51000000000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 ug = -0.75500000000000000 -0.75500000000000000 -0.18099999999999999 1.6659999999999999 3.5750000000000002 5.0490000000000004 5.8710000000000004 6.4790000000000001 6.8570000000000002 7.0069999999999997 7.0400000000000000 6.8780000000000001 6.6050000000000004 6.7640000000000002 7.8330000000000002 9.9770000000000003 11.247999999999999 10.616000000000000 5.3810000000000002 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 5.6985086999999996 vg = 0.19100000000000000 0.19100000000000000 1.0309999999999999 1.3650000000000000 0.88800000000000001 -0.60599999999999998 -2.7469999999999999 -4.8129999999999997 -5.5789999999999997 -4.4470000000000001 -1.8819999999999999 0.43600000000000000 1.9179999999999999 2.6299999999999999 3.5440000000000000 4.1120000000000001 3.4020000000000001 1.9670000000000001 0.51000000000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 0.59836864000000001 theta = 301.47100000000000 301.47100000000000 301.88900000000001 302.91800000000001 304.76499999999999 307.25299999999999 309.80599999999998 311.96600000000001 314.29800000000000 317.19499999999999 320.93700000000001 324.83499999999998 328.27499999999998 331.16699999999997 333.76400000000001 337.68400000000003 344.93500000000000 358.02600000000001 389.63099999999997 404.54836999999998 409.19454999999999 414.09089999999998 418.48012999999997 423.08676000000003 427.93079999999998 433.03487999999999 437.63364000000001 442.46069999999997 447.53696000000002 452.88634999999999 457.69405999999998 462.74032999999997 468.04703000000001 473.63907000000000 478.66363999999999 483.93729999999999 489.48289999999997 495.32654000000002 501.14584000000002 507.23703000000000 513.62480000000005 520.33730000000003 526.42909999999995 532.80457000000001 539.48940000000005 546.51270000000000 552.87114999999994 559.52373999999998 566.49676999999997 573.82039999999995 580.47019999999998 587.42645000000005 594.71650000000000 602.37134000000003 609.37429999999995 616.70150000000001 624.38189999999997 632.44854999999995 638.02350000000001 643.78290000000004 649.73895000000005 655.90454000000000 662.29395000000000 668.92319999999995 675.80960000000005 682.97253000000001 690.43353000000002 698.21673999999996 rt = 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6.3391799999999997E-006 6.7695933000000002E-006 7.2000065999999999E-006 7.6304200000000004E-006 8.0608340000000005E-006 8.6365520000000000E-006 9.2122699999999995E-006 9.7879880000000007E-006 1.0363708000000001E-005 1.1021647000000000E-005 1.1679586000000001E-005 1.2337527000000001E-005 1.2995469000000000E-005 1.3863442000000000E-005 1.4731417000000001E-005 1.5599392999999999E-005 1.6467371000000002E-005 1.6676052999999999E-005 1.6884735000000000E-005 1.7093418000000001E-005 1.7302097999999999E-005 1.7510807000000001E-005 1.7719512000000002E-005 1.7928221000000000E-005 1.8136928999999998E-005 1.8345636000000001E-005 1.8554343000000001E-005 p_in_Pa = -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 -999.89999999999998 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-999.89999999999998 subs = 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 edsclr_ 1) 0.143E-01 0.143E-01 0.126E-01 0.112E-01 0.924E-02 0.701E-02 0.509E-02 0.387E-02 0.288E-02 0.232E-02 0.184E-02 0.140E-02 0.843E-03 0.435E-03 0.211E-03 0.890E-04 0.300E-04 0.900E-05 0.500E-05 0.368E-05 0.367E-05 0.366E-05 0.366E-05 0.366E-05 0.366E-05 0.365E-05 0.365E-05 0.364E-05 0.363E-05 0.362E-05 0.377E-05 0.392E-05 0.408E-05 0.423E-05 0.441E-05 0.459E-05 0.477E-05 0.495E-05 0.530E-05 0.564E-05 0.599E-05 0.634E-05 0.677E-05 0.720E-05 0.763E-05 0.806E-05 0.864E-05 0.921E-05 0.979E-05 0.104E-04 0.110E-04 0.117E-04 0.123E-04 0.130E-04 0.139E-04 0.147E-04 0.156E-04 0.165E-04 0.167E-04 0.169E-04 0.171E-04 0.173E-04 0.175E-04 0.177E-04 0.179E-04 0.181E-04 0.183E-04 0.186E-04 edsclr_ 2) 301. 301. 302. 303. 305. 307. 310. 312. 314. 317. 321. 325. 328. 331. 334. 338. 345. 358. 390. 405. 409. 414. 418. 423. 428. 433. 438. 442. 448. 453. 458. 463. 468. 474. 479. 484. 489. 495. 501. 507. 514. 520. 526. 533. 539. 547. 553. 560. 566. 574. 580. 587. 595. 602. 609. 617. 624. 632. 638. 644. 650. 656. 662. 669. 676. 683. 690. 698. ERROR: NaN detected: soln( 1 , 1 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 2 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 3 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 4 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 5 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 6 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 7 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 8 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 9 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 10 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 11 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 12 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 13 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 14 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 15 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 16 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 17 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 18 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 19 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 20 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 21 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 22 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 23 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 24 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 25 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 26 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 27 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 28 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 29 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 30 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 31 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 32 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 33 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 34 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 35 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 36 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 37 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 38 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 39 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 40 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 41 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 42 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 43 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 44 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 45 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 46 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 47 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 48 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 49 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 50 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 51 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 52 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 53 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 54 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 55 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 56 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 57 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 58 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 59 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 60 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 61 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 62 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 63 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 64 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 65 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 66 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 67 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 68 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 69 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 70 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 71 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 72 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 73 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 74 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 75 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 76 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 77 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 78 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 79 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 80 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 81 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 82 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 83 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 84 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 85 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 86 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 87 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 88 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 89 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 90 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 91 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 92 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 93 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 94 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 95 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 96 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 97 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 98 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 99 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 100 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 101 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 102 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 103 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 104 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 105 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 106 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 107 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 108 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 109 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 110 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 111 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 112 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 113 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 114 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 115 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 116 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 117 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 118 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 119 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 120 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 121 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 122 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 123 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 124 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 125 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 126 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 127 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 128 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 129 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 130 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 131 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 132 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 133 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 134 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 135 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 136 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 137 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 138 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 139 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 140 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 141 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 142 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 143 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 144 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 145 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 146 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 147 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 148 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 149 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 150 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 151 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 152 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 153 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 154 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 155 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 156 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 157 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 158 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 159 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 160 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 161 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 162 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 163 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 164 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 165 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 166 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 167 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 168 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 169 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 170 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 171 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 172 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 173 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 174 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 175 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 176 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 177 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 178 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 179 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 180 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 181 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 182 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 183 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 184 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 185 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 186 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 187 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 188 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 189 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 190 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 191 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 192 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 193 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 194 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 195 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 196 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 197 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 198 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 199 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 200 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 201 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 202 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 203 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 204 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 205 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 206 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 207 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 208 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 209 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 210 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 211 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 212 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 213 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 214 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 215 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 216 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 217 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 218 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 219 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 220 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 221 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 222 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 223 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 224 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 225 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 226 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 227 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 228 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 229 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 230 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 231 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 232 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 233 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 234 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 235 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 236 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 237 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 238 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 239 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 240 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 241 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 242 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 243 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 244 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 245 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 246 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 247 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 248 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 249 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 250 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 251 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 252 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 253 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 254 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 255 , 1 ) = NaN ERROR: NaN detected: soln( 1 , 1 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 2 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 3 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 4 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 5 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 6 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 7 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 8 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 9 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 10 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 11 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 12 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 13 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 14 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 15 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 16 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 17 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 18 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 19 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 20 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 21 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 22 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 23 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 24 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 25 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 26 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 27 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 28 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 29 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 30 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 31 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 32 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 33 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 34 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 35 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 36 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 37 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 38 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 39 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 40 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 41 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 42 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 43 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 44 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 45 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 46 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 47 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 48 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 49 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 50 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 51 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 52 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 53 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 54 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 55 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 56 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 57 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 58 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 59 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 60 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 61 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 62 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 63 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 64 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 65 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 66 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 67 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 68 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 69 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 70 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 71 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 72 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 73 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 74 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 75 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 76 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 77 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 78 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 79 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 80 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 81 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 82 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 83 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 84 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 85 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 86 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 87 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 88 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 89 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 90 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 91 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 92 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 93 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 94 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 95 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 96 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 97 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 98 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 99 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 100 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 101 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 102 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 103 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 104 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 105 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 106 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 107 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 108 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 109 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 110 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 111 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 112 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 113 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 114 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 115 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 116 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 117 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 118 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 119 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 120 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 121 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 122 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 123 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 124 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 125 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 126 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 127 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 128 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 129 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 130 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 131 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 132 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 133 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 134 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 135 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 136 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 137 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 138 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 139 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 140 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 141 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 142 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 143 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 144 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 145 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 146 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 147 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 148 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 149 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 150 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 151 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 152 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 153 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 154 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 155 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 156 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 157 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 158 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 159 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 160 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 161 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 162 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 163 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 164 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 165 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 166 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 167 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 168 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 169 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 170 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 171 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 172 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 173 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 174 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 175 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 176 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 177 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 178 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 179 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 180 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 181 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 182 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 183 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 184 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 185 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 186 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 187 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 188 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 189 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 190 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 191 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 192 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 193 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 194 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 195 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 196 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 197 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 198 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 199 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 200 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 201 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 202 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 203 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 204 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 205 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 206 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 207 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 208 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 209 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 210 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 211 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 212 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 213 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 214 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 215 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 216 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 217 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 218 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 219 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 220 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 221 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 222 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 223 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 224 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 225 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 226 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 227 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 228 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 229 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 230 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 231 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 232 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 233 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 234 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 235 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 236 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 237 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 238 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 239 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 240 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 241 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 242 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 243 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 244 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 245 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 246 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 247 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 248 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 249 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 250 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 251 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 252 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 253 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 254 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 255 , 2 ) = NaN ERROR: NaN detected: soln( 1 , 1 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 2 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 3 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 4 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 5 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 6 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 7 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 8 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 9 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 10 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 11 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 12 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 13 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 14 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 15 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 16 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 17 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 18 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 19 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 20 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 21 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 22 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 23 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 24 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 25 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 26 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 27 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 28 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 29 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 30 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 31 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 32 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 33 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 34 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 35 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 36 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 37 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 38 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 39 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 40 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 41 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 42 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 43 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 44 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 45 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 46 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 47 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 48 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 49 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 50 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 51 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 52 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 53 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 54 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 55 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 56 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 57 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 58 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 59 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 60 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 61 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 62 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 63 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 64 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 65 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 66 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 67 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 68 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 69 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 70 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 71 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 72 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 73 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 74 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 75 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 76 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 77 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 78 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 79 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 80 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 81 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 82 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 83 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 84 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 85 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 86 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 87 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 88 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 89 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 90 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 91 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 92 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 93 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 94 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 95 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 96 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 97 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 98 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 99 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 100 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 101 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 102 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 103 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 104 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 105 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 106 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 107 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 108 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 109 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 110 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 111 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 112 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 113 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 114 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 115 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 116 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 117 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 118 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 119 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 120 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 121 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 122 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 123 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 124 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 125 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 126 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 127 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 128 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 129 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 130 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 131 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 132 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 133 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 134 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 135 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 136 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 137 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 138 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 139 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 140 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 141 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 142 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 143 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 144 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 145 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 146 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 147 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 148 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 149 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 150 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 151 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 152 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 153 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 154 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 155 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 156 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 157 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 158 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 159 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 160 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 161 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 162 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 163 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 164 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 165 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 166 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 167 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 168 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 169 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 170 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 171 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 172 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 173 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 174 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 175 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 176 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 177 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 178 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 179 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 180 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 181 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 182 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 183 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 184 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 185 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 186 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 187 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 188 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 189 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 190 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 191 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 192 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 193 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 194 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 195 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 196 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 197 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 198 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 199 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 200 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 201 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 202 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 203 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 204 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 205 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 206 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 207 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 208 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 209 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 210 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 211 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 212 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 213 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 214 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 215 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 216 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 217 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 218 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 219 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 220 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 221 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 222 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 223 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 224 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 225 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 226 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 227 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 228 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 229 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 230 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 231 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 232 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 233 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 234 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 235 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 236 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 237 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 238 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 239 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 240 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 241 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 242 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 243 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 244 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 245 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 246 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 247 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 248 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 249 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 250 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 251 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 252 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 253 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 254 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 255 , 3 ) = NaN ERROR: NaN detected: soln( 1 , 1 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 2 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 3 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 4 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 5 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 6 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 7 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 8 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 9 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 10 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 11 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 12 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 13 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 14 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 15 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 16 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 17 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 18 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 19 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 20 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 21 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 22 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 23 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 24 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 25 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 26 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 27 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 28 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 29 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 30 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 31 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 32 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 33 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 34 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 35 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 36 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 37 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 38 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 39 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 40 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 41 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 42 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 43 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 44 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 45 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 46 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 47 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 48 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 49 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 50 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 51 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 52 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 53 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 54 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 55 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 56 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 57 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 58 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 59 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 60 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 61 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 62 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 63 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 64 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 65 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 66 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 67 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 68 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 69 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 70 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 71 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 72 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 73 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 74 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 75 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 76 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 77 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 78 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 79 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 80 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 81 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 82 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 83 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 84 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 85 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 86 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 87 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 88 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 89 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 90 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 91 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 92 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 93 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 94 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 95 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 96 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 97 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 98 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 99 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 100 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 101 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 102 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 103 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 104 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 105 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 106 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 107 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 108 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 109 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 110 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 111 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 112 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 113 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 114 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 115 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 116 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 117 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 118 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 119 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 120 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 121 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 122 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 123 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 124 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 125 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 126 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 127 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 128 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 129 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 130 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 131 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 132 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 133 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 134 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 135 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 136 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 137 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 138 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 139 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 140 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 141 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 142 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 143 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 144 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 145 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 146 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 147 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 148 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 149 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 150 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 151 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 152 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 153 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 154 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 155 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 156 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 157 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 158 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 159 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 160 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 161 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 162 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 163 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 164 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 165 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 166 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 167 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 168 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 169 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 170 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 171 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 172 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 173 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 174 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 175 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 176 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 177 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 178 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 179 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 180 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 181 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 182 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 183 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 184 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 185 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 186 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 187 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 188 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 189 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 190 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 191 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 192 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 193 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 194 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 195 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 196 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 197 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 198 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 199 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 200 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 201 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 202 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 203 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 204 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 205 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 206 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 207 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 208 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 209 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 210 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 211 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 212 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 213 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 214 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 215 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 216 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 217 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 218 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 219 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 220 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 221 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 222 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 223 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 224 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 225 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 226 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 227 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 228 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 229 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 230 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 231 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 232 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 233 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 234 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 235 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 236 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 237 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 238 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 239 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 240 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 241 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 242 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 243 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 244 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 245 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 246 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 247 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 248 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 249 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 250 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 251 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 252 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 253 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 254 , 4 ) = NaN ERROR: NaN detected: soln( 1 , 255 , 4 ) = NaN Fatal error in CLUBB - MPI Process 1 / Chunk index 1 Column index not available. Latitude/Longitude for column 1: 15.00/-56.50 Latitude range from -90 to 90 degrees, Longitude range from -180 to 180 degrees solve_method = 2 xm_wpxp NaNs in solution Fatal error in CLUBB - MPI Process 1 / Chunk index 1 Column index not available. Latitude/Longitude for column 1: 15.00/-56.50 Latitude range from -90 to 90 degrees, Longitude range from -180 to 180 degrees Error in xm_wpxp_solve Fatal error in CLUBB - MPI Process 1 / Chunk index 1 Column index not available. Latitude/Longitude for column 1: 15.00/-56.50 Latitude range from -90 to 90 degrees, Longitude range from -180 to 180 degrees xm & wpxp LU decomp. failed General xm and wpxp LHS grid col = 1 zm level = 1 height [m] = 0.0000000000000000 LHS = 0.0000000000000000 0.0000000000000000 1.0000000000000000 0.0000000000000000 0.0000000000000000 grid col = 1 zt level = 1 height [m] = 25.000000000000000 LHS = 0.0000000000000000 2.6639673213891636E-002 1.6666666666666666E-002 -2.6720702790442127E-002 0.0000000000000000 grid col = 1 zm level = 2 height [m] = 37.500000000000000 LHS = 23.972780316303460 NaN 3.3775123637679632 NaN -24.885492495151770 grid col = 1 zt level = 2 height [m] = 50.000000000000000 LHS = 0.0000000000000000 2.4863839373948114E-002 1.6666666666666666E-002 -2.4943293463023992E-002 0.0000000000000000 grid col = 1 zm level = 3 height [m] = 77.631576550000005 LHS = 18.047853280731871 NaN 7.2197588661408032 NaN -24.075542948186140 grid col = 1 zt level = 3 height [m] = 105.26315310000000 LHS = 0.0000000000000000 1.8056044019906178E-002 1.6666666666666666E-002 -1.8134716629921718E-002 0.0000000000000000 grid col = 1 zm level = 4 height [m] = 132.89472964999999 LHS = 16.477460703477476 NaN 1.5378289229114692 NaN -18.142550588465372 grid col = 1 zt level = 4 height [m] = 160.52630619999999 LHS = 0.0000000000000000 1.6479068893446684E-002 1.6666666666666666E-002 -1.6557640982444537E-002 0.0000000000000000 grid col = 1 zm level = 5 height [m] = 193.42102814999998 LHS = 15.153451046518120 NaN 1.2884358442077208 NaN -16.571672845618295 grid col = 1 zt level = 5 height [m] = 226.31575010000000 LHS = 0.0000000000000000 1.5160662143916653E-002 1.6666666666666666E-002 -1.5239411559904246E-002 0.0000000000000000 grid col = 1 zm level = 6 height [m] = 259.21047210000000 LHS = 14.030474602131928 NaN 1.0849598640235394 NaN -15.246744399318239 grid col = 1 zt level = 6 height [m] = 292.10519410000001 LHS = 0.0000000000000000 1.4031735065568693E-002 1.6666666666666666E-002 -1.4110643346024222E-002 0.0000000000000000 grid col = 1 zm level = 7 height [m] = 330.26307680000002 LHS = 13.058060495954043 NaN 0.93239538298103686 NaN -14.122737481637104 grid col = 1 zt level = 7 height [m] = 368.42095949999998 LHS = 0.0000000000000000 1.3063930364223061E-002 1.6666666666666666E-002 -1.3143044654167753E-002 0.0000000000000000 grid col = 1 zm level = 8 height [m] = 406.57884220000000 LHS = 12.215516317633599 NaN 0.80065677011161374 NaN -13.149048800971759 grid col = 1 zt level = 8 height [m] = 444.73672490000001 LHS = 0.0000000000000000 1.2215668317966204E-002 1.6666666666666666E-002 -1.2295199247125613E-002 0.0000000000000000 grid col = 1 zm level = 9 height [m] = 488.15776065000000 LHS = 11.470845566562547 NaN 0.70070456362581290 NaN -12.305511706913054 grid col = 1 zt level = 9 height [m] = 531.57879639999999 LHS = 0.0000000000000000 1.1472859710406893E-002 1.6666666666666666E-002 -1.1555178977564058E-002 0.0000000000000000 grid col = 1 zm level = 10 height [m] = 574.99984740000002 LHS = 10.813905140878989 NaN 0.60605018899899787 NaN -11.562057907887606 grid col = 1 zt level = 10 height [m] = 618.42089840000006 LHS = 0.0000000000000000 1.0812338221978430E-002 1.6666666666666666E-002 -1.0897213763181110E-002 0.0000000000000000 grid col = 1 zm level = 11 height [m] = 667.10510250000004 LHS = 10.225236120543711 NaN 0.54024126939176287 NaN -10.905115838529261 grid col = 1 zt level = 11 height [m] = 715.78930660000003 LHS = 0.0000000000000000 1.0227779755415042E-002 1.6666666666666666E-002 -1.0312885391511250E-002 0.0000000000000000 grid col = 1 zm level = 12 height [m] = 764.47351070000002 LHS = 9.7007761985032115 NaN 0.47562336737800431 NaN -10.315559471571591 grid col = 1 zt level = 12 height [m] = 813.15771480000001 LHS = 0.0000000000000000 9.6988100449553419E-003 1.6666666666666666E-002 -9.7841207971216381E-003 0.0000000000000000 grid col = 1 zm level = 13 height [m] = 867.10510249999993 LHS = 9.2236022047424573 NaN 0.42804897167573558 NaN -9.7908023071904182 grid col = 1 zt level = 13 height [m] = 921.05249019999997 LHS = 0.0000000000000000 9.2252296426344402E-003 1.6666666666666666E-002 -9.3111413332731697E-003 0.0000000000000000 grid col = 1 zm level = 14 height [m] = 974.99987809999993 LHS = 8.7942943923884052 NaN 0.37967955409744997 NaN -9.3136013607552695 grid col = 1 zt level = 14 height [m] = 1028.9472659999999 LHS = 0.0000000000000000 8.7904790747403150E-003 1.6666666666666666E-002 -8.8785093358245120E-003 0.0000000000000000 grid col = 1 zm level = 15 height [m] = 1088.1578370000000 LHS = 8.3982817904633507 NaN 0.34368909505491074 NaN -8.8858315497446707 grid col = 1 zt level = 15 height [m] = 1147.3684080000000 LHS = 0.0000000000000000 8.3996874643805213E-003 1.6666666666666666E-002 -8.4893819276286187E-003 0.0000000000000000 grid col = 1 zm level = 16 height [m] = 1206.5789184999999 LHS = 8.0408108322360654 NaN 0.30705685292469381 NaN -8.4909102959840705 grid col = 1 zt level = 16 height [m] = 1265.7894289999999 LHS = 0.0000000000000000 8.0383440749222171E-003 1.6666666666666666E-002 -8.1282374061548545E-003 0.0000000000000000 grid col = 1 zm level = 17 height [m] = 1330.2631225000000 LHS = 7.7089676093406139 NaN 0.28105937071195952 NaN -8.1334363306033826 grid col = 1 zt level = 17 height [m] = 1394.7368160000001 LHS = 0.0000000000000000 7.7100423461860124E-003 1.6666666666666666E-002 -7.8002790393551305E-003 0.0000000000000000 grid col = 1 zm level = 18 height [m] = 1459.2104490000002 LHS = 7.4064993485444823 NaN 0.25165015003356989 NaN -7.8016685752874952 grid col = 1 zt level = 18 height [m] = 1523.6840820000000 LHS = 0.0000000000000000 7.4027073106532060E-003 1.6666666666666666E-002 -7.4945897310807336E-003 0.0000000000000000 grid col = 1 zm level = 19 height [m] = 1593.4208985000000 LHS = 7.1223281548694866 NaN 0.23055651487995915 NaN -7.5006382162209357 grid col = 1 zt level = 19 height [m] = 1663.1577150000001 LHS = 0.0000000000000000 7.1232507797051557E-003 1.6666666666666666E-002 -7.2166220763192528E-003 0.0000000000000000 grid col = 1 zm level = 20 height [m] = 1732.8945925000000 LHS = 6.8632278777678151 NaN 0.20695901806427033 NaN -7.2176630171466059 grid col = 1 zt level = 20 height [m] = 1802.6314700000000 LHS = 0.0000000000000000 6.8607334973109467E-003 1.6666666666666666E-002 -6.9542979278793037E-003 0.0000000000000000 grid col = 1 zm level = 21 height [m] = 1877.6315310000000 LHS = 6.6191059144146065 NaN 0.19159083133712837 NaN -6.9586665506204568 grid col = 1 zt level = 21 height [m] = 1952.6315920000000 LHS = 0.0000000000000000 6.6197481024449396E-003 1.6666666666666666E-002 -6.7137071327281802E-003 0.0000000000000000 grid col = 1 zm level = 22 height [m] = 2027.6315920000002 LHS = 6.3944785564350148 NaN 0.17123181165588028 NaN -6.7147687977646937 grid col = 1 zt level = 22 height [m] = 2102.6315920000002 LHS = 0.0000000000000000 6.3918004317184652E-003 1.6666666666666666E-002 -6.4863808079923231E-003 0.0000000000000000 grid col = 1 zm level = 23 height [m] = 2182.8947754999999 LHS = 6.1814302641799044 NaN 0.15867332483057559 NaN -6.4907013508074005 grid col = 1 zt level = 23 height [m] = 2263.1579590000001 LHS = 0.0000000000000000 6.1821043064899739E-003 1.6666666666666666E-002 -6.2772064066650901E-003 0.0000000000000000 grid col = 1 zm level = 24 height [m] = 2343.4211425000003 LHS = 5.9850723311036864 NaN 0.14178438436731428 NaN -6.2780211470494800 grid col = 1 zt level = 24 height [m] = 2423.6843260000001 LHS = 0.0000000000000000 5.9827173609279362E-003 1.6666666666666666E-002 -6.0780602058852747E-003 0.0000000000000000 grid col = 1 zm level = 25 height [m] = 2509.2105710000001 LHS = 5.7978973381462238 NaN 0.13173504451504961 NaN -6.0818621696111244 grid col = 1 zt level = 25 height [m] = 2594.7368160000001 LHS = 0.0000000000000000 5.7988290911169752E-003 1.6666666666666666E-002 -5.8941364872779657E-003 0.0000000000000000 grid col = 1 zm level = 26 height [m] = 2680.2631835000002 LHS = 5.6249830803725276 NaN 0.11710274350998978 NaN -5.8945428536102815 grid col = 1 zt level = 26 height [m] = 2765.7895509999998 LHS = 0.0000000000000000 5.6227729753286814E-003 1.6666666666666666E-002 -5.7180054293186882E-003 0.0000000000000000 grid col = 1 zm level = 27 height [m] = 2856.5791015000000 LHS = 5.4591002868588410 NaN 0.10888188333000776 NaN -5.7215619515309690 grid col = 1 zt level = 27 height [m] = 2947.3686520000001 LHS = 0.0000000000000000 5.4596192702975020E-003 1.6666666666666666E-002 -5.5551962817310631E-003 0.0000000000000000 grid col = 1 zm level = 28 height [m] = 3038.1580810000000 LHS = 5.3051531865605197 NaN 9.6433057619197321E-002 NaN -5.5559057746036293 grid col = 1 zt level = 28 height [m] = 3128.9475100000000 LHS = 0.0000000000000000 5.3026714281846155E-003 1.6666666666666666E-002 -5.3988916411900709E-003 0.0000000000000000 grid col = 1 zm level = 29 height [m] = 3225.0001219999999 LHS = 5.1567580945387839 NaN 8.9724099617501635E-002 NaN -5.4025859243116008 grid col = 1 zt level = 29 height [m] = 3321.0527339999999 LHS = 0.0000000000000000 5.1570146496978213E-003 1.6666666666666666E-002 -5.2541141198248842E-003 0.0000000000000000 grid col = 1 zm level = 30 height [m] = 3417.1053465000000 LHS = 5.0188766547793380 NaN 7.8560535673164608E-002 NaN -5.2549509331554436 grid col = 1 zt level = 30 height [m] = 3513.1579590000001 LHS = 0.0000000000000000 5.0167221029063088E-003 1.6666666666666666E-002 -5.1143784350499875E-003 0.0000000000000000 grid col = 1 zm level = 31 height [m] = 3614.4737550000000 LHS = 4.8858362022923139 NaN 7.3684572213372615E-002 NaN -5.1176155428861110 grid col = 1 zt level = 31 height [m] = 3715.7895509999998 LHS = 0.0000000000000000 4.8855921035389580E-003 1.6666666666666666E-002 -4.9843006825359450E-003 0.0000000000000000 grid col = 1 zm level = 32 height [m] = 3817.1053469999997 LHS = 4.7613545916976303 NaN 6.3446282723691086E-002 NaN -4.9855264862975277 grid col = 1 zt level = 32 height [m] = 3918.4211430000000 LHS = 0.0000000000000000 4.7582946265808312E-003 1.6666666666666666E-002 -4.8589318771928474E-003 0.0000000000000000 grid col = 1 zm level = 33 height [m] = 4025.0001224999996 LHS = 4.6402948138422087 NaN 5.8330025729798438E-002 NaN -4.8629631549808199 grid col = 1 zt level = 33 height [m] = 4131.5791019999997 LHS = 0.0000000000000000 4.6406132224516292E-003 1.6666666666666666E-002 -4.7425604070607903E-003 0.0000000000000000 grid col = 1 zm level = 34 height [m] = 4238.1579590000001 LHS = 4.5282931203402663 NaN 5.0075824615763972E-002 NaN -4.7430856160071047 grid col = 1 zt level = 34 height [m] = 4344.7368159999996 LHS = 0.0000000000000000 4.5257611214413913E-003 1.6666666666666666E-002 -4.6284797012128868E-003 0.0000000000000000 grid col = 1 zm level = 35 height [m] = 4456.5788570000004 LHS = 4.4188048336860968 NaN 4.6634694989072814E-002 NaN -4.6318757291945687 grid col = 1 zt level = 35 height [m] = 4568.4208980000003 LHS = 0.0000000000000000 4.4179827796192042E-003 1.6666666666666666E-002 -4.5226082267978019E-003 0.0000000000000000 grid col = 1 zm level = 36 height [m] = 4680.2629390000002 LHS = 4.3159805377353528 NaN 3.7534105430915024E-002 NaN -4.5242007898156196 grid col = 1 zt level = 36 height [m] = 4792.1049800000001 LHS = 0.0000000000000000 4.3138319796674589E-003 1.6666666666666666E-002 -4.4199170719390881E-003 0.0000000000000000 grid col = 1 zm level = 37 height [m] = 4909.2102049999994 LHS = 4.2164675377906731 NaN 3.5282346659775483E-002 NaN -4.4228247534602252 grid col = 1 zt level = 37 height [m] = 5026.3154299999997 LHS = 0.0000000000000000 4.2167256921186516E-003 1.6666666666666666E-002 -4.3231942754499040E-003 0.0000000000000000 grid col = 1 zm level = 38 height [m] = 5143.4206544999997 LHS = 4.1236310810425367 NaN 2.8019716421615291E-002 NaN -4.3236055293137587 grid col = 1 zt level = 38 height [m] = 5260.5258789999998 LHS = 0.0000000000000000 4.1217427979460645E-003 1.6666666666666666E-002 -4.2283471013234439E-003 0.0000000000000000 grid col = 1 zm level = 39 height [m] = 5382.8942870000001 LHS = 4.0326864851462689 NaN 2.6000460951758980E-002 NaN -4.2309354297333153 grid col = 1 zt level = 39 height [m] = 5505.2626950000003 LHS = 0.0000000000000000 4.0328836942521550E-003 1.6666666666666666E-002 -4.1397411161005404E-003 0.0000000000000000 grid col = 1 zm level = 40 height [m] = 5627.6313475000006 LHS = 3.9895701471085316 NaN -2.2697264801777136E-002 NaN -4.1401654753965040 grid col = 1 zt level = 40 height [m] = 5750.0000000000000 LHS = 0.0000000000000000 3.9886348644419907E-003 1.6666666666666666E-002 -4.0959217186013761E-003 0.0000000000000000 grid col = 1 zm level = 41 height [m] = 5875.0000000000000 LHS = 3.9462384689251473 NaN -2.3601079587484902E-002 NaN -4.0974967417706738 grid col = 1 zt level = 41 height [m] = 6000.0000000000000 LHS = 0.0000000000000000 3.9477937196108724E-003 1.6666666666666666E-002 -4.0541849710355850E-003 0.0000000000000000 grid col = 1 zm level = 42 height [m] = 6125.0000000000000 LHS = 3.9473473648310633 NaN -6.5681887308842238E-002 NaN -4.0532055227896775 grid col = 1 zt level = 42 height [m] = 6250.0000000000000 LHS = 0.0000000000000000 3.9476594622064780E-003 1.6666666666666666E-002 -4.0530366443179292E-003 0.0000000000000000 grid col = 1 zm level = 43 height [m] = 6375.0000000000000 LHS = 3.9472072857239966 NaN -6.6649265312818853E-002 NaN -4.0533527868040213 grid col = 1 zt level = 43 height [m] = 6500.0000000000000 LHS = 0.0000000000000000 3.9473761733008917E-003 1.6666666666666666E-002 -4.0531792467978058E-003 0.0000000000000000 grid col = 1 zm level = 44 height [m] = 6625.0000000000000 LHS = 3.9469162553059247 NaN -6.7623337559523669E-002 NaN -4.0536449135309436 grid col = 1 zt level = 44 height [m] = 6750.0000000000000 LHS = 0.0000000000000000 3.9476674493293153E-003 1.6666666666666666E-002 -4.0534728959685717E-003 0.0000000000000000 grid col = 1 zm level = 45 height [m] = 6875.0000000000000 LHS = 3.9471832850824509 NaN -6.8047264565386470E-002 NaN -4.0533510337042662 grid col = 1 zt level = 45 height [m] = 7000.0000000000000 LHS = 0.0000000000000000 3.9480104423610897E-003 1.6666666666666666E-002 -4.0531864572672157E-003 0.0000000000000000 grid col = 1 zm level = 46 height [m] = 7125.0000000000000 LHS = 3.9475055178861811 NaN -6.8379972544717393E-002 NaN -4.0530111047484372 grid col = 1 zt level = 46 height [m] = 7250.0000000000000 LHS = 0.0000000000000000 3.9476697843997804E-003 1.6666666666666666E-002 -4.0528482334650359E-003 0.0000000000000000 grid col = 1 zm level = 47 height [m] = 7375.0000000000000 LHS = 3.9471615206533346 NaN -6.9438586551969675E-002 NaN -4.0533682169858638 grid col = 1 zt level = 47 height [m] = 7500.0000000000000 LHS = 0.0000000000000000 3.9473227886967083E-003 1.6666666666666666E-002 -4.0532012158960929E-003 0.0000000000000000 grid col = 1 zm level = 48 height [m] = 7625.0000000000000 LHS = 3.9468046501934073 NaN -7.0472967848593082E-002 NaN 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3.9440180763776591E-003 1.6666666666666666E-002 -4.0565779266500263E-003 0.0000000000000000 grid col = 1 zm level = 55 height [m] = 9375.0000000000000 LHS = 3.9434952264714807 NaN -7.6117293672068570E-002 NaN -4.0571135482901086 grid col = 1 zt level = 55 height [m] = 9500.0000000000000 LHS = 0.0000000000000000 3.9436261502619925E-003 1.6666666666666666E-002 -4.0569771239885822E-003 0.0000000000000000 grid col = 1 zm level = 56 height [m] = 9625.0000000000000 LHS = 3.9430992339564543 NaN -7.6939686886061814E-002 NaN -4.0575169825831470 grid col = 1 zt level = 56 height [m] = 9750.0000000000000 LHS = 0.0000000000000000 3.9432264185021602E-003 1.6666666666666666E-002 -4.0573843235831167E-003 0.0000000000000000 grid col = 1 zm level = 57 height [m] = 9875.0000000000000 LHS = 3.9427107297447916 NaN -7.6935814752830858E-002 NaN -4.0579285294732363 grid col = 1 zt level = 57 height [m] = 10000.000000000000 LHS = 0.0000000000000000 3.9407860398176873E-003 1.6666666666666666E-002 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level = 61 height [m] = 10875.000000000000 LHS = 3.9384905615267267 NaN -8.1551910101132497E-002 NaN -4.0622932427794662 grid col = 1 zt level = 61 height [m] = 11000.000000000000 LHS = 0.0000000000000000 3.9386084919973948E-003 1.6666666666666666E-002 -4.0621699468364678E-003 0.0000000000000000 grid col = 1 zm level = 62 height [m] = 11125.000000000000 LHS = 3.9381450661139761 NaN -8.2068797388947234E-002 NaN -4.0626485312208143 grid col = 1 zt level = 62 height [m] = 11250.000000000000 LHS = 0.0000000000000000 3.9376577652800874E-003 1.6666666666666666E-002 -4.0625289044194501E-003 0.0000000000000000 grid col = 1 zm level = 63 height [m] = 11375.000000000000 LHS = 3.9372142567721764 NaN -8.2600777236147074E-002 NaN -4.0636268545742835 grid col = 1 zt level = 63 height [m] = 11500.000000000000 LHS = 0.0000000000000000 3.9343318031204175E-003 1.6666666666666666E-002 -4.0635028728847038E-003 0.0000000000000000 grid col = 1 zm level = 64 height [m] = 11625.000000000000 LHS = 3.9339502697825930 NaN -8.6969604824368010E-002 NaN -4.0670485757588501 grid col = 1 zt level = 64 height [m] = 11750.000000000000 LHS = 0.0000000000000000 3.9340978236297635E-003 1.6666666666666666E-002 -4.0668842655195523E-003 0.0000000000000000 grid col = 1 zm level = 65 height [m] = 11875.000000000000 LHS = 3.9337123378453995 NaN -8.6366524690866975E-002 NaN -4.0672805466035689 grid col = 1 zt level = 65 height [m] = 12000.000000000000 LHS = 0.0000000000000000 3.9338565422900916E-003 1.6666666666666666E-002 -4.0671299068759338E-003 0.0000000000000000 grid col = 1 zm level = 66 height [m] = 12125.000000000000 LHS = 3.9334670382471710 NaN -8.6941827383924600E-002 NaN -4.0675303569629184 grid col = 1 zt level = 66 height [m] = 12250.000000000000 LHS = 0.0000000000000000 3.9336078231117563E-003 1.6666666666666666E-002 -4.0673831973884068E-003 0.0000000000000000 grid col = 1 zm level = 67 height [m] = 12375.000000000000 LHS = 3.9332142321034760 NaN -8.7531687700306518E-002 NaN 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13250.000000000000 LHS = 0.0000000000000000 3.9240457929965566E-003 1.6666666666666666E-002 -4.0720924332183148E-003 0.0000000000000000 grid col = 1 zm level = 71 height [m] = 13375.000000000000 LHS = 3.9238574206550312 NaN -9.8669182705869191E-002 NaN -4.0776764869251130 grid col = 1 zt level = 71 height [m] = 13500.000000000000 LHS = 0.0000000000000000 3.9241380096469948E-003 1.6666666666666666E-002 -4.0773751499120544E-003 0.0000000000000000 grid col = 1 zm level = 72 height [m] = 13625.000000000000 LHS = 3.9239441080161290 NaN -9.7167360796582170E-002 NaN -4.0775735261825226 grid col = 1 zt level = 72 height [m] = 13750.000000000000 LHS = 0.0000000000000000 3.9242200815447995E-003 1.6666666666666666E-002 -4.0772846162764002E-003 0.0000000000000000 grid col = 1 zm level = 73 height [m] = 13875.000000000000 LHS = 3.9240207008391823 NaN -9.7190475897820955E-002 NaN -4.0774887036810927 grid col = 1 zt level = 73 height [m] = 14000.000000000000 LHS = 0.0000000000000000 3.9242921014641273E-003 1.6666666666666666E-002 -4.0772045774115102E-003 0.0000000000000000 grid col = 1 zm level = 74 height [m] = 14125.000000000000 LHS = 3.9240872873888413 NaN -9.7231393669521674E-002 NaN -4.0774143267039458 grid col = 1 zt level = 74 height [m] = 14250.000000000000 LHS = 0.0000000000000000 3.9243541532775735E-003 1.6666666666666666E-002 -4.0771349403466682E-003 0.0000000000000000 grid col = 1 zm level = 75 height [m] = 14375.000000000000 LHS = 3.9241439471337181 NaN -9.7290008864900912E-002 NaN -4.0773503069933081 grid col = 1 zt level = 75 height [m] = 14500.000000000000 LHS = 0.0000000000000000 3.9244063121597486E-003 1.6666666666666666E-002 -4.0770756214234009E-003 0.0000000000000000 grid col = 1 zm level = 76 height [m] = 14625.000000000000 LHS = 3.9241907509397445 NaN -9.7366232003128023E-002 NaN -4.0772965654973143 grid col = 1 zt level = 76 height [m] = 14750.000000000000 LHS = 0.0000000000000000 3.9244486447706480E-003 1.6666666666666666E-002 -4.0770265460887663E-003 0.0000000000000000 grid col = 1 zm level = 77 height [m] = 14875.000000000000 LHS = 3.9242277612437237 NaN -9.7459989084902471E-002 NaN -4.0772530321740961 grid col = 1 zt level = 77 height [m] = 15000.000000000000 LHS = 0.0000000000000000 3.9244812094196462E-003 1.6666666666666666E-002 -4.0769876487099822E-003 0.0000000000000000 grid col = 1 zm level = 78 height [m] = 15125.000000000000 LHS = 3.9242847699630898 NaN -9.0466802013612430E-002 NaN -4.0772196458167640 grid col = 1 zt level = 78 height [m] = 15250.000000000000 LHS = 0.0000000000000000 3.8590781350710691E-003 1.6666666666666666E-002 -4.0769588724095260E-003 0.0000000000000000 grid col = 1 zm level = 79 height [m] = 15375.000000000000 LHS = 3.8614761238118831 NaN -0.16891857054332607 NaN -4.1462887843142182 grid col = 1 zt level = 79 height [m] = 15500.000000000000 LHS = 0.0000000000000000 3.9216368793066570E-003 1.6666666666666666E-002 -4.1432765995963574E-003 0.0000000000000000 grid col = 1 zm level 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level = 86 height [m] = 17250.000000000000 LHS = 0.0000000000000000 3.9225119985448701E-003 1.6666666666666666E-002 -4.0780594545819348E-003 0.0000000000000000 grid col = 1 zm level = 87 height [m] = 17375.000000000000 LHS = 3.9223927138635637 NaN -9.7914735469220318E-002 NaN -4.0792591513558865 grid col = 1 zt level = 87 height [m] = 17500.000000000000 LHS = 0.0000000000000000 3.9216389211004970E-003 1.6666666666666666E-002 -4.0789040975532116E-003 0.0000000000000000 grid col = 1 zm level = 88 height [m] = 17625.000000000000 LHS = 3.9215429979458221 NaN -9.8861077934896235E-002 NaN -4.0801656167566902 grid col = 1 zt level = 88 height [m] = 17750.000000000000 LHS = 0.0000000000000000 3.9207182646166620E-003 1.6666666666666666E-002 -4.0797896473641184E-003 0.0000000000000000 grid col = 1 zm level = 89 height [m] = 17875.000000000000 LHS = 3.9206448049443416 NaN -0.10069688805963110 NaN -4.0811219769834279 grid col = 1 zt level = 89 height [m] = 18000.000000000000 LHS = 0.0000000000000000 3.9233421550875737E-003 1.6666666666666666E-002 -4.0807226404868217E-003 0.0000000000000000 grid col = 1 zm level = 90 height [m] = 18125.000000000000 LHS = 3.9232013383803817 NaN -9.6227182211462897E-002 NaN -4.0783942227438548 grid col = 1 zt level = 90 height [m] = 18250.000000000000 LHS = 0.0000000000000000 3.9225104927710858E-003 1.6666666666666666E-002 -4.0780616608249208E-003 0.0000000000000000 grid col = 1 zm level = 91 height [m] = 18375.000000000000 LHS = 3.9223909191542776 NaN -9.7926183028557101E-002 NaN -4.0792607346092700 grid col = 1 zt level = 91 height [m] = 18500.000000000000 LHS = 0.0000000000000000 3.9216376745987774E-003 1.6666666666666666E-002 -4.0789059462207457E-003 0.0000000000000000 grid col = 1 zm level = 92 height [m] = 18625.000000000000 LHS = 3.9215414428018764 NaN -9.8872554902273285E-002 NaN -4.0801669313054054 grid col = 1 zt level = 92 height [m] = 18750.000000000000 LHS = 0.0000000000000000 3.9207177069936509E-003 1.6666666666666666E-002 -4.0797912470646779E-003 0.0000000000000000 grid col = 1 zm level = 93 height [m] = 18875.000000000000 LHS = 3.9206439012975078 NaN -0.10070865197087855 NaN -4.0811225756227163 grid col = 1 zt level = 93 height [m] = 19000.000000000000 LHS = 0.0000000000000000 3.9233453453733297E-003 1.6666666666666666E-002 -4.0807235565108006E-003 0.0000000000000000 grid col = 1 zm level = 94 height [m] = 19125.000000000000 LHS = 3.9232040854270593 NaN -9.6234027532381347E-002 NaN -4.0783909308810200 grid col = 1 zt level = 94 height [m] = 19250.000000000000 LHS = 0.0000000000000000 3.9225144744082820E-003 1.6666666666666666E-002 -4.0780587740710224E-003 0.0000000000000000 grid col = 1 zm level = 95 height [m] = 19375.000000000000 LHS = 3.9223944169272071 NaN -9.7933218975684744E-002 NaN -4.0792566251439180 grid col = 1 zt level = 95 height [m] = 19500.000000000000 LHS = 0.0000000000000000 3.9216424291798006E-003 1.6666666666666666E-002 -4.0789022766824969E-003 0.0000000000000000 grid col = 1 zm level = 96 height [m] = 19625.000000000000 LHS = 3.9215456716135608 NaN -9.8878961891637571E-002 NaN -4.0801620167332420 grid col = 1 zt level = 96 height [m] = 19750.000000000000 LHS = 0.0000000000000000 3.9207229282091612E-003 1.6666666666666666E-002 -4.0797868149918216E-003 0.0000000000000000 grid col = 1 zm level = 97 height [m] = 19875.000000000000 LHS = 3.9206506788418833 NaN -0.10017626063747856 NaN -4.0811171734268319 grid col = 1 zt level = 97 height [m] = 20000.000000000000 LHS = 0.0000000000000000 3.9211241452657515E-003 1.6666666666666666E-002 -4.0807186740616334E-003 0.0000000000000000 grid col = 1 zm level = 98 height [m] = 20125.000000000000 LHS = 3.9210428970673736 NaN -9.9139669331829244E-002 NaN -4.0806990463937627 grid col = 1 zt level = 98 height [m] = 20250.000000000000 LHS = 0.0000000000000000 3.9203623551575389E-003 1.6666666666666666E-002 -4.0803108584475988E-003 0.0000000000000000 grid col = 1 zm level = 99 height [m] = 20375.000000000000 LHS = 3.9203031104274295 NaN -0.10021082257267450 NaN -4.0814916176324152 grid col = 1 zt level = 99 height [m] = 20500.000000000000 LHS = 0.0000000000000000 3.9195603110470292E-003 1.6666666666666666E-002 -4.0810822980149961E-003 0.0000000000000000 grid col = 1 zm level = 100 height [m] = 20625.000000000000 LHS = 3.9195251832571474 NaN -0.10105766974707180 NaN -4.0823253384018416 grid col = 1 zt level = 100 height [m] = 20750.000000000000 LHS = 0.0000000000000000 3.9187118258961016E-003 1.6666666666666666E-002 -4.0818937868123996E-003 0.0000000000000000 grid col = 1 zm level = 101 height [m] = 20875.000000000000 LHS = 3.9187003182811191 NaN -0.10276247891155714 NaN -4.0832077524733386 grid col = 1 zt level = 101 height [m] = 21000.000000000000 LHS = 0.0000000000000000 3.9214428018314431E-003 1.6666666666666666E-002 -4.0827515160068474E-003 0.0000000000000000 grid col = 1 zm level = 102 height [m] = 21125.000000000000 LHS = 3.9213606515384845 NaN -9.8063132277605269E-002 NaN -4.0803656060693498 grid col = 1 zt level = 102 height [m] = 21250.000000000000 LHS = 0.0000000000000000 3.9206865521439014E-003 1.6666666666666666E-002 -4.0799800735663331E-003 0.0000000000000000 grid col = 1 zm level = 103 height [m] = 21375.000000000000 LHS = 3.9206261885086731 NaN -9.9627306624275019E-002 NaN -4.0811542742957352 grid col = 1 zt level = 103 height [m] = 21500.000000000000 LHS = 0.0000000000000000 3.9198903632692303E-003 1.6666666666666666E-002 -4.0807458450782879E-003 0.0000000000000000 grid col = 1 zm level = 104 height [m] = 21625.000000000000 LHS = 3.9198538718685239 NaN -0.10046632312794507 NaN -4.0819817618044736 grid col = 1 zt level = 104 height [m] = 21750.000000000000 LHS = 0.0000000000000000 3.9190487244222779E-003 1.6666666666666666E-002 -4.0815513556051782E-003 0.0000000000000000 grid col = 1 zm level = 105 height [m] = 21875.000000000000 LHS = 3.9190355094908376 NaN -0.10217252524876673 NaN -4.0828568973353523 grid col = 1 zt level = 105 height [m] = 22000.000000000000 LHS = 0.0000000000000000 3.9218226924440346E-003 1.6666666666666666E-002 -4.0824021119548913E-003 0.0000000000000000 grid col = 1 zm level = 106 height [m] = 22125.000000000000 LHS = 3.9217379471038325 NaN -9.7412306253321812E-002 NaN -4.0799705682912446 grid col = 1 zt level = 106 height [m] = 22250.000000000000 LHS = 0.0000000000000000 3.9210749261584478E-003 1.6666666666666666E-002 -4.0795872845413757E-003 0.0000000000000000 grid col = 1 zm level = 107 height [m] = 22375.000000000000 LHS = 3.9210115948938995 NaN -9.8975540139914359E-002 NaN -4.0807503143961146 grid col = 1 zt level = 107 height [m] = 22500.000000000000 LHS = 0.0000000000000000 3.9202885778601192E-003 1.6666666666666666E-002 -4.0803444629073371E-003 0.0000000000000000 grid col = 1 zm level = 108 height [m] = 22625.000000000000 LHS = 3.9202486823509597 NaN -9.9802589860213828E-002 NaN -4.0815673979065288 grid col = 1 zt level = 108 height [m] = 22750.000000000000 LHS = 0.0000000000000000 3.9194570074321282E-003 1.6666666666666666E-002 -4.0811400194410239E-003 0.0000000000000000 grid col = 1 zm level = 109 height [m] = 22875.000000000000 LHS = 3.9194399680787311 NaN -0.10147631024127692 NaN -4.0824318740977121 grid col = 1 zt level = 109 height [m] = 23000.000000000000 LHS = 0.0000000000000000 3.9221427067582136E-003 1.6666666666666666E-002 -4.0819806080020669E-003 0.0000000000000000 grid col = 1 zm level = 110 height [m] = 23125.000000000000 LHS = 3.9220567593279507 NaN -9.6861538333698205E-002 NaN -4.0796379051948612 grid col = 1 zt level = 110 height [m] = 23250.000000000000 LHS = 0.0000000000000000 3.9214007172247781E-003 1.6666666666666666E-002 -4.0792554960577179E-003 0.0000000000000000 grid col = 1 zm level = 111 height [m] = 23375.000000000000 LHS = 3.9213359506742504 NaN -9.8398893624164999E-002 NaN -4.0804114556252697 grid col = 1 zt level = 111 height [m] = 23500.000000000000 LHS = 0.0000000000000000 3.9206203892056127E-003 1.6666666666666666E-002 -4.0800067812607104E-003 0.0000000000000000 grid col = 1 zm level = 112 height [m] = 23625.000000000000 LHS = 3.9205787986139486 NaN -9.9218272990997655E-002 NaN -4.0812221386446739 grid col = 1 zt level = 112 height [m] = 23750.000000000000 LHS = 0.0000000000000000 3.9197963348651657E-003 1.6666666666666666E-002 -4.0807962072453166E-003 0.0000000000000000 grid col = 1 zm level = 113 height [m] = 23875.000000000000 LHS = 3.9197774264929000 NaN -0.10083826989367685 NaN -4.0820786442620642 grid col = 1 zt level = 113 height [m] = 24000.000000000000 LHS = 0.0000000000000000 3.9223000220248317E-003 1.6666666666666666E-002 -4.0816291596718979E-003 0.0000000000000000 grid col = 1 zm level = 114 height [m] = 24125.000000000000 LHS = 3.9222172577775822 NaN -9.6508697546862074E-002 NaN -4.0794743050641653 grid col = 1 zt level = 114 height [m] = 24250.000000000000 LHS = 0.0000000000000000 3.9215560488771823E-003 1.6666666666666666E-002 -4.0790887114322740E-003 0.0000000000000000 grid col = 1 zm level = 115 height [m] = 24375.000000000000 LHS = 3.9214946382147722 NaN -9.8006974335867789E-002 NaN -4.0802496918528020 grid col = 1 zt level = 115 height [m] = 24500.000000000000 LHS = 0.0000000000000000 3.9207734309293129E-003 1.6666666666666666E-002 -4.0798418239395822E-003 0.0000000000000000 grid col = 1 zm level = 116 height [m] = 24625.000000000000 LHS = 3.9207353812265464 NaN -9.8825735221517344E-002 NaN -4.0810626894255329 grid col = 1 zt level = 116 height [m] = 24750.000000000000 LHS = 0.0000000000000000 3.9199460045176923E-003 1.6666666666666666E-002 -4.0806333817733666E-003 0.0000000000000000 grid col = 1 zm level = 117 height [m] = 24875.000000000000 LHS = 3.9199250480788157 NaN -0.10197839499927007 NaN -4.0819226346041910 grid col = 1 zt level = 117 height [m] = 25000.000000000000 LHS = 0.0000000000000000 3.9280009627608685E-003 1.6666666666666666E-002 -4.0814695565635235E-003 0.0000000000000000 grid col = 1 zm level = 118 height [m] = 25125.000000000000 LHS = 3.9277757482138229 NaN -8.9288240887580764E-002 NaN -4.0735594018309369 grid col = 1 zt level = 118 height [m] = 25250.000000000000 LHS = 0.0000000000000000 3.9274675068198504E-003 1.6666666666666666E-002 -4.0733032158270866E-003 0.0000000000000000 grid col = 1 zm level = 119 height [m] = 25375.000000000000 LHS = 3.9272520482222979 NaN -9.1800405445107369E-002 NaN -4.0741211444698395 grid col = 1 zt level = 119 height [m] = 25500.000000000000 LHS = 0.0000000000000000 3.9269195440143198E-003 1.6666666666666666E-002 -4.0738475693367160E-003 0.0000000000000000 grid col = 1 zm level = 120 height [m] = 25625.000000000000 LHS = 3.9267146013492211 NaN -9.2449868191397361E-002 NaN -4.0746884701436610 grid col = 1 zt level = 120 height [m] = 25750.000000000000 LHS = 0.0000000000000000 3.9263572527114847E-003 1.6666666666666666E-002 -4.0744063558093213E-003 0.0000000000000000 grid col = 1 zm level = 121 height [m] = 25875.000000000000 LHS = 3.9261636218988509 NaN -9.3107031966906784E-002 NaN -4.0752708021572488 grid col = 1 zt level = 121 height [m] = 26000.000000000000 LHS = 0.0000000000000000 3.9257788930653998E-003 1.6666666666666666E-002 -4.0749793641083462E-003 0.0000000000000000 grid col = 1 zm level = 122 height [m] = 26125.000000000000 LHS = 3.9255974560118494 NaN -9.3773797676593218E-002 NaN -4.0758699602042867 grid col = 1 zt level = 122 height [m] = 26250.000000000000 LHS = 0.0000000000000000 3.9251820123929852E-003 1.6666666666666666E-002 -4.0755683256745966E-003 0.0000000000000000 grid col = 1 zm level = 123 height [m] = 26375.000000000000 LHS = 3.9250137577693911 NaN -9.4453098624633164E-002 NaN -4.0764885038221088 grid col = 1 zt level = 123 height [m] = 26500.000000000000 LHS = 0.0000000000000000 3.9245658559503268E-003 1.6666666666666666E-002 -4.0761756912466992E-003 0.0000000000000000 grid col = 1 zm level = 124 height [m] = 26625.000000000000 LHS = 3.9244118446924356 NaN -9.5144699626306409E-002 NaN -4.0771272339617664 grid col = 1 zt level = 124 height [m] = 26750.000000000000 LHS = 0.0000000000000000 3.9239277239810268E-003 1.6666666666666666E-002 -4.0768021866033717E-003 0.0000000000000000 grid col = 1 zm level = 125 height [m] = 26875.000000000000 LHS = 3.9237891425436988 NaN -9.5851878749153741E-002 NaN -4.0777889747143261 grid col = 1 zt level = 125 height [m] = 27000.000000000000 LHS = 0.0000000000000000 3.9232651363892267E-003 1.6666666666666666E-002 -4.0774505061519284E-003 0.0000000000000000 grid col = 1 zm level = 126 height [m] = 27125.000000000000 LHS = 3.9232252822720217 NaN 0.11364710177658396 NaN -4.0784763248063847 grid col = 1 zt level = 126 height [m] = 27250.000000000000 LHS = 0.0000000000000000 3.9225748783417178E-003 1.6666666666666666E-002 -4.0781231170703876E-003 0.0000000000000000 grid col = 1 zm level = 127 height [m] = 27375.000000000000 LHS = 3.9225528091470343 NaN 7.3483323299945296 NaN -4.0791074177418354 grid col = 1 zt level = 127 height [m] = 27500.000000000000 LHS = 0.0000000000000000 3.9228221184285789E-003 1.6666666666666666E-002 -4.0788232265870084E-003 0.0000000000000000 grid col = 1 zm level = 128 height [m] = 27625.000000000000 LHS = 0.0000000000000000 0.0000000000000000 1.0000000000000000 0.0000000000000000 0.0000000000000000 rtm and wprtp RHS grid col = 1 zm level = 1 height [m] = 0.0000000000000000 RHS = 5.0941482395138665E-005 grid col = 1 zt level = 1 height [m] = 25.000000000000000 RHS = 2.3845000000000000E-004 grid col = 1 zm level = 2 height [m] = 37.500000000000000 RHS = -4.2225865585616019E-004 grid col = 1 zt level = 2 height [m] = 50.000000000000000 RHS = 2.3845000000000000E-004 grid col = 1 zm level = 3 height [m] = 77.631576550000005 RHS = 0.0000000000000000 grid col = 1 zt level = 3 height [m] = 105.26315310000000 RHS = 2.3563106434696315E-004 grid col = 1 zm level = 4 height [m] = 132.89472964999999 RHS = 0.0000000000000000 grid col = 1 zt level = 4 height [m] = 160.52630619999999 RHS = 2.3226024862150083E-004 grid col = 1 zm level = 5 height [m] = 193.42102814999998 RHS = 0.0000000000000000 grid col = 1 zt level = 5 height [m] = 226.31575010000000 RHS = 2.2824737422639970E-004 grid col = 1 zm level = 6 height [m] = 259.21047210000000 RHS = 0.0000000000000000 grid col = 1 zt level = 6 height [m] = 292.10519410000001 RHS = 2.2423449982519902E-004 grid col = 1 zm level = 7 height [m] = 330.26307680000002 RHS = 0.0000000000000000 grid col = 1 zt level = 7 height [m] = 368.42095949999998 RHS = 2.1957956488789061E-004 grid col = 1 zm level = 8 height [m] = 406.57884220000000 RHS = 0.0000000000000000 grid col = 1 zt level = 8 height [m] = 444.73672490000001 RHS = 2.1492462995058217E-004 grid col = 1 zm level = 9 height [m] = 488.15776065000000 RHS = 0.0000000000000000 grid col = 1 zt level = 9 height [m] = 531.57879639999999 RHS = 2.0971213060739705E-004 grid col = 1 zm level = 10 height [m] = 574.99984740000002 RHS = 0.0000000000000000 grid col = 1 zt level = 10 height [m] = 618.42089840000006 RHS = 2.0542379280518512E-004 grid col = 1 zm level = 11 height [m] = 667.10510250000004 RHS = 0.0000000000000000 grid col = 1 zt level = 11 height [m] = 715.78930660000003 RHS = 2.0061565693549761E-004 grid col = 1 zm level = 12 height [m] = 764.47351070000002 RHS = 0.0000000000000000 grid col = 1 zt level = 12 height [m] = 813.15771480000001 RHS = 1.9580752106581009E-004 grid col = 1 zm level = 13 height [m] = 867.10510249999993 RHS = 0.0000000000000000 grid col = 1 zt level = 13 height [m] = 921.05249019999997 RHS = 1.9047958411641441E-004 grid col = 1 zm level = 14 height [m] = 974.99987809999993 RHS = 0.0000000000000000 grid col = 1 zt level = 14 height [m] = 1028.9472659999999 RHS = 1.8486310954428403E-004 grid col = 1 zm level = 15 height [m] = 1088.1578370000000 RHS = 0.0000000000000000 grid col = 1 zt level = 15 height [m] = 1147.3684080000000 RHS = 1.7733493177703318E-004 grid col = 1 zm level = 16 height [m] = 1206.5789184999999 RHS = 0.0000000000000000 grid col = 1 zt level = 16 height [m] = 1265.7894289999999 RHS = 1.6980676170190131E-004 grid col = 1 zm level = 17 height [m] = 1330.2631225000000 RHS = 0.0000000000000000 grid col = 1 zt level = 17 height [m] = 1394.7368160000001 RHS = 1.6160941758273638E-004 grid col = 1 zm level = 18 height [m] = 1459.2104490000002 RHS = 0.0000000000000000 grid col = 1 zt level = 18 height [m] = 1523.6840820000000 RHS = 1.5335976684096366E-004 grid col = 1 zm level = 19 height [m] = 1593.4208985000000 RHS = 0.0000000000000000 grid col = 1 zt level = 19 height [m] = 1663.1577150000001 RHS = 1.4362977635957501E-004 grid col = 1 zm level = 20 height [m] = 1732.8945925000000 RHS = 0.0000000000000000 grid col = 1 zt level = 20 height [m] = 1802.6314700000000 RHS = 1.3389977736719534E-004 grid col = 1 zm level = 21 height [m] = 1877.6315310000000 RHS = 0.0000000000000000 grid col = 1 zt level = 21 height [m] = 1952.6315920000000 RHS = 1.2343543562837270E-004 grid col = 1 zm level = 22 height [m] = 2027.6315920000002 RHS = 0.0000000000000000 grid col = 1 zt level = 22 height [m] = 2102.6315920000002 RHS = 1.1367199867597731E-004 grid col = 1 zm level = 23 height [m] = 2182.8947754999999 RHS = 0.0000000000000000 grid col = 1 zt level = 23 height [m] = 2263.1579590000001 RHS = 1.0452009545129689E-004 grid col = 1 zm level = 24 height [m] = 2343.4211425000003 RHS = 0.0000000000000000 grid col = 1 zt level = 24 height [m] = 2423.6843260000001 RHS = 9.5368192226616473E-005 grid col = 1 zm level = 25 height [m] = 2509.2105710000001 RHS = 0.0000000000000000 grid col = 1 zt level = 25 height [m] = 2594.7368160000001 RHS = 8.5616175383049475E-005 grid col = 1 zm level = 26 height [m] = 2680.2631835000002 RHS = 0.0000000000000000 grid col = 1 zt level = 26 height [m] = 2765.7895509999998 RHS = 7.9442489212563894E-005 grid col = 1 zm level = 27 height [m] = 2856.5791015000000 RHS = 0.0000000000000000 grid col = 1 zt level = 27 height [m] = 2947.3686520000001 RHS = 7.3245940351696461E-005 grid col = 1 zm level = 28 height [m] = 3038.1580810000000 RHS = 0.0000000000000000 grid col = 1 zt level = 28 height [m] = 3128.9475100000000 RHS = 6.7049399783420874E-005 grid col = 1 zm level = 29 height [m] = 3225.0001219999999 RHS = 0.0000000000000000 grid col = 1 zt level = 29 height [m] = 3321.0527339999999 RHS = 6.1440173380527161E-005 grid col = 1 zm level = 30 height [m] = 3417.1053465000000 RHS = 0.0000000000000000 grid col = 1 zt level = 30 height [m] = 3513.1579590000001 RHS = 5.6437321136681112E-005 grid col = 1 zm level = 31 height [m] = 3614.4737550000000 RHS = 0.0000000000000000 grid col = 1 zt level = 31 height [m] = 3715.7895509999998 RHS = 5.1160338614673727E-005 grid col = 1 zm level = 32 height [m] = 3817.1053469999997 RHS = 0.0000000000000000 grid col = 1 zt level = 32 height [m] = 3918.4211430000000 RHS = 4.6880881264010773E-005 grid col = 1 zm level = 33 height [m] = 4025.0001224999996 RHS = 0.0000000000000000 grid col = 1 zt level = 33 height [m] = 4131.5791019999997 RHS = 4.3892039725381438E-005 grid col = 1 zm level = 34 height [m] = 4238.1579590000001 RHS = 0.0000000000000000 grid col = 1 zt level = 34 height [m] = 4344.7368159999996 RHS = 4.0903201622073872E-005 grid col = 1 zm level = 35 height [m] = 4456.5788570000004 RHS = 0.0000000000000000 grid col = 1 zt level = 35 height [m] = 4568.4208980000003 RHS = 3.7943140971401144E-005 grid col = 1 zm level = 36 height [m] = 4680.2629390000002 RHS = 0.0000000000000000 grid col = 1 zt level = 36 height [m] = 4792.1049800000001 RHS = 3.5481821073070057E-005 grid col = 1 zm level = 37 height [m] = 4909.2102049999994 RHS = 0.0000000000000000 grid col = 1 zt level = 37 height [m] = 5026.3154299999997 RHS = 3.2904673714939863E-005 grid col = 1 zm level = 38 height [m] = 5143.4206544999997 RHS = 0.0000000000000000 grid col = 1 zt level = 38 height [m] = 5260.5258789999998 RHS = 3.0372055852806890E-005 grid col = 1 zm level = 39 height [m] = 5382.8942870000001 RHS = 0.0000000000000000 grid col = 1 zt level = 39 height [m] = 5505.2626950000003 RHS = 2.8122163358176418E-005 grid col = 1 zm level = 40 height [m] = 5627.6313475000006 RHS = 0.0000000000000000 grid col = 1 zt level = 40 height [m] = 5750.0000000000000 RHS = 2.5872266368115122E-005 grid col = 1 zm level = 41 height [m] = 5875.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 41 height [m] = 6000.0000000000000 RHS = 2.3573988843504285E-005 grid col = 1 zm level = 42 height [m] = 6125.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 42 height [m] = 6250.0000000000000 RHS = 2.0904157919498667E-005 grid col = 1 zm level = 43 height [m] = 6375.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 43 height [m] = 6500.0000000000000 RHS = 1.8196312482115355E-005 grid col = 1 zm level = 44 height [m] = 6625.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 44 height [m] = 6750.0000000000000 RHS = 1.5488467044732043E-005 grid col = 1 zm level = 45 height [m] = 6875.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 45 height [m] = 7000.0000000000000 RHS = 1.3207312163944729E-005 grid col = 1 zm level = 46 height [m] = 7125.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 46 height [m] = 7250.0000000000000 RHS = 1.1410490105072843E-005 grid col = 1 zm level = 47 height [m] = 7375.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 47 height [m] = 7500.0000000000000 RHS = 9.6136680462009580E-006 grid col = 1 zm level = 48 height [m] = 7625.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 48 height [m] = 7750.0000000000000 RHS = 7.8168459873290718E-006 grid col = 1 zm level = 49 height [m] = 7875.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 49 height [m] = 8000.0000000000000 RHS = 6.6422718167832575E-006 grid col = 1 zm level = 50 height [m] = 8125.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 50 height [m] = 8250.0000000000000 RHS = 5.7549455248754858E-006 grid col = 1 zm level = 51 height [m] = 8375.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 51 height [m] = 8500.0000000000000 RHS = 4.8676192329677141E-006 grid col = 1 zm level = 52 height [m] = 8625.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 52 height [m] = 8750.0000000000000 RHS = 3.9802929410599423E-006 grid col = 1 zm level = 53 height [m] = 8875.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 53 height [m] = 9000.0000000000000 RHS = 3.3118466290910720E-006 grid col = 1 zm level = 54 height [m] = 9125.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 54 height [m] = 9250.0000000000000 RHS = 2.8851030893066791E-006 grid col = 1 zm level = 55 height [m] = 9375.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 55 height [m] = 9500.0000000000000 RHS = 2.4583595495222858E-006 grid col = 1 zm level = 56 height [m] = 9625.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 56 height [m] = 9750.0000000000000 RHS = 2.0316160097378929E-006 grid col = 1 zm level = 57 height [m] = 9875.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 57 height [m] = 10000.000000000000 RHS = 1.6048724699534995E-006 grid col = 1 zm level = 58 height [m] = 10125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 58 height [m] = 10250.000000000000 RHS = 1.3559074829007594E-006 grid col = 1 zm level = 59 height [m] = 10375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 59 height [m] = 10500.000000000000 RHS = 1.1787547685677667E-006 grid col = 1 zm level = 60 height [m] = 10625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 60 height [m] = 10750.000000000000 RHS = 1.0016020542347739E-006 grid col = 1 zm level = 61 height [m] = 10875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 61 height [m] = 11000.000000000000 RHS = 8.2444933990178107E-007 grid col = 1 zm level = 62 height [m] = 11125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 62 height [m] = 11250.000000000000 RHS = 6.4729662556878820E-007 grid col = 1 zm level = 63 height [m] = 11375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 63 height [m] = 11500.000000000000 RHS = 4.9099249285314971E-007 grid col = 1 zm level = 64 height [m] = 11625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 64 height [m] = 11750.000000000000 RHS = 4.3923418252628457E-007 grid col = 1 zm level = 65 height [m] = 11875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 65 height [m] = 12000.000000000000 RHS = 3.8747587219941949E-007 grid col = 1 zm level = 66 height [m] = 12125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 66 height [m] = 12250.000000000000 RHS = 3.3571756187255441E-007 grid col = 1 zm level = 67 height [m] = 12375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 67 height [m] = 12500.000000000000 RHS = 2.8395925154568927E-007 grid col = 1 zm level = 68 height [m] = 12625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 68 height [m] = 12750.000000000000 RHS = 2.3220094121882421E-007 grid col = 1 zm level = 69 height [m] = 12875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 69 height [m] = 13000.000000000000 RHS = 1.8044263089195913E-007 grid col = 1 zm level = 70 height [m] = 13125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 70 height [m] = 13250.000000000000 RHS = 1.4688262929338062E-007 grid col = 1 zm level = 71 height [m] = 13375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 71 height [m] = 13500.000000000000 RHS = 1.3944254022855377E-007 grid col = 1 zm level = 72 height [m] = 13625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 72 height [m] = 13750.000000000000 RHS = 1.3200245116372690E-007 grid col = 1 zm level = 73 height [m] = 13875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 73 height [m] = 14000.000000000000 RHS = 1.2456236209890006E-007 grid col = 1 zm level = 74 height [m] = 14125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 74 height [m] = 14250.000000000000 RHS = 1.1712227303407320E-007 grid col = 1 zm level = 75 height [m] = 14375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 75 height [m] = 14500.000000000000 RHS = 1.0968218396924635E-007 grid col = 1 zm level = 76 height [m] = 14625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 76 height [m] = 14750.000000000000 RHS = 1.0224209490441948E-007 grid col = 1 zm level = 77 height [m] = 14875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 77 height [m] = 15000.000000000000 RHS = 9.4802005839592632E-008 grid col = 1 zm level = 78 height [m] = 15125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 78 height [m] = 15250.000000000000 RHS = 8.7361916774765775E-008 grid col = 1 zm level = 79 height [m] = 15375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 79 height [m] = 15500.000000000000 RHS = 6.1331563333333338E-008 grid col = 1 zm level = 80 height [m] = 15625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 80 height [m] = 15750.000000000000 RHS = 6.1196393333333336E-008 grid col = 1 zm level = 81 height [m] = 15875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 81 height [m] = 16000.000000000000 RHS = 6.1061223333333334E-008 grid col = 1 zm level = 82 height [m] = 16125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 82 height [m] = 16250.000000000000 RHS = 6.1022013333333335E-008 grid col = 1 zm level = 83 height [m] = 16375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 83 height [m] = 16500.000000000000 RHS = 6.0982806666666673E-008 grid col = 1 zm level = 84 height [m] = 16625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 84 height [m] = 16750.000000000000 RHS = 6.0943595000000006E-008 grid col = 1 zm level = 85 height [m] = 16875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 85 height [m] = 17000.000000000000 RHS = 6.0904383333333326E-008 grid col = 1 zm level = 86 height [m] = 17125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 86 height [m] = 17250.000000000000 RHS = 6.0755095000000004E-008 grid col = 1 zm level = 87 height [m] = 17375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 87 height [m] = 17500.000000000000 RHS = 6.0605799999999996E-008 grid col = 1 zm level = 88 height [m] = 17625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 88 height [m] = 17750.000000000000 RHS = 6.0456508333333338E-008 grid col = 1 zm level = 89 height [m] = 17875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 89 height [m] = 18000.000000000000 RHS = 6.0307216666666666E-008 grid col = 1 zm level = 90 height [m] = 18125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 90 height [m] = 18250.000000000000 RHS = 6.2858691666666663E-008 grid col = 1 zm level = 91 height [m] = 18375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 91 height [m] = 18500.000000000000 RHS = 6.5410176666666669E-008 grid col = 1 zm level = 92 height [m] = 18625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 92 height [m] = 18750.000000000000 RHS = 6.7961649999999998E-008 grid col = 1 zm level = 93 height [m] = 18875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 93 height [m] = 19000.000000000000 RHS = 7.0513133333333336E-008 grid col = 1 zm level = 94 height [m] = 19125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 94 height [m] = 19250.000000000000 RHS = 7.3505033333333335E-008 grid col = 1 zm level = 95 height [m] = 19375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 95 height [m] = 19500.000000000000 RHS = 7.6496933333333334E-008 grid col = 1 zm level = 96 height [m] = 19625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 96 height [m] = 19750.000000000000 RHS = 7.9488833333333333E-008 grid col = 1 zm level = 97 height [m] = 19875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 97 height [m] = 20000.000000000000 RHS = 8.2480740000000006E-008 grid col = 1 zm level = 98 height [m] = 20125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 98 height [m] = 20250.000000000000 RHS = 8.8273799999999989E-008 grid col = 1 zm level = 99 height [m] = 20375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 99 height [m] = 20500.000000000000 RHS = 9.4066861666666668E-008 grid col = 1 zm level = 100 height [m] = 20625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 100 height [m] = 20750.000000000000 RHS = 9.9859933333333330E-008 grid col = 1 zm level = 101 height [m] = 20875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 101 height [m] = 21000.000000000000 RHS = 1.0565299999999999E-007 grid col = 1 zm level = 102 height [m] = 21125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 102 height [m] = 21250.000000000000 RHS = 1.1282655500000000E-007 grid col = 1 zm level = 103 height [m] = 21375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 103 height [m] = 21500.000000000000 RHS = 1.2000010999999999E-007 grid col = 1 zm level = 104 height [m] = 21625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 104 height [m] = 21750.000000000000 RHS = 1.2717366666666668E-007 grid col = 1 zm level = 105 height [m] = 21875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 105 height [m] = 22000.000000000000 RHS = 1.3434723333333333E-007 grid col = 1 zm level = 106 height [m] = 22125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 106 height [m] = 22250.000000000000 RHS = 1.4394253333333333E-007 grid col = 1 zm level = 107 height [m] = 22375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 107 height [m] = 22500.000000000000 RHS = 1.5353783333333331E-007 grid col = 1 zm level = 108 height [m] = 22625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 108 height [m] = 22750.000000000000 RHS = 1.6313313333333334E-007 grid col = 1 zm level = 109 height [m] = 22875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 109 height [m] = 23000.000000000000 RHS = 1.7272846666666668E-007 grid col = 1 zm level = 110 height [m] = 23125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 110 height [m] = 23250.000000000000 RHS = 1.8369411666666665E-007 grid col = 1 zm level = 111 height [m] = 23375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 111 height [m] = 23500.000000000000 RHS = 1.9465976666666667E-007 grid col = 1 zm level = 112 height [m] = 23625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 112 height [m] = 23750.000000000000 RHS = 2.0562545000000001E-007 grid col = 1 zm level = 113 height [m] = 23875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 113 height [m] = 24000.000000000000 RHS = 2.1659115000000000E-007 grid col = 1 zm level = 114 height [m] = 24125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 114 height [m] = 24250.000000000000 RHS = 2.3105736666666666E-007 grid col = 1 zm level = 115 height [m] = 24375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 115 height [m] = 24500.000000000000 RHS = 2.4552361666666668E-007 grid col = 1 zm level = 116 height [m] = 24625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 116 height [m] = 24750.000000000000 RHS = 2.5998988333333334E-007 grid col = 1 zm level = 117 height [m] = 24875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 117 height [m] = 25000.000000000000 RHS = 2.7445618333333336E-007 grid col = 1 zm level = 118 height [m] = 25125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 118 height [m] = 25250.000000000000 RHS = 2.7793421666666665E-007 grid col = 1 zm level = 119 height [m] = 25375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 119 height [m] = 25500.000000000000 RHS = 2.8141224999999999E-007 grid col = 1 zm level = 120 height [m] = 25625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 120 height [m] = 25750.000000000000 RHS = 2.8489029999999998E-007 grid col = 1 zm level = 121 height [m] = 25875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 121 height [m] = 26000.000000000000 RHS = 2.8836830000000001E-007 grid col = 1 zm level = 122 height [m] = 26125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 122 height [m] = 26250.000000000000 RHS = 2.9184678333333334E-007 grid col = 1 zm level = 123 height [m] = 26375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 123 height [m] = 26500.000000000000 RHS = 2.9532520000000004E-007 grid col = 1 zm level = 124 height [m] = 26625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 124 height [m] = 26750.000000000000 RHS = 2.9880368333333332E-007 grid col = 1 zm level = 125 height [m] = 26875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 125 height [m] = 27000.000000000000 RHS = 3.0228214999999999E-007 grid col = 1 zm level = 126 height [m] = 27125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 126 height [m] = 27250.000000000000 RHS = 3.0576060000000001E-007 grid col = 1 zm level = 127 height [m] = 27375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 127 height [m] = 27500.000000000000 RHS = 3.0923905000000003E-007 grid col = 1 zm level = 128 height [m] = 27625.000000000000 RHS = 0.0000000000000000 thlm and wpthlp RHS grid col = 1 zm level = 1 height [m] = 0.0000000000000000 RHS = 4.5432152465484738E-002 grid col = 1 zt level = 1 height [m] = 25.000000000000000 RHS = 5.0245166666666670 grid col = 1 zm level = 2 height [m] = 37.500000000000000 RHS = -0.37659131086767228 grid col = 1 zt level = 2 height [m] = 50.000000000000000 RHS = 5.0245166666666670 grid col = 1 zm level = 3 height [m] = 77.631576550000005 RHS = 0.0000000000000000 grid col = 1 zt level = 3 height [m] = 105.26315310000000 RHS = 5.0251973159219245 grid col = 1 zm level = 4 height [m] = 132.89472964999999 RHS = 0.0000000000000000 grid col = 1 zt level = 4 height [m] = 160.52630619999999 RHS = 5.0260279623264790 grid col = 1 zm level = 5 height [m] = 193.42102814999998 RHS = 0.0000000000000000 grid col = 1 zt level = 5 height [m] = 226.31575010000000 RHS = 5.0270168267319217 grid col = 1 zm level = 6 height [m] = 259.21047210000000 RHS = 0.0000000000000000 grid col = 1 zt level = 6 height [m] = 292.10519410000001 RHS = 5.0280056911388682 grid col = 1 zm level = 7 height [m] = 330.26307680000002 RHS = 0.0000000000000000 grid col = 1 zt level = 7 height [m] = 368.42095949999998 RHS = 5.0291527740066453 grid col = 1 zm level = 8 height [m] = 406.57884220000000 RHS = 0.0000000000000000 grid col = 1 zt level = 8 height [m] = 444.73672490000001 RHS = 5.0302998568744224 grid col = 1 zm level = 9 height [m] = 488.15776065000000 RHS = 0.0000000000000000 grid col = 1 zt level = 9 height [m] = 531.57879639999999 RHS = 5.0317538899290151 grid col = 1 zm level = 10 height [m] = 574.99984740000002 RHS = 0.0000000000000000 grid col = 1 zt level = 10 height [m] = 618.42089840000006 RHS = 5.0348346694814481 grid col = 1 zm level = 11 height [m] = 667.10510250000004 RHS = 0.0000000000000000 grid col = 1 zt level = 11 height [m] = 715.78930660000003 RHS = 5.0382888765322580 grid col = 1 zm level = 12 height [m] = 764.47351070000002 RHS = 0.0000000000000000 grid col = 1 zt level = 12 height [m] = 813.15771480000001 RHS = 5.0417430835830670 grid col = 1 zm level = 13 height [m] = 867.10510249999993 RHS = 0.0000000000000000 grid col = 1 zt level = 13 height [m] = 921.05249019999997 RHS = 5.0455707202962676 grid col = 1 zm level = 14 height [m] = 974.99987809999993 RHS = 0.0000000000000000 grid col = 1 zt level = 14 height [m] = 1028.9472659999999 RHS = 5.0499136134226017 grid col = 1 zm level = 15 height [m] = 1088.1578370000000 RHS = 0.0000000000000000 grid col = 1 zt level = 15 height [m] = 1147.3684080000000 RHS = 5.0571155408712869 grid col = 1 zm level = 16 height [m] = 1206.5789184999999 RHS = 0.0000000000000000 grid col = 1 zt level = 16 height [m] = 1265.7894289999999 RHS = 5.0643174609612087 grid col = 1 zm level = 17 height [m] = 1330.2631225000000 RHS = 0.0000000000000000 grid col = 1 zt level = 17 height [m] = 1394.7368160000001 RHS = 5.0721595549504013 grid col = 1 zm level = 18 height [m] = 1459.2104490000002 RHS = 0.0000000000000000 grid col = 1 zt level = 18 height [m] = 1523.6840820000000 RHS = 5.0801459020224513 grid col = 1 zm level = 19 height [m] = 1593.4208985000000 RHS = 0.0000000000000000 grid col = 1 zt level = 19 height [m] = 1663.1577150000001 RHS = 5.0910092702097609 grid col = 1 zm level = 20 height [m] = 1732.8945925000000 RHS = 0.0000000000000000 grid col = 1 zt level = 20 height [m] = 1802.6314700000000 RHS = 5.1018726478994454 grid col = 1 zm level = 21 height [m] = 1877.6315310000000 RHS = 0.0000000000000000 grid col = 1 zt level = 21 height [m] = 1952.6315920000000 RHS = 5.1135559067231924 grid col = 1 zm level = 22 height [m] = 2027.6315920000002 RHS = 0.0000000000000000 grid col = 1 zt level = 22 height [m] = 2102.6315920000002 RHS = 5.1251196967509376 grid col = 1 zm level = 23 height [m] = 2182.8947754999999 RHS = 0.0000000000000000 grid col = 1 zt level = 23 height [m] = 2263.1579590000001 RHS = 5.1372739796901632 grid col = 1 zm level = 24 height [m] = 2343.4211425000003 RHS = 0.0000000000000000 grid col = 1 zt level = 24 height [m] = 2423.6843260000001 RHS = 5.1494282626293879 grid col = 1 zm level = 25 height [m] = 2509.2105710000001 RHS = 0.0000000000000000 grid col = 1 zt level = 25 height [m] = 2594.7368160000001 RHS = 5.1623795328772157 grid col = 1 zm level = 26 height [m] = 2680.2631835000002 RHS = 0.0000000000000000 grid col = 1 zt level = 26 height [m] = 2765.7895509999998 RHS = 5.1729539658167889 grid col = 1 zm level = 27 height [m] = 2856.5791015000000 RHS = 0.0000000000000000 grid col = 1 zt level = 27 height [m] = 2947.3686520000001 RHS = 5.1839419659368637 grid col = 1 zm level = 28 height [m] = 3038.1580810000000 RHS = 0.0000000000000000 grid col = 1 zt level = 28 height [m] = 3128.9475100000000 RHS = 5.1949299513521394 grid col = 1 zm level = 29 height [m] = 3225.0001219999999 RHS = 0.0000000000000000 grid col = 1 zt level = 29 height [m] = 3321.0527339999999 RHS = 5.2066718022835818 grid col = 1 zm level = 30 height [m] = 3417.1053465000000 RHS = 0.0000000000000000 grid col = 1 zt level = 30 height [m] = 3513.1579590000001 RHS = 5.2184885279525961 grid col = 1 zm level = 31 height [m] = 3614.4737550000000 RHS = 0.0000000000000000 grid col = 1 zt level = 31 height [m] = 3715.7895509999998 RHS = 5.2309527487177503 grid col = 1 zm level = 32 height [m] = 3817.1053469999997 RHS = 0.0000000000000000 grid col = 1 zt level = 32 height [m] = 3918.4211430000000 RHS = 5.2442494107585107 grid col = 1 zm level = 33 height [m] = 4025.0001224999996 RHS = 0.0000000000000000 grid col = 1 zt level = 33 height [m] = 4131.5791019999997 RHS = 5.2594993588236578 grid col = 1 zm level = 34 height [m] = 4238.1579590000001 RHS = 0.0000000000000000 grid col = 1 zt level = 34 height [m] = 4344.7368159999996 RHS = 5.2747492893607824 grid col = 1 zm level = 35 height [m] = 4456.5788570000004 RHS = 0.0000000000000000 grid col = 1 zt level = 35 height [m] = 4568.4208980000003 RHS = 5.2915905595529997 grid col = 1 zm level = 36 height [m] = 4680.2629390000002 RHS = 0.0000000000000000 grid col = 1 zt level = 36 height [m] = 4792.1049800000001 RHS = 5.3108021745898624 grid col = 1 zm level = 37 height [m] = 4909.2102049999994 RHS = 0.0000000000000000 grid col = 1 zt level = 37 height [m] = 5026.3154299999997 RHS = 5.3309178706321498 grid col = 1 zm level = 38 height [m] = 5143.4206544999997 RHS = 0.0000000000000000 grid col = 1 zt level = 38 height [m] = 5260.5258789999998 RHS = 5.3509506304496641 grid col = 1 zm level = 39 height [m] = 5382.8942870000001 RHS = 0.0000000000000000 grid col = 1 zt level = 39 height [m] = 5505.2626950000003 RHS = 5.3711451654166824 grid col = 1 zm level = 40 height [m] = 5627.6313475000006 RHS = 0.0000000000000000 grid col = 1 zt level = 40 height [m] = 5750.0000000000000 RHS = 5.3913397407336889 grid col = 1 zm level = 41 height [m] = 5875.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 41 height [m] = 6000.0000000000000 RHS = 5.4119685689756745 grid col = 1 zm level = 42 height [m] = 6125.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 42 height [m] = 6250.0000000000000 RHS = 5.4290102233456974 grid col = 1 zm level = 43 height [m] = 6375.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 43 height [m] = 6500.0000000000000 RHS = 5.4456848660987616 grid col = 1 zm level = 44 height [m] = 6625.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 44 height [m] = 6750.0000000000000 RHS = 5.4623595088518258 grid col = 1 zm level = 45 height [m] = 6875.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 45 height [m] = 7000.0000000000000 RHS = 5.4771906715823864 grid col = 1 zm level = 46 height [m] = 7125.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 46 height [m] = 7250.0000000000000 RHS = 5.4899293157951696 grid col = 1 zm level = 47 height [m] = 7375.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 47 height [m] = 7500.0000000000000 RHS = 5.5026679600079538 grid col = 1 zm level = 48 height [m] = 7625.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 48 height [m] = 7750.0000000000000 RHS = 5.5154066042207388 grid col = 1 zm level = 49 height [m] = 7875.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 49 height [m] = 8000.0000000000000 RHS = 5.5264678995679937 grid col = 1 zm level = 50 height [m] = 8125.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 50 height [m] = 8250.0000000000000 RHS = 5.5367548813973499 grid col = 1 zm level = 51 height [m] = 8375.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 51 height [m] = 8500.0000000000000 RHS = 5.5470418632267071 grid col = 1 zm level = 52 height [m] = 8625.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 52 height [m] = 8750.0000000000000 RHS = 5.5573288450560643 grid col = 1 zm level = 53 height [m] = 8875.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 53 height [m] = 9000.0000000000000 RHS = 5.5692496406577776 grid col = 1 zm level = 54 height [m] = 9125.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 54 height [m] = 9250.0000000000000 RHS = 5.5829746090662402 grid col = 1 zm level = 55 height [m] = 9375.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 55 height [m] = 9500.0000000000000 RHS = 5.5966995774747037 grid col = 1 zm level = 56 height [m] = 9625.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 56 height [m] = 9750.0000000000000 RHS = 5.6104245458831663 grid col = 1 zm level = 57 height [m] = 9875.0000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 57 height [m] = 10000.000000000000 RHS = 5.6241495142916298 grid col = 1 zm level = 58 height [m] = 10125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 58 height [m] = 10250.000000000000 RHS = 5.6436223299387374 grid col = 1 zm level = 59 height [m] = 10375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 59 height [m] = 10500.000000000000 RHS = 5.6654169440597348 grid col = 1 zm level = 60 height [m] = 10625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 60 height [m] = 10750.000000000000 RHS = 5.6872115581807305 grid col = 1 zm level = 61 height [m] = 10875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 61 height [m] = 11000.000000000000 RHS = 5.7090061723017271 grid col = 1 zm level = 62 height [m] = 11125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 62 height [m] = 11250.000000000000 RHS = 5.7308007864227228 grid col = 1 zm level = 63 height [m] = 11375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 63 height [m] = 11500.000000000000 RHS = 5.7543407472398220 grid col = 1 zm level = 64 height [m] = 11625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 64 height [m] = 11750.000000000000 RHS = 5.7866328010089427 grid col = 1 zm level = 65 height [m] = 11875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 65 height [m] = 12000.000000000000 RHS = 5.8189248547780643 grid col = 1 zm level = 66 height [m] = 12125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 66 height [m] = 12250.000000000000 RHS = 5.8512169085471859 grid col = 1 zm level = 67 height [m] = 12375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 67 height [m] = 12500.000000000000 RHS = 5.8835089623163066 grid col = 1 zm level = 68 height [m] = 12625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 68 height [m] = 12750.000000000000 RHS = 5.9158010160854282 grid col = 1 zm level = 69 height [m] = 12875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 69 height [m] = 13000.000000000000 RHS = 5.9480930698545498 grid col = 1 zm level = 70 height [m] = 13125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 70 height [m] = 13250.000000000000 RHS = 5.9912815060669331 grid col = 1 zm level = 71 height [m] = 13375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 71 height [m] = 13500.000000000000 RHS = 6.0501094582900263 grid col = 1 zm level = 72 height [m] = 13625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 72 height [m] = 13750.000000000000 RHS = 6.1089374105131187 grid col = 1 zm level = 73 height [m] = 13875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 73 height [m] = 14000.000000000000 RHS = 6.1677653627362101 grid col = 1 zm level = 74 height [m] = 14125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 74 height [m] = 14250.000000000000 RHS = 6.2265933149593025 grid col = 1 zm level = 75 height [m] = 14375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 75 height [m] = 14500.000000000000 RHS = 6.2854212671823948 grid col = 1 zm level = 76 height [m] = 14625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 76 height [m] = 14750.000000000000 RHS = 6.3442492194054863 grid col = 1 zm level = 77 height [m] = 14875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 77 height [m] = 15000.000000000000 RHS = 6.4030771716285786 grid col = 1 zm level = 78 height [m] = 15125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 78 height [m] = 15250.000000000000 RHS = 6.4619051238516709 grid col = 1 zm level = 79 height [m] = 15375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 79 height [m] = 15500.000000000000 RHS = 6.7424728333333332 grid col = 1 zm level = 80 height [m] = 15625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 80 height [m] = 15750.000000000000 RHS = 6.8199091666666662 grid col = 1 zm level = 81 height [m] = 15875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 81 height [m] = 16000.000000000000 RHS = 6.9015149999999998 grid col = 1 zm level = 82 height [m] = 16125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 82 height [m] = 16250.000000000000 RHS = 6.9746688333333324 grid col = 1 zm level = 83 height [m] = 16375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 83 height [m] = 16500.000000000000 RHS = 7.0514460000000003 grid col = 1 zm level = 84 height [m] = 16625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 84 height [m] = 16750.000000000000 RHS = 7.1321799999999991 grid col = 1 zm level = 85 height [m] = 16875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 85 height [m] = 17000.000000000000 RHS = 7.2172479999999997 grid col = 1 zm level = 86 height [m] = 17125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 86 height [m] = 17250.000000000000 RHS = 7.2938939999999999 grid col = 1 zm level = 87 height [m] = 17375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 87 height [m] = 17500.000000000000 RHS = 7.3743449999999990 grid col = 1 zm level = 88 height [m] = 17625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 88 height [m] = 17750.000000000000 RHS = 7.4589493333333339 grid col = 1 zm level = 89 height [m] = 17875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 89 height [m] = 18000.000000000000 RHS = 7.5481058333333335 grid col = 1 zm level = 90 height [m] = 18125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 90 height [m] = 18250.000000000000 RHS = 7.6282343333333325 grid col = 1 zm level = 91 height [m] = 18375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 91 height [m] = 18500.000000000000 RHS = 7.7123388333333329 grid col = 1 zm level = 92 height [m] = 18625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 92 height [m] = 18750.000000000000 RHS = 7.8007838333333330 grid col = 1 zm level = 93 height [m] = 18875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 93 height [m] = 19000.000000000000 RHS = 7.8939845000000002 grid col = 1 zm level = 94 height [m] = 19125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 94 height [m] = 19250.000000000000 RHS = 7.9777273333333332 grid col = 1 zm level = 95 height [m] = 19375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 95 height [m] = 19500.000000000000 RHS = 8.0656216666666669 grid col = 1 zm level = 96 height [m] = 19625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 96 height [m] = 19750.000000000000 RHS = 8.1580483333333333 grid col = 1 zm level = 97 height [m] = 19875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 97 height [m] = 20000.000000000000 RHS = 8.2554423333333329 grid col = 1 zm level = 98 height [m] = 20125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 98 height [m] = 20250.000000000000 RHS = 8.3524306666666668 grid col = 1 zm level = 99 height [m] = 20375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 99 height [m] = 20500.000000000000 RHS = 8.4539504999999995 grid col = 1 zm level = 100 height [m] = 20625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 100 height [m] = 20750.000000000000 RHS = 8.5604133333333348 grid col = 1 zm level = 101 height [m] = 20875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 101 height [m] = 21000.000000000000 RHS = 8.6722883333333343 grid col = 1 zm level = 102 height [m] = 21125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 102 height [m] = 21250.000000000000 RHS = 8.7738183333333328 grid col = 1 zm level = 103 height [m] = 21375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 103 height [m] = 21500.000000000000 RHS = 8.8800761666666670 grid col = 1 zm level = 104 height [m] = 21625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 104 height [m] = 21750.000000000000 RHS = 8.9914900000000006 grid col = 1 zm level = 105 height [m] = 21875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 105 height [m] = 22000.000000000000 RHS = 9.1085449999999994 grid col = 1 zm level = 106 height [m] = 22125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 106 height [m] = 22250.000000000000 RHS = 9.2145191666666655 grid col = 1 zm level = 107 height [m] = 22375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 107 height [m] = 22500.000000000000 RHS = 9.3253956666666653 grid col = 1 zm level = 108 height [m] = 22625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 108 height [m] = 22750.000000000000 RHS = 9.4416128333333322 grid col = 1 zm level = 109 height [m] = 22875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 109 height [m] = 23000.000000000000 RHS = 9.5636733333333321 grid col = 1 zm level = 110 height [m] = 23125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 110 height [m] = 23250.000000000000 RHS = 9.6745033333333321 grid col = 1 zm level = 111 height [m] = 23375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 111 height [m] = 23500.000000000000 RHS = 9.7904408333333333 grid col = 1 zm level = 112 height [m] = 23625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 112 height [m] = 23750.000000000000 RHS = 9.9119416666666673 grid col = 1 zm level = 113 height [m] = 23875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 113 height [m] = 24000.000000000000 RHS = 10.039522333333334 grid col = 1 zm level = 114 height [m] = 24125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 114 height [m] = 24250.000000000000 RHS = 10.156238333333333 grid col = 1 zm level = 115 height [m] = 24375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 115 height [m] = 24500.000000000000 RHS = 10.278358333333333 grid col = 1 zm level = 116 height [m] = 24625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 116 height [m] = 24750.000000000000 RHS = 10.406364999999999 grid col = 1 zm level = 117 height [m] = 24875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 117 height [m] = 25000.000000000000 RHS = 10.540809166666666 grid col = 1 zm level = 118 height [m] = 25125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 118 height [m] = 25250.000000000000 RHS = 10.633725000000000 grid col = 1 zm level = 119 height [m] = 25375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 119 height [m] = 25500.000000000000 RHS = 10.729715000000001 grid col = 1 zm level = 120 height [m] = 25625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 120 height [m] = 25750.000000000000 RHS = 10.828982500000000 grid col = 1 zm level = 121 height [m] = 25875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 121 height [m] = 26000.000000000000 RHS = 10.931742333333332 grid col = 1 zm level = 122 height [m] = 26125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 122 height [m] = 26250.000000000000 RHS = 11.038232499999999 grid col = 1 zm level = 123 height [m] = 26375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 123 height [m] = 26500.000000000000 RHS = 11.148719999999999 grid col = 1 zm level = 124 height [m] = 26625.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 124 height [m] = 26750.000000000000 RHS = 11.263493333333335 grid col = 1 zm level = 125 height [m] = 26875.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 125 height [m] = 27000.000000000000 RHS = 11.382875500000001 grid col = 1 zm level = 126 height [m] = 27125.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 126 height [m] = 27250.000000000000 RHS = 11.507225500000001 grid col = 1 zm level = 127 height [m] = 27375.000000000000 RHS = 0.0000000000000000 grid col = 1 zt level = 127 height [m] = 27500.000000000000 RHS = 11.636945666666666 grid col = 1 zm level = 128 height [m] = 27625.000000000000 RHS = 0.0000000000000000 um and upwp RHS grid col = 1 zm level = 1 height [m] = 0.0000000000000000 RHS = 5.8426078455082681E-003 grid col = 1 zt level = 1 height [m] = 25.000000000000000 RHS = -1.2583333333333334E-002 grid col = 1 zm level = 2 height [m] = 37.500000000000000 RHS = NaN grid col = 1 zt level = 2 height [m] = 50.000000000000000 RHS = -1.2583333333333334E-002 grid col = 1 zm level = 3 height [m] = 77.631576550000005 RHS = NaN grid col = 1 zt level = 3 height [m] = 105.26315310000000 RHS = -1.1636051354514714E-002 grid col = 1 zm level = 4 height [m] = 132.89472964999999 RHS = NaN grid col = 1 zt level = 4 height [m] = 160.52630619999999 RHS = -1.0499325951356071E-002 grid col = 1 zm level = 5 height [m] = 193.42102814999998 RHS = NaN grid col = 1 zt level = 5 height [m] = 226.31575010000000 RHS = -9.1460819190170867E-003 grid col = 1 zm level = 6 height [m] = 259.21047210000000 RHS = NaN grid col = 1 zt level = 6 height [m] = 292.10519410000001 RHS = -7.7928378846211727E-003 grid col = 1 zm level = 7 height [m] = 330.26307680000002 RHS = NaN grid col = 1 zt level = 7 height [m] = 368.42095949999998 RHS = -6.2230745916237711E-003 grid col = 1 zm level = 8 height [m] = 406.57884220000000 RHS = NaN grid col = 1 zt level = 8 height [m] = 444.73672490000001 RHS = -4.6533112986263695E-003 grid col = 1 zm level = 9 height [m] = 488.15776065000000 RHS = NaN grid col = 1 zt level = 9 height [m] = 531.57879639999999 RHS = -2.5542717491276240E-003 grid col = 1 zm level = 10 height [m] = 574.99984740000002 RHS = NaN grid col = 1 zt level = 10 height [m] = 618.42089840000006 RHS = 2.9655179996558728E-003 grid col = 1 zm level = 11 height [m] = 667.10510250000004 RHS = NaN grid col = 1 zt level = 11 height [m] = 715.78930660000003 RHS = 9.1543725881563474E-003 grid col = 1 zm level = 12 height [m] = 764.47351070000002 RHS = NaN grid col = 1 zt level = 12 height [m] = 813.15771480000001 RHS = 1.5343227176656826E-002 grid col = 1 zm level = 13 height [m] = 867.10510249999993 RHS = NaN grid col = 1 zt level = 13 height [m] = 921.05249019999997 RHS = 2.2201150482108564E-002 grid col = 1 zm level = 14 height [m] = 974.99987809999993 RHS = NaN grid col = 1 zt level = 14 height [m] = 1028.9472659999999 RHS = 2.9043633123906138E-002 grid col = 1 zm level = 15 height [m] = 1088.1578370000000 RHS = NaN grid col = 1 zt level = 15 height [m] = 1147.3684080000000 RHS = 3.6480698382482600E-002 grid col = 1 zm level = 16 height [m] = 1206.5789184999999 RHS = NaN grid col = 1 zt level = 16 height [m] = 1265.7894289999999 RHS = 4.3917756042036758E-002 grid col = 1 zm level = 17 height [m] = 1330.2631225000000 RHS = NaN grid col = 1 zt level = 17 height [m] = 1394.7368160000001 RHS = 5.2015888823444267E-002 grid col = 1 zm level = 18 height [m] = 1459.2104490000002 RHS = NaN grid col = 1 zt level = 18 height [m] = 1523.6840820000000 RHS = 5.9973227812388681E-002 grid col = 1 zm level = 19 height [m] = 1593.4208985000000 RHS = NaN grid col = 1 zt level = 19 height [m] = 1663.1577150000001 RHS = 6.6408668259060250E-002 grid col = 1 zm level = 20 height [m] = 1732.8945925000000 RHS = NaN grid col = 1 zt level = 20 height [m] = 1802.6314700000000 RHS = 7.2844114334922924E-002 grid col = 1 zm level = 21 height [m] = 1877.6315310000000 RHS = NaN grid col = 1 zt level = 21 height [m] = 1952.6315920000000 RHS = 7.9765256570634713E-002 grid col = 1 zm level = 22 height [m] = 2027.6315920000002 RHS = NaN grid col = 1 zt level = 22 height [m] = 2102.6315920000002 RHS = 8.5490571922110889E-002 grid col = 1 zm level = 23 height [m] = 2182.8947754999999 RHS = NaN grid col = 1 zt level = 23 height [m] = 2263.1579590000001 RHS = 8.9405340392471694E-002 grid col = 1 zm level = 24 height [m] = 2343.4211425000003 RHS = NaN grid col = 1 zt level = 24 height [m] = 2423.6843260000001 RHS = 9.3320108862832513E-002 grid col = 1 zm level = 25 height [m] = 2509.2105710000001 RHS = NaN grid col = 1 zt level = 25 height [m] = 2594.7368160000001 RHS = 9.7491578678932600E-002 grid col = 1 zm level = 26 height [m] = 2680.2631835000002 RHS = NaN grid col = 1 zt level = 26 height [m] = 2765.7895509999998 RHS = 0.10051498507516914 grid col = 1 zm level = 27 height [m] = 2856.5791015000000 RHS = NaN grid col = 1 zt level = 27 height [m] = 2947.3686520000001 RHS = 0.10360989018747709 grid col = 1 zm level = 28 height [m] = 3038.1580810000000 RHS = NaN grid col = 1 zt level = 28 height [m] = 3128.9475100000000 RHS = 0.10670479115799814 grid col = 1 zm level = 29 height [m] = 3225.0001219999999 RHS = NaN grid col = 1 zt level = 29 height [m] = 3321.0527339999999 RHS = 0.10915152377002452 grid col = 1 zm level = 30 height [m] = 3417.1053465000000 RHS = NaN grid col = 1 zt level = 30 height [m] = 3513.1579590000001 RHS = 0.11106808578900861 grid col = 1 zm level = 31 height [m] = 3614.4737550000000 RHS = NaN grid col = 1 zt level = 31 height [m] = 3715.7895509999998 RHS = 0.11308966543669118 grid col = 1 zm level = 32 height [m] = 3817.1053469999997 RHS = NaN grid col = 1 zt level = 32 height [m] = 3918.4211430000000 RHS = 0.11459089212093450 grid col = 1 zm level = 33 height [m] = 4025.0001224999996 RHS = NaN grid col = 1 zt level = 33 height [m] = 4131.5791019999997 RHS = 0.11538089622368790 grid col = 1 zm level = 34 height [m] = 4238.1579590000001 RHS = NaN grid col = 1 zt level = 34 height [m] = 4344.7368159999996 RHS = 0.11617089941842451 grid col = 1 zm level = 35 height [m] = 4456.5788570000004 RHS = NaN grid col = 1 zt level = 35 height [m] = 4568.4208980000003 RHS = 0.11682760770033257 grid col = 1 zm level = 36 height [m] = 4680.2629390000002 RHS = NaN grid col = 1 zt level = 36 height [m] = 4792.1049800000001 RHS = 0.11699707770998892 grid col = 1 zm level = 37 height [m] = 4909.2102049999994 RHS = NaN grid col = 1 zt level = 37 height [m] = 5026.3154299999997 RHS = 0.11717452282306191 grid col = 1 zm level = 38 height [m] = 5143.4206544999997 RHS = NaN grid col = 1 zt level = 38 height [m] = 5260.5258789999998 RHS = 0.11724898039737965 grid col = 1 zm level = 39 height [m] = 5382.8942870000001 RHS = NaN grid col = 1 zt level = 39 height [m] = 5505.2626950000003 RHS = 0.11640964186568675 grid col = 1 zm level = 40 height [m] = 5627.6313475000006 RHS = NaN grid col = 1 zt level = 40 height [m] = 5750.0000000000000 RHS = 0.11557030165694113 grid col = 1 zm level = 41 height [m] = 5875.0000000000000 RHS = NaN grid col = 1 zt level = 41 height [m] = 6000.0000000000000 RHS = 0.11471291274278926 grid col = 1 zm level = 42 height [m] = 6125.0000000000000 RHS = NaN grid col = 1 zt level = 42 height [m] = 6250.0000000000000 RHS = 0.11343301252561441 grid col = 1 zm level = 43 height [m] = 6375.0000000000000 RHS = NaN grid col = 1 zt level = 43 height [m] = 6500.0000000000000 RHS = 0.11210988424323848 grid col = 1 zm level = 44 height [m] = 6625.0000000000000 RHS = NaN grid col = 1 zt level = 44 height [m] = 6750.0000000000000 RHS = 0.11078675596086256 grid col = 1 zm level = 45 height [m] = 6875.0000000000000 RHS = NaN grid col = 1 zt level = 45 height [m] = 7000.0000000000000 RHS = 0.11041131967442139 grid col = 1 zm level = 46 height [m] = 7125.0000000000000 RHS = NaN grid col = 1 zt level = 46 height [m] = 7250.0000000000000 RHS = 0.11111160052668168 grid col = 1 zm level = 47 height [m] = 7375.0000000000000 RHS = NaN grid col = 1 zt level = 47 height [m] = 7500.0000000000000 RHS = 0.11181188137894196 grid col = 1 zm level = 48 height [m] = 7625.0000000000000 RHS = NaN grid col = 1 zt level = 48 height [m] = 7750.0000000000000 RHS = 0.11251216223120226 grid col = 1 zm level = 49 height [m] = 7875.0000000000000 RHS = NaN grid col = 1 zt level = 49 height [m] = 8000.0000000000000 RHS = 0.11562945007900637 grid col = 1 zm level = 50 height [m] = 8125.0000000000000 RHS = NaN grid col = 1 zt level = 50 height [m] = 8250.0000000000000 RHS = 0.11986249919219644 grid col = 1 zm level = 51 height [m] = 8375.0000000000000 RHS = NaN grid col = 1 zt level = 51 height [m] = 8500.0000000000000 RHS = 0.12409554830538651 grid col = 1 zm level = 52 height [m] = 8625.0000000000000 RHS = NaN grid col = 1 zt level = 52 height [m] = 8750.0000000000000 RHS = 0.12832859741857658 grid col = 1 zm level = 53 height [m] = 8875.0000000000000 RHS = NaN grid col = 1 zt level = 53 height [m] = 9000.0000000000000 RHS = 0.13411530280431599 grid col = 1 zm level = 54 height [m] = 9125.0000000000000 RHS = NaN grid col = 1 zt level = 54 height [m] = 9250.0000000000000 RHS = 0.14161766548868376 grid col = 1 zm level = 55 height [m] = 9375.0000000000000 RHS = NaN grid col = 1 zt level = 55 height [m] = 9500.0000000000000 RHS = 0.14912002817305151 grid col = 1 zm level = 56 height [m] = 9625.0000000000000 RHS = NaN grid col = 1 zt level = 56 height [m] = 9750.0000000000000 RHS = 0.15662239085741927 grid col = 1 zm level = 57 height [m] = 9875.0000000000000 RHS = NaN grid col = 1 zt level = 57 height [m] = 10000.000000000000 RHS = 0.16412475354178702 grid col = 1 zm level = 58 height [m] = 10125.000000000000 RHS = NaN grid col = 1 zt level = 58 height [m] = 10250.000000000000 RHS = 0.16900392856181204 grid col = 1 zm level = 59 height [m] = 10375.000000000000 RHS = NaN grid col = 1 zt level = 59 height [m] = 10500.000000000000 RHS = 0.17282348720234489 grid col = 1 zm level = 60 height [m] = 10625.000000000000 RHS = NaN grid col = 1 zt level = 60 height [m] = 10750.000000000000 RHS = 0.17664304584287774 grid col = 1 zm level = 61 height [m] = 10875.000000000000 RHS = NaN grid col = 1 zt level = 61 height [m] = 11000.000000000000 RHS = 0.18046260448341053 grid col = 1 zm level = 62 height [m] = 11125.000000000000 RHS = NaN grid col = 1 zt level = 62 height [m] = 11250.000000000000 RHS = 0.18428216312394338 grid col = 1 zm level = 63 height [m] = 11375.000000000000 RHS = NaN grid col = 1 zt level = 63 height [m] = 11500.000000000000 RHS = 0.18720742917469205 grid col = 1 zm level = 64 height [m] = 11625.000000000000 RHS = NaN grid col = 1 zt level = 64 height [m] = 11750.000000000000 RHS = 0.18564823721506998 grid col = 1 zm level = 65 height [m] = 11875.000000000000 RHS = NaN grid col = 1 zt level = 65 height [m] = 12000.000000000000 RHS = 0.18408904525544795 grid col = 1 zm level = 66 height [m] = 12125.000000000000 RHS = NaN grid col = 1 zt level = 66 height [m] = 12250.000000000000 RHS = 0.18252985329582586 grid col = 1 zm level = 67 height [m] = 12375.000000000000 RHS = NaN grid col = 1 zt level = 67 height [m] = 12500.000000000000 RHS = 0.18097066133620382 grid col = 1 zm level = 68 height [m] = 12625.000000000000 RHS = NaN grid col = 1 zt level = 68 height [m] = 12750.000000000000 RHS = 0.17941146937658176 grid col = 1 zm level = 69 height [m] = 12875.000000000000 RHS = NaN grid col = 1 zt level = 69 height [m] = 13000.000000000000 RHS = 0.17785227741695972 grid col = 1 zm level = 70 height [m] = 13125.000000000000 RHS = NaN grid col = 1 zt level = 70 height [m] = 13250.000000000000 RHS = 0.17293192910624461 grid col = 1 zm level = 71 height [m] = 13375.000000000000 RHS = NaN grid col = 1 zt level = 71 height [m] = 13500.000000000000 RHS = 0.16318733247111805 grid col = 1 zm level = 72 height [m] = 13625.000000000000 RHS = NaN grid col = 1 zt level = 72 height [m] = 13750.000000000000 RHS = 0.15344273583599147 grid col = 1 zm level = 73 height [m] = 13875.000000000000 RHS = NaN grid col = 1 zt level = 73 height [m] = 14000.000000000000 RHS = 0.14369813920086491 grid col = 1 zm level = 74 height [m] = 14125.000000000000 RHS = NaN grid col = 1 zt level = 74 height [m] = 14250.000000000000 RHS = 0.13395354256573838 grid col = 1 zm level = 75 height [m] = 14375.000000000000 RHS = NaN grid col = 1 zt level = 75 height [m] = 14500.000000000000 RHS = 0.12420894593061180 grid col = 1 zm level = 76 height [m] = 14625.000000000000 RHS = NaN grid col = 1 zt level = 76 height [m] = 14750.000000000000 RHS = 0.11446434929548523 grid col = 1 zm level = 77 height [m] = 14875.000000000000 RHS = NaN grid col = 1 zt level = 77 height [m] = 15000.000000000000 RHS = 0.10471975266035868 grid col = 1 zm level = 78 height [m] = 15125.000000000000 RHS = NaN grid col = 1 zt level = 78 height [m] = 15250.000000000000 RHS = 9.4975156025232113E-002 grid col = 1 zm level = 79 height [m] = 15375.000000000000 RHS = NaN grid col = 1 zt level = 79 height [m] = 15500.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 80 height [m] = 15625.000000000000 RHS = NaN grid col = 1 zt level = 80 height [m] = 15750.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 81 height [m] = 15875.000000000000 RHS = NaN grid col = 1 zt level = 81 height [m] = 16000.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 82 height [m] = 16125.000000000000 RHS = NaN grid col = 1 zt level = 82 height [m] = 16250.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 83 height [m] = 16375.000000000000 RHS = NaN grid col = 1 zt level = 83 height [m] = 16500.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 84 height [m] = 16625.000000000000 RHS = NaN grid col = 1 zt level = 84 height [m] = 16750.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 85 height [m] = 16875.000000000000 RHS = NaN grid col = 1 zt level = 85 height [m] = 17000.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 86 height [m] = 17125.000000000000 RHS = NaN grid col = 1 zt level = 86 height [m] = 17250.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 87 height [m] = 17375.000000000000 RHS = NaN grid col = 1 zt level = 87 height [m] = 17500.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 88 height [m] = 17625.000000000000 RHS = NaN grid col = 1 zt level = 88 height [m] = 17750.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 89 height [m] = 17875.000000000000 RHS = NaN grid col = 1 zt level = 89 height [m] = 18000.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 90 height [m] = 18125.000000000000 RHS = NaN grid col = 1 zt level = 90 height [m] = 18250.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 91 height [m] = 18375.000000000000 RHS = NaN grid col = 1 zt level = 91 height [m] = 18500.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 92 height [m] = 18625.000000000000 RHS = NaN grid col = 1 zt level = 92 height [m] = 18750.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 93 height [m] = 18875.000000000000 RHS = NaN grid col = 1 zt level = 93 height [m] = 19000.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 94 height [m] = 19125.000000000000 RHS = NaN grid col = 1 zt level = 94 height [m] = 19250.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 95 height [m] = 19375.000000000000 RHS = NaN grid col = 1 zt level = 95 height [m] = 19500.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 96 height [m] = 19625.000000000000 RHS = NaN grid col = 1 zt level = 96 height [m] = 19750.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 97 height [m] = 19875.000000000000 RHS = NaN grid col = 1 zt level = 97 height [m] = 20000.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 98 height [m] = 20125.000000000000 RHS = NaN grid col = 1 zt level = 98 height [m] = 20250.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 99 height [m] = 20375.000000000000 RHS = NaN grid col = 1 zt level = 99 height [m] = 20500.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 100 height [m] = 20625.000000000000 RHS = NaN grid col = 1 zt level = 100 height [m] = 20750.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 101 height [m] = 20875.000000000000 RHS = NaN grid col = 1 zt level = 101 height [m] = 21000.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 102 height [m] = 21125.000000000000 RHS = NaN grid col = 1 zt level = 102 height [m] = 21250.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 103 height [m] = 21375.000000000000 RHS = NaN grid col = 1 zt level = 103 height [m] = 21500.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 104 height [m] = 21625.000000000000 RHS = NaN grid col = 1 zt level = 104 height [m] = 21750.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 105 height [m] = 21875.000000000000 RHS = NaN grid col = 1 zt level = 105 height [m] = 22000.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 106 height [m] = 22125.000000000000 RHS = NaN grid col = 1 zt level = 106 height [m] = 22250.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 107 height [m] = 22375.000000000000 RHS = NaN grid col = 1 zt level = 107 height [m] = 22500.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 108 height [m] = 22625.000000000000 RHS = NaN grid col = 1 zt level = 108 height [m] = 22750.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 109 height [m] = 22875.000000000000 RHS = NaN grid col = 1 zt level = 109 height [m] = 23000.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 110 height [m] = 23125.000000000000 RHS = NaN grid col = 1 zt level = 110 height [m] = 23250.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 111 height [m] = 23375.000000000000 RHS = NaN grid col = 1 zt level = 111 height [m] = 23500.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 112 height [m] = 23625.000000000000 RHS = NaN grid col = 1 zt level = 112 height [m] = 23750.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 113 height [m] = 23875.000000000000 RHS = NaN grid col = 1 zt level = 113 height [m] = 24000.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 114 height [m] = 24125.000000000000 RHS = NaN grid col = 1 zt level = 114 height [m] = 24250.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 115 height [m] = 24375.000000000000 RHS = NaN grid col = 1 zt level = 115 height [m] = 24500.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 116 height [m] = 24625.000000000000 RHS = NaN grid col = 1 zt level = 116 height [m] = 24750.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 117 height [m] = 24875.000000000000 RHS = NaN grid col = 1 zt level = 117 height [m] = 25000.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 118 height [m] = 25125.000000000000 RHS = NaN grid col = 1 zt level = 118 height [m] = 25250.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 119 height [m] = 25375.000000000000 RHS = NaN grid col = 1 zt level = 119 height [m] = 25500.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 120 height [m] = 25625.000000000000 RHS = NaN grid col = 1 zt level = 120 height [m] = 25750.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 121 height [m] = 25875.000000000000 RHS = NaN grid col = 1 zt level = 121 height [m] = 26000.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 122 height [m] = 26125.000000000000 RHS = NaN grid col = 1 zt level = 122 height [m] = 26250.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 123 height [m] = 26375.000000000000 RHS = NaN grid col = 1 zt level = 123 height [m] = 26500.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 124 height [m] = 26625.000000000000 RHS = NaN grid col = 1 zt level = 124 height [m] = 26750.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 125 height [m] = 26875.000000000000 RHS = NaN grid col = 1 zt level = 125 height [m] = 27000.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 126 height [m] = 27125.000000000000 RHS = NaN grid col = 1 zt level = 126 height [m] = 27250.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 127 height [m] = 27375.000000000000 RHS = NaN grid col = 1 zt level = 127 height [m] = 27500.000000000000 RHS = 9.4975144999999997E-002 grid col = 1 zm level = 128 height [m] = 27625.000000000000 RHS = 0.0000000000000000 vm and vpwp RHS grid col = 1 zm level = 1 height [m] = 0.0000000000000000 RHS = -1.4780637066120256E-003 grid col = 1 zt level = 1 height [m] = 25.000000000000000 RHS = 3.1833333333333332E-003 grid col = 1 zm level = 2 height [m] = 37.500000000000000 RHS = NaN grid col = 1 zt level = 2 height [m] = 50.000000000000000 RHS = 3.1833333333333332E-003 grid col = 1 zm level = 3 height [m] = 77.631576550000005 RHS = NaN grid col = 1 zt level = 3 height [m] = 105.26315310000000 RHS = 4.5695996437996045E-003 grid col = 1 zm level = 4 height [m] = 132.89472964999999 RHS = NaN grid col = 1 zt level = 4 height [m] = 160.52630619999999 RHS = 6.2331002337878642E-003 grid col = 1 zm level = 5 height [m] = 193.42102814999998 RHS = NaN grid col = 1 zt level = 5 height [m] = 226.31575010000000 RHS = 8.2134573542839359E-003 grid col = 1 zm level = 6 height [m] = 259.21047210000000 RHS = NaN grid col = 1 zt level = 6 height [m] = 292.10519410000001 RHS = 1.0193814477790150E-002 grid col = 1 zm level = 7 height [m] = 330.26307680000002 RHS = NaN grid col = 1 zt level = 7 height [m] = 368.42095949999998 RHS = 1.2491029052908300E-002 grid col = 1 zm level = 8 height [m] = 406.57884220000000 RHS = NaN grid col = 1 zt level = 8 height [m] = 444.73672490000001 RHS = 1.4788243628026448E-002 grid col = 1 zm level = 9 height [m] = 488.15776065000000 RHS = NaN grid col = 1 zt level = 9 height [m] = 531.57879639999999 RHS = 1.7266949956212620E-002 grid col = 1 zm level = 10 height [m] = 574.99984740000002 RHS = NaN grid col = 1 zt level = 10 height [m] = 618.42089840000006 RHS = 1.8265114426214611E-002 grid col = 1 zm level = 11 height [m] = 667.10510250000004 RHS = NaN grid col = 1 zt level = 11 height [m] = 715.78930660000003 RHS = 1.9384268423268843E-002 grid col = 1 zm level = 12 height [m] = 764.47351070000002 RHS = NaN grid col = 1 zt level = 12 height [m] = 813.15771480000001 RHS = 2.0503422420323068E-002 grid col = 1 zm level = 13 height [m] = 867.10510249999993 RHS = NaN grid col = 1 zt level = 13 height [m] = 921.05249019999997 RHS = 2.1743566645564479E-002 grid col = 1 zm level = 14 height [m] = 974.99987809999993 RHS = NaN grid col = 1 zt level = 14 height [m] = 1028.9472659999999 RHS = 2.2430925615451423E-002 grid col = 1 zm level = 15 height [m] = 1088.1578370000000 RHS = NaN grid col = 1 zt level = 15 height [m] = 1147.3684080000000 RHS = 2.0572633248588684E-002 grid col = 1 zm level = 16 height [m] = 1206.5789184999999 RHS = NaN grid col = 1 zt level = 16 height [m] = 1265.7894289999999 RHS = 1.8714342780486361E-002 grid col = 1 zm level = 17 height [m] = 1330.2631225000000 RHS = NaN grid col = 1 zt level = 17 height [m] = 1394.7368160000001 RHS = 1.6690870105404442E-002 grid col = 1 zm level = 18 height [m] = 1459.2104490000002 RHS = NaN grid col = 1 zt level = 18 height [m] = 1523.6840820000000 RHS = 1.4404815229505638E-002 grid col = 1 zm level = 19 height [m] = 1593.4208985000000 RHS = NaN grid col = 1 zt level = 19 height [m] = 1663.1577150000001 RHS = 7.8820553737883273E-003 grid col = 1 zm level = 20 height [m] = 1732.8945925000000 RHS = NaN grid col = 1 zt level = 20 height [m] = 1802.6314700000000 RHS = 1.3592898125001165E-003 grid col = 1 zm level = 21 height [m] = 1877.6315310000000 RHS = NaN grid col = 1 zt level = 21 height [m] = 1952.6315920000000 RHS = -5.6557620871969267E-003 grid col = 1 zm level = 22 height [m] = 2027.6315920000002 RHS = NaN grid col = 1 zt level = 22 height [m] = 2102.6315920000002 RHS = -1.3591684288612431E-002 grid col = 1 zm level = 23 height [m] = 2182.8947754999999 RHS = NaN grid col = 1 zt level = 23 height [m] = 2263.1579590000001 RHS = -2.3788179781364834E-002 grid col = 1 zm level = 24 height [m] = 2343.4211425000003 RHS = NaN grid col = 1 zt level = 24 height [m] = 2423.6843260000001 RHS = -3.3984675274117235E-002 grid col = 1 zm level = 25 height [m] = 2509.2105710000001 RHS = NaN grid col = 1 zt level = 25 height [m] = 2594.7368160000001 RHS = -4.4849780963010559E-002 grid col = 1 zm level = 26 height [m] = 2680.2631835000002 RHS = NaN grid col = 1 zt level = 26 height [m] = 2765.7895509999998 RHS = -5.4839022749944198E-002 grid col = 1 zm level = 27 height [m] = 2856.5791015000000 RHS = NaN grid col = 1 zt level = 27 height [m] = 2947.3686520000001 RHS = -6.5355591766438015E-002 grid col = 1 zm level = 28 height [m] = 3038.1580810000000 RHS = NaN grid col = 1 zt level = 28 height [m] = 3128.9475100000000 RHS = -7.5872146709030933E-002 grid col = 1 zm level = 29 height [m] = 3225.0001219999999 RHS = NaN grid col = 1 zt level = 29 height [m] = 3321.0527339999999 RHS = -8.2583952048956188E-002 grid col = 1 zm level = 30 height [m] = 3417.1053465000000 RHS = NaN grid col = 1 zt level = 30 height [m] = 3513.1579590000001 RHS = -8.6467778785839305E-002 grid col = 1 zm level = 31 height [m] = 3614.4737550000000 RHS = NaN grid col = 1 zt level = 31 height [m] = 3715.7895509999998 RHS = -9.0564419024264819E-002 grid col = 1 zm level = 32 height [m] = 3817.1053469999997 RHS = NaN grid col = 1 zt level = 32 height [m] = 3918.4211430000000 RHS = -9.0662289682903241E-002 grid col = 1 zm level = 33 height [m] = 4025.0001224999996 RHS = NaN grid col = 1 zt level = 33 height [m] = 4131.5791019999997 RHS = -8.4700392054124232E-002 grid col = 1 zm level = 34 height [m] = 4238.1579590000001 RHS = NaN grid col = 1 zt level = 34 height [m] = 4344.7368159999996 RHS = -7.8738501277845249E-002 grid col = 1 zm level = 35 height [m] = 4456.5788570000004 RHS = NaN grid col = 1 zt level = 35 height [m] = 4568.4208980000003 RHS = -7.0675340868089076E-002 grid col = 1 zm level = 36 height [m] = 4680.2629390000002 RHS = NaN grid col = 1 zt level = 36 height [m] = 4792.1049800000001 RHS = -5.7502899208436251E-002 grid col = 1 zm level = 37 height [m] = 4909.2102049999994 RHS = NaN grid col = 1 zt level = 37 height [m] = 5026.3154299999997 RHS = -4.3710574510490006E-002 grid col = 1 zm level = 38 height [m] = 5143.4206544999997 RHS = NaN grid col = 1 zt level = 38 height [m] = 5260.5258789999998 RHS = -3.0159690706539295E-002 grid col = 1 zm level = 39 height [m] = 5382.8942870000001 RHS = NaN grid col = 1 zt level = 39 height [m] = 5505.2626950000003 RHS = -1.8149896160464238E-002 grid col = 1 zm level = 40 height [m] = 5627.6313475000006 RHS = NaN grid col = 1 zt level = 40 height [m] = 5750.0000000000000 RHS = -6.1400776180423351E-003 grid col = 1 zm level = 41 height [m] = 5875.0000000000000 RHS = NaN grid col = 1 zt level = 41 height [m] = 6000.0000000000000 RHS = 6.1279933881554323E-003 grid col = 1 zm level = 42 height [m] = 6125.0000000000000 RHS = NaN grid col = 1 zt level = 42 height [m] = 6250.0000000000000 RHS = 1.3782693908569421E-002 grid col = 1 zm level = 43 height [m] = 6375.0000000000000 RHS = NaN grid col = 1 zt level = 43 height [m] = 6500.0000000000000 RHS = 2.0965390298610189E-002 grid col = 1 zm level = 44 height [m] = 6625.0000000000000 RHS = NaN grid col = 1 zt level = 44 height [m] = 6750.0000000000000 RHS = 2.8148086688650958E-002 grid col = 1 zm level = 45 height [m] = 6875.0000000000000 RHS = NaN grid col = 1 zt level = 45 height [m] = 7000.0000000000000 RHS = 3.3435385376444561E-002 grid col = 1 zm level = 46 height [m] = 7125.0000000000000 RHS = NaN grid col = 1 zt level = 46 height [m] = 7250.0000000000000 RHS = 3.6571234224301988E-002 grid col = 1 zm level = 47 height [m] = 7375.0000000000000 RHS = NaN grid col = 1 zt level = 47 height [m] = 7500.0000000000000 RHS = 3.9707083072159408E-002 grid col = 1 zm level = 48 height [m] = 7625.0000000000000 RHS = NaN grid col = 1 zt level = 48 height [m] = 7750.0000000000000 RHS = 4.2842931920016834E-002 grid col = 1 zm level = 49 height [m] = 7875.0000000000000 RHS = NaN grid col = 1 zt level = 49 height [m] = 8000.0000000000000 RHS = 4.6309526696799330E-002 grid col = 1 zm level = 50 height [m] = 8125.0000000000000 RHS = NaN grid col = 1 zt level = 50 height [m] = 8250.0000000000000 RHS = 4.9928803487684012E-002 grid col = 1 zm level = 51 height [m] = 8375.0000000000000 RHS = NaN grid col = 1 zt level = 51 height [m] = 8500.0000000000000 RHS = 5.3548080278568694E-002 grid col = 1 zm level = 52 height [m] = 8625.0000000000000 RHS = NaN grid col = 1 zt level = 52 height [m] = 8750.0000000000000 RHS = 5.7167357069453369E-002 grid col = 1 zm level = 53 height [m] = 8875.0000000000000 RHS = NaN grid col = 1 zt level = 53 height [m] = 9000.0000000000000 RHS = 6.0011205842436952E-002 grid col = 1 zm level = 54 height [m] = 9125.0000000000000 RHS = NaN grid col = 1 zt level = 54 height [m] = 9250.0000000000000 RHS = 6.1998772075982138E-002 grid col = 1 zm level = 55 height [m] = 9375.0000000000000 RHS = NaN grid col = 1 zt level = 55 height [m] = 9500.0000000000000 RHS = 6.3986338309527324E-002 grid col = 1 zm level = 56 height [m] = 9625.0000000000000 RHS = NaN grid col = 1 zt level = 56 height [m] = 9750.0000000000000 RHS = 6.5973904543072517E-002 grid col = 1 zm level = 57 height [m] = 9875.0000000000000 RHS = NaN grid col = 1 zt level = 57 height [m] = 10000.000000000000 RHS = 6.7961470776617711E-002 grid col = 1 zm level = 58 height [m] = 10125.000000000000 RHS = NaN grid col = 1 zt level = 58 height [m] = 10250.000000000000 RHS = 6.7013567312703984E-002 grid col = 1 zm level = 59 height [m] = 10375.000000000000 RHS = NaN grid col = 1 zt level = 59 height [m] = 10500.000000000000 RHS = 6.4879903555994073E-002 grid col = 1 zm level = 60 height [m] = 10625.000000000000 RHS = NaN grid col = 1 zt level = 60 height [m] = 10750.000000000000 RHS = 6.2746239799284148E-002 grid col = 1 zm level = 61 height [m] = 10875.000000000000 RHS = NaN grid col = 1 zt level = 61 height [m] = 11000.000000000000 RHS = 6.0612576042574223E-002 grid col = 1 zm level = 62 height [m] = 11125.000000000000 RHS = NaN grid col = 1 zt level = 62 height [m] = 11250.000000000000 RHS = 5.8478912285864305E-002 grid col = 1 zm level = 63 height [m] = 11375.000000000000 RHS = NaN grid col = 1 zt level = 63 height [m] = 11500.000000000000 RHS = 5.6111383226291840E-002 grid col = 1 zm level = 64 height [m] = 11625.000000000000 RHS = NaN grid col = 1 zt level = 64 height [m] = 11750.000000000000 RHS = 5.2571129330630996E-002 grid col = 1 zm level = 65 height [m] = 11875.000000000000 RHS = NaN grid col = 1 zt level = 65 height [m] = 12000.000000000000 RHS = 4.9030875434970145E-002 grid col = 1 zm level = 66 height [m] = 12125.000000000000 RHS = NaN grid col = 1 zt level = 66 height [m] = 12250.000000000000 RHS = 4.5490621539309301E-002 grid col = 1 zm level = 67 height [m] = 12375.000000000000 RHS = NaN grid col = 1 zt level = 67 height [m] = 12500.000000000000 RHS = 4.1950367643648456E-002 grid col = 1 zm level = 68 height [m] = 12625.000000000000 RHS = NaN grid col = 1 zt level = 68 height [m] = 12750.000000000000 RHS = 3.8410113747987619E-002 grid col = 1 zm level = 69 height [m] = 12875.000000000000 RHS = NaN grid col = 1 zt level = 69 height [m] = 13000.000000000000 RHS = 3.4869859852326768E-002 grid col = 1 zm level = 70 height [m] = 13125.000000000000 RHS = NaN grid col = 1 zt level = 70 height [m] = 13250.000000000000 RHS = 3.1669666483501765E-002 grid col = 1 zm level = 71 height [m] = 13375.000000000000 RHS = NaN grid col = 1 zt level = 71 height [m] = 13500.000000000000 RHS = 2.8957560027459854E-002 grid col = 1 zm level = 72 height [m] = 13625.000000000000 RHS = NaN grid col = 1 zt level = 72 height [m] = 13750.000000000000 RHS = 2.6245453571417943E-002 grid col = 1 zm level = 73 height [m] = 13875.000000000000 RHS = NaN grid col = 1 zt level = 73 height [m] = 14000.000000000000 RHS = 2.3533347115376035E-002 grid col = 1 zm level = 74 height [m] = 14125.000000000000 RHS = NaN grid col = 1 zt level = 74 height [m] = 14250.000000000000 RHS = 2.0821240659334123E-002 grid col = 1 zm level = 75 height [m] = 14375.000000000000 RHS = NaN grid col = 1 zt level = 75 height [m] = 14500.000000000000 RHS = 1.8109134203292212E-002 grid col = 1 zm level = 76 height [m] = 14625.000000000000 RHS = NaN grid col = 1 zt level = 76 height [m] = 14750.000000000000 RHS = 1.5397027747250302E-002 grid col = 1 zm level = 77 height [m] = 14875.000000000000 RHS = NaN grid col = 1 zt level = 77 height [m] = 15000.000000000000 RHS = 1.2684921291208389E-002 grid col = 1 zm level = 78 height [m] = 15125.000000000000 RHS = NaN grid col = 1 zt level = 78 height [m] = 15250.000000000000 RHS = 9.9728148351664794E-003 grid col = 1 zm level = 79 height [m] = 15375.000000000000 RHS = NaN grid col = 1 zt level = 79 height [m] = 15500.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 80 height [m] = 15625.000000000000 RHS = NaN grid col = 1 zt level = 80 height [m] = 15750.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 81 height [m] = 15875.000000000000 RHS = NaN grid col = 1 zt level = 81 height [m] = 16000.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 82 height [m] = 16125.000000000000 RHS = NaN grid col = 1 zt level = 82 height [m] = 16250.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 83 height [m] = 16375.000000000000 RHS = NaN grid col = 1 zt level = 83 height [m] = 16500.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 84 height [m] = 16625.000000000000 RHS = NaN grid col = 1 zt level = 84 height [m] = 16750.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 85 height [m] = 16875.000000000000 RHS = NaN grid col = 1 zt level = 85 height [m] = 17000.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 86 height [m] = 17125.000000000000 RHS = NaN grid col = 1 zt level = 86 height [m] = 17250.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 87 height [m] = 17375.000000000000 RHS = NaN grid col = 1 zt level = 87 height [m] = 17500.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 88 height [m] = 17625.000000000000 RHS = NaN grid col = 1 zt level = 88 height [m] = 17750.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 89 height [m] = 17875.000000000000 RHS = NaN grid col = 1 zt level = 89 height [m] = 18000.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 90 height [m] = 18125.000000000000 RHS = NaN grid col = 1 zt level = 90 height [m] = 18250.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 91 height [m] = 18375.000000000000 RHS = NaN grid col = 1 zt level = 91 height [m] = 18500.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 92 height [m] = 18625.000000000000 RHS = NaN grid col = 1 zt level = 92 height [m] = 18750.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 93 height [m] = 18875.000000000000 RHS = NaN grid col = 1 zt level = 93 height [m] = 19000.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 94 height [m] = 19125.000000000000 RHS = NaN grid col = 1 zt level = 94 height [m] = 19250.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 95 height [m] = 19375.000000000000 RHS = NaN grid col = 1 zt level = 95 height [m] = 19500.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 96 height [m] = 19625.000000000000 RHS = NaN grid col = 1 zt level = 96 height [m] = 19750.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 97 height [m] = 19875.000000000000 RHS = NaN grid col = 1 zt level = 97 height [m] = 20000.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 98 height [m] = 20125.000000000000 RHS = NaN grid col = 1 zt level = 98 height [m] = 20250.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 99 height [m] = 20375.000000000000 RHS = NaN grid col = 1 zt level = 99 height [m] = 20500.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 100 height [m] = 20625.000000000000 RHS = NaN grid col = 1 zt level = 100 height [m] = 20750.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 101 height [m] = 20875.000000000000 RHS = NaN grid col = 1 zt level = 101 height [m] = 21000.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 102 height [m] = 21125.000000000000 RHS = NaN grid col = 1 zt level = 102 height [m] = 21250.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 103 height [m] = 21375.000000000000 RHS = NaN grid col = 1 zt level = 103 height [m] = 21500.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 104 height [m] = 21625.000000000000 RHS = NaN grid col = 1 zt level = 104 height [m] = 21750.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 105 height [m] = 21875.000000000000 RHS = NaN grid col = 1 zt level = 105 height [m] = 22000.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 106 height [m] = 22125.000000000000 RHS = NaN grid col = 1 zt level = 106 height [m] = 22250.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 107 height [m] = 22375.000000000000 RHS = NaN grid col = 1 zt level = 107 height [m] = 22500.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 108 height [m] = 22625.000000000000 RHS = NaN grid col = 1 zt level = 108 height [m] = 22750.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 109 height [m] = 22875.000000000000 RHS = NaN grid col = 1 zt level = 109 height [m] = 23000.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 110 height [m] = 23125.000000000000 RHS = NaN grid col = 1 zt level = 110 height [m] = 23250.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 111 height [m] = 23375.000000000000 RHS = NaN grid col = 1 zt level = 111 height [m] = 23500.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 112 height [m] = 23625.000000000000 RHS = NaN grid col = 1 zt level = 112 height [m] = 23750.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 113 height [m] = 23875.000000000000 RHS = NaN grid col = 1 zt level = 113 height [m] = 24000.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 114 height [m] = 24125.000000000000 RHS = NaN grid col = 1 zt level = 114 height [m] = 24250.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 115 height [m] = 24375.000000000000 RHS = NaN grid col = 1 zt level = 115 height [m] = 24500.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 116 height [m] = 24625.000000000000 RHS = NaN grid col = 1 zt level = 116 height [m] = 24750.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 117 height [m] = 24875.000000000000 RHS = NaN grid col = 1 zt level = 117 height [m] = 25000.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 118 height [m] = 25125.000000000000 RHS = NaN grid col = 1 zt level = 118 height [m] = 25250.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 119 height [m] = 25375.000000000000 RHS = NaN grid col = 1 zt level = 119 height [m] = 25500.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 120 height [m] = 25625.000000000000 RHS = NaN grid col = 1 zt level = 120 height [m] = 25750.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 121 height [m] = 25875.000000000000 RHS = NaN grid col = 1 zt level = 121 height [m] = 26000.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 122 height [m] = 26125.000000000000 RHS = NaN grid col = 1 zt level = 122 height [m] = 26250.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 123 height [m] = 26375.000000000000 RHS = NaN grid col = 1 zt level = 123 height [m] = 26500.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 124 height [m] = 26625.000000000000 RHS = NaN grid col = 1 zt level = 124 height [m] = 26750.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 125 height [m] = 26875.000000000000 RHS = NaN grid col = 1 zt level = 125 height [m] = 27000.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 126 height [m] = 27125.000000000000 RHS = NaN grid col = 1 zt level = 126 height [m] = 27250.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 127 height [m] = 27375.000000000000 RHS = NaN grid col = 1 zt level = 127 height [m] = 27500.000000000000 RHS = 9.9728106666666667E-003 grid col = 1 zm level = 128 height [m] = 27625.000000000000 RHS = 0.0000000000000000 Fatal error in CLUBB - MPI Process 1 / Chunk index 1 Column index not available. Latitude/Longitude for column 1: 15.00/-56.50 Latitude range from -90 to 90 degrees, Longitude range from -180 to 180 degrees Error in advance_xm_wpxp Intent(in) zt = 25.000000000000000 50.000000000000000 105.26315310000000 160.52630619999999 226.31575010000000 292.10519410000001 368.42095949999998 444.73672490000001 531.57879639999999 618.42089840000006 715.78930660000003 813.15771480000001 921.05249019999997 1028.9472659999999 1147.3684080000000 1265.7894289999999 1394.7368160000001 1523.6840820000000 1663.1577150000001 1802.6314700000000 1952.6315920000000 2102.6315920000002 2263.1579590000001 2423.6843260000001 2594.7368160000001 2765.7895509999998 2947.3686520000001 3128.9475100000000 3321.0527339999999 3513.1579590000001 3715.7895509999998 3918.4211430000000 4131.5791019999997 4344.7368159999996 4568.4208980000003 4792.1049800000001 5026.3154299999997 5260.5258789999998 5505.2626950000003 5750.0000000000000 6000.0000000000000 6250.0000000000000 6500.0000000000000 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Latitude/Longitude for column 1: 15.00/-56.50 Latitude range from -90 to 90 degrees, Longitude range from -180 to 180 degrees Error calling advance_xm_wpxp in advance_clubb_core Fatal error in CLUBB - MPI Process 1 / Chunk index 1 Column index not available. Latitude/Longitude for column 1: 15.00/-56.50 Latitude range from -90 to 90 degrees, Longitude range from -180 to 180 degrees Fatal error advance_clubb_core in API module Fatal error in CLUBB - MPI Process 1 / Chunk index 1 Column index not available. Latitude/Longitude for column 1: 15.00/-56.50 Latitude range from -90 to 90 degrees, Longitude range from -180 to 180 degrees Fatal error in advance_clubb_core, check your parameter values and timestep Writing timing results to: /home/jenkins/workspace/clubb_error_handling_gfortran_test/output/arm_97.timing Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG ERROR STOP Fatal error in clubb, check your parameter values and timestep Error termination. Backtrace: #0 0x403920 in ??? #1 0x4036de in ??? #2 0x76ddf2029d8f in __libc_start_call_main at ../sysdeps/nptl/libc_start_call_main.h:58 #3 0x76ddf2029e3f in __libc_start_main_impl at ../csu/libc-start.c:392 #4 0x403704 in ??? #5 0xffffffffffffffff in ??? -------------------------------------------------- run_scm.py total runtime: 0.92 s -------------------------------------------------- Error detection summary: PASS: advance_wp2_wp3_bad_wp2: found 'Error calling advance_wp2_wp3' PASS: advance_xm_wpxp_bad_wp2: found 'Error calling advance_xm_wpxp' [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Declarative: Post Actions) [Pipeline] script [Pipeline] { [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is used... [WS-CLEANUP] done [Pipeline] } [Pipeline] // script [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] End of Pipeline Finished: SUCCESS