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Since the numerical order of operations changes for the argument
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round-off, making this revision not bit-for-bit with the last revision.
This only affects the w_up_in_cloud and w_down_in_cloud statistical
output variables, which in turn are not output as part of
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_class='hudson.plugins.git.GitChangeSet'><affectedPath>advance_wp2_wp3_module.F90</affectedPath><affectedPath>fill_holes.F90</affectedPath><affectedPath>advance_xp2_xpyp_module.F90</affectedPath><affectedPath>advance_clubb_core_module.F90</affectedPath><affectedPath>clubb_api_module.F90</affectedPath><affectedPath>advance_xm_wpxp_module.F90</affectedPath><commitId>ab4282b0f6e0a3a1e3404836c96121fb79a872d4</commitId><timestamp>1661881531000</timestamp><author><absoluteUrl>http://carson.math.uwm.edu/jenkins/user/37674341+huebleruwm</absoluteUrl><fullName>37674341+huebleruwm</fullName></author><authorEmail>37674341+huebleruwm@users.noreply.github.com</authorEmail><comment>Refactored fill_holes_vertical to make GPUization simple. This is BIT_CHANGING, but results are bit-for-bit when using -O0 optimization, thus it is not answer changing. The first pass over each grid column will not parallelize well, the k-loop needs to be done in serial. Maximum parallelization has been exposed for the global hole-filling though, at the cost of occasionally doing unneccesary calculations. larson-group/clubb#972.
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</comment><date>2022-08-30 12:45:31 -0500</date><id>0a21a67e8c0d8373ae4315241b338842259b1d69</id><msg>Moving vertical_avg and vertical_integral to advance_helper_module. larson-group/clubb#972</msg><path><editType>edit</editType><file>clubb_api_module.F90</file></path><path><editType>edit</editType><file>fill_holes.F90</file></path><path><editType>edit</editType><file>stats_clubb_utilities.F90</file></path><path><editType>edit</editType><file>advance_clubb_core_module.F90</file></path><path><editType>edit</editType><file>mono_flux_limiter.F90</file></path><path><editType>edit</editType><file>advance_helper_module.F90</file></path></item><item _class='hudson.plugins.git.GitChangeSet'><affectedPath>latin_hypercube_driver_module.F90</affectedPath><commitId>18677b4114aff3b59943c43e9207fc7a8630060e</commitId><timestamp>1661881531000</timestamp><author><absoluteUrl>http://carson.math.uwm.edu/jenkins/user/37674341+huebleruwm</absoluteUrl><fullName>37674341+huebleruwm</fullName></author><authorEmail>37674341+huebleruwm@users.noreply.github.com</authorEmail><comment>Moving vertical_avg and vertical_integral to advance_helper_module. larson-group/clubb#972
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_class='org.jenkinsci.plugins.displayurlapi.actions.RunDisplayAction'></action><action _class='org.jenkinsci.plugins.pipeline.modeldefinition.actions.RestartDeclarativePipelineAction'></action><action></action><action _class='org.jenkinsci.plugins.workflow.job.views.FlowGraphAction'></action><action></action><action></action><action></action><building>false</building><displayName>#210</displayName><duration>1913064</duration><estimatedDuration>3073772</estimatedDuration><fullDisplayName>sam_micro_drizzle_intel_test #210</fullDisplayName><id>210</id><keepLog>false</keepLog><number>210</number><queueId>17593</queueId><result>SUCCESS</result><timestamp>1660723390414</timestamp><url>http://carson.math.uwm.edu/jenkins/view/all/job/sam_micro_drizzle_intel_test/210/</url><changeSet _class='hudson.plugins.git.GitChangeSetList'><item _class='hudson.plugins.git.GitChangeSet'><affectedPath>pdf_closure_module.F90</affectedPath><commitId>a7de6b09f4f0e09b48f663e2432b3e98b29bfe60</commitId><timestamp>1660699106000</timestamp><author><absoluteUrl>http://carson.math.uwm.edu/jenkins/user/bmg2</absoluteUrl><fullName>bmg2</fullName></author><authorEmail>bmg2@uwm.edu</authorEmail><comment>I altered the w_up_in_cloud and w_down_in_cloud code so that a
thresholding is used similar to what is seen in the cloud fraction
and cloud water code.  If the PDF component mean of w more than
the maximum allow number of standard deviations away from 0, the
PDF component is either all-updrafty or all-downdrafty, and the
code avoids expensive computations where large magnitude values
can potentially be fed into ERF or EXP.

Of course, the results are not bit-for-bit with the previous version,
meaning that there are some situations where these thresholds come
into effect.  However, plots of all cases show no visible differences
in w_up_in_cloud and w_down_in_cloud.

Since w_up_in_cloud and w_down_in_cloud are not included in normal
stats output, this commit does not change the bit-for-bitness of
CLUBB code.
</comment><date>2022-08-16 20:18:26 -0500</date><id>a7de6b09f4f0e09b48f663e2432b3e98b29bfe60</id><msg>I altered the w_up_in_cloud and w_down_in_cloud code so that a</msg><path><editType>edit</editType><file>pdf_closure_module.F90</file></path></item><kind>git</kind></changeSet><culprit><absoluteUrl>http://carson.math.uwm.edu/jenkins/user/bmg2</absoluteUrl><fullName>bmg2</fullName></culprit><inProgress>false</inProgress><nextBuild><number>211</number><url>http://carson.math.uwm.edu/jenkins/view/all/job/sam_micro_drizzle_intel_test/211/</url></nextBuild><previousBuild><number>209</number><url>http://carson.math.uwm.edu/jenkins/view/all/job/sam_micro_drizzle_intel_test/209/</url></previousBuild></previousBuild></workflowRun>