Started by an SCM change83d3946a586f66f155af6c32d7c6f9ed92389388cfd3946a586f66f155af6c32d7c6f9ed92389388cforigin/masterd3946a586f66f155af6c32d7c6f9ed92389388cfd3946a586f66f155af6c32d7c6f9ed92389388cforigin/master81c7eb33836dd22870dc48b2acd2b5b340dbeef909c7eb33836dd22870dc48b2acd2b5b340dbeef909origin/changes_to_not_breakc7eb33836dd22870dc48b2acd2b5b340dbeef909c7eb33836dd22870dc48b2acd2b5b340dbeef909origin/changes_to_not_break513f35a31dde09ad32f80dd429c5dfa9a098e78b62bf35a31dde09ad32f80dd429c5dfa9a098e78b62brefs/remotes/origin/masterf35a31dde09ad32f80dd429c5dfa9a098e78b62bf35a31dde09ad32f80dd429c5dfa9a098e78b62brefs/remotes/origin/masterf35a31dde09ad32f80dd429c5dfa9a098e78b62bf35a31dde09ad32f80dd429c5dfa9a098e78b62brefs/remotes/origin/masterhttps://github.com/larson-group/wrf.gitfalse#51360635744683526wrf_clubb_plot_ifort #513513false5139822SUCCESS1791189607885http://carson.math.uwm.edu/jenkins/view/Production%20View/job/wrf_clubb_plot_ifort/513/generate_uniform_sample_module.F90parameters_silhs.F90latin_hypercube_driver_module.F90d0b2c1b6296142cb4af292010557249991c1e7141791158488000http://carson.math.uwm.edu/jenkins/user/noreplynoreplynoreply@github.comJax silhs (#1372) Adding silhs to jax. To avoid randomness issues I added a silhs flag, l_lh_deterministic_test, that causes samples and random numbers to be generated in a deterministic order that is pretty basic but seems like a fine enough sampling method for a test that only matters for comparing jax to fortran matching. This required changing the fortran to have this deterministic test sample generation. I added 3 new silhs tests: rico_silhs with a 60s timestep matches up to 360 timestpes (6 hours) lba_kk_silhs (lba with kk microphys instead of defauly morrison) passes up to 270ish steps, I set test to 240 steps lba_silhs (with morrison) passes <80, from past exploration this seems mainly due to morrison being in single precision * Port SILHS sampling and microphysics coupling to JAX Add native JAX Latin-hypercube sampling with explicit persistent permutation state and case-owned initialization. Couple sampled states to KK and Morrison microphysics in interactive and diagnostic modes, with weighted statistics, substep averaging, and fatal-path/configuration guards. Preserve Fortran routine structure, argument grouping, and source comments throughout SILHS and the microphysics interface layer. Leave Fortran, MT95, and the KK/Morrison numerical cores unchanged. Validation: 103 focused sampling/interface/error-path checks and eight real SILHS driver checks pass. Earlier interface/support validation and the 20-pair disabled-SILHS JAX/Fortran comparison also pass. Enabled SILHS random stream parity is deferred to a future common-random-input comparison. * Add deterministic SILHS comparisons and initialize JAX output grids Add a default-off l_lh_deterministic_test flag to Fortran and JAX. Use ordered strata and a shared four-value, binary-exact draw cycle in the high-level LHS and overlap-pool routines, preserving sequence reuse and leaving the native random generators unchanged. Reject independent importance sampling and random starts in this comparison mode. Add interactive RICO, LBA KK and native LBA Morrison configurations to the JAX/Fortran comparison suite without relaxing the existing tolerances. Initialize SILHS host statistics from JAX case setup so reduced statistics files also contain Fortran's lh_zt and lh_sample_number coordinates. Validation: Fortran build and source checks pass; 581 raw sampling values match exactly; 59 sampler/contract/forwarding checks and 46 output/support checks pass. RICO matches through 360 steps at 60s with standard statistics and with reduced statistics at debug 0. Document the remaining comparison limits: LBA KK's repeating-cycle Nrp2 difference starts at saved prefix 274, while its configured cap remains 275. Native Morrison's selected scope was verified with midpoint inputs; the repeating-cycle comparison was not rerun after the requested stop. * Match Fortran SILHS sampling precision and overlap Preserve default-real rounding in inverse-normal coefficients before promotion to the sample dtype. Apply vertical overlap to starting-level straight Monte Carlo samples and retain source sampling failure status. Add a live Fortran inverse-normal oracle and regressions for overlap and the source sample-count check. Keep comparison limits and tolerances. * Restore SILHS diagnostics and microphysics host error guards Carry weight-limiter and Kessler diagnostic failures through compiled returns and ErrInfo. Preserve Fortran debug guards at the host boundaries so negative-debug tracing can retain per-column failure status. Write ordered microphysics/SILHS settings and approximate correlations from initialization into the standalone setup file. Keep report lifetime and output-name resolution outside the timestep driver. Add focused failure/report regressions and update the port notes with repeating-input comparisons and the native Morrison compiler sensitivity. * Document deterministic SILHS comparison patterns Explain the ordered permutation, repeating within-stratum offsets and overlap pool at every Fortran deterministic randomness override. Mirror the explanation in JAX, including index phases, sequence reuse and independence from RNG state. Executable statements are unchanged in both implementations; source/AST checks confirm these changes only add comments. * Use definition decorators for microphysics JIT boundaries Move the existing PDF preparation, scheme tendency and hydrometeor transport JIT boundaries onto their routine definitions with @partial(jax.jit, ...). Keep the static arguments unchanged and call the source-named routines directly from the standalone driver. Update host injection and source-order checks for the canonical routine names. Lightweight error/feedback fixtures still check eager and compiled routine bodies; real standalone runs exercise the decorated entry points. Validation: 140 focused tests; 28 passed, 2435 warnings in 453.39s (0:07:33); unchanged RICO360/LBAKK275 strict comparisons; supported whole-driver and reverse-mode tracing. * Simplify deterministic SILHS sampling comments Describe the repeatable-testing branches directly, with their base values and index offsets. Show the first twelve pool entries for four columns, grouped by sample, and use the same concise descriptions in the Fortran and JAX mirrors. Only comments and argument documentation change; executable code is unchanged. * Exclude E3SM from host compatibility updates Keep the exclusion visible in shortcut discovery and the host workflow. Treat sys_admin mappings as synchronization metadata, not the active host list. * Shortening tests timesteps a bit and adding a space for niceness 2026-10-04 19:01:28 -0500d0b2c1b6296142cb4af292010557249991c1e714Jax silhs (#1372)editgenerate_uniform_sample_module.F90editlatin_hypercube_driver_module.F90editparameters_silhs.F90WRF/phys/module_bl_clubb.Fbd476bf46e7066ccc82c9ed360188e61a8bae8211791158515000http://carson.math.uwm.edu/jenkins/user/noreplynoreplynoreply@github.comUpdate SILHS initialization for deterministic sampling flag (#151) Collect the new configuration-default output and pass it to the initializer, retaining the default false value and host namelists. Requires the separate SILHS source synchronization from CLUBB PR 1372. Validated actual calls against the updated API and preserved defaults; vendored CLUBB/SILHS paths remain untouched. 2026-10-04 19:01:55 -0500bd476bf46e7066ccc82c9ed360188e61a8bae821Update SILHS initialization for deterministic sampling flag (#151)editWRF/phys/module_bl_clubb.FREADMEstats.json00715adfc69b2835babb226d3f63f15f027516871791171498000http://carson.math.uwm.edu/jenkins/user/noreplynoreplynoreply@github.comAdd hierarchical JSON statistics selection and Dash editor (#1378) * Add hierarchical JSON stats selection and Dash editor * Ignore locally saved custom stats configurations 2026-10-04 22:38:18 -050000715adfc69b2835babb226d3f63f15f02751687Add hierarchical JSON statistics selection and Dash editor (#1378)addstats.jsoneditREADMEgithttp://carson.math.uwm.edu/jenkins/user/noreplynoreplyfalse512http://carson.math.uwm.edu/jenkins/view/Production%20View/job/wrf_clubb_plot_ifort/512/