Dataset and code for "A parameterization of non-hydrostatic pressure transport terms in second- and third-order turbulence equations"

<p>Description of included files:</p> <p>&nbsp;</p> <p><strong>Cloud Layers Unified By Binormals (CLUBB) content</strong></p> <p>The zipped up &quot;clubb_release.tar.gz&quot; folder contains the CLUBB code base used to generate the simulations used in this paper.&nbsp; The ifort compiler was used to produce the simulations used in the paper.</p> <p>The zipped up &quot;clubb_files.tar.gz&quot; folder contains&nbsp;BOMEX, DYCOMS2_RF01, and Wangara 1D simulations for&nbsp;&quot;default&quot; runs&nbsp;(without new pressure transport&nbsp;terms) and &quot;new&quot; runs&nbsp;(with new pressure transport terms). Setup files are also included which give the parameter and flag values for each run. The files contained in clubb_files.tar.gz are:</p> <ol> <li>bomex_setup_dflt.txt</li> <li>bomex_zt_dflt.nc</li> <li>bomex_zm_dflt.nc</li> <li>bomex_sfc_dflt.nc</li> <li>dycoms2_rf01_setup_dflt.txt</li> <li>dycoms2_rf01_zt_dflt.nc</li> <li>dycoms2_rf01_zm_dflt.nc</li> <li>dycoms2_rf01_sfc_dflt.nc</li> <li>wangara_setup_dflt.txt</li> <li>wangara_zt_dflt.nc</li> <li>wangara_zm_dflt.nc</li> <li>wangara_sfc_dflt.nc</li> <li>bomex_setup_new.txt</li> <li>bomex_zt_new.nc</li> <li>bomex_zm_new.nc</li> <li>bomex_sfc_new.nc</li> <li>dycoms2_rf01_setup_new.txt</li> <li>dycoms2_rf01_zt_new.nc</li> <li>dycoms2_rf01_zm_new.nc</li> <li>dycoms2_rf01_sfc_new.nc</li> <li>wangara_setup_new.txt</li> <li>wangara_zt_new.nc</li> <li>wangara_zm_new.nc</li> <li>wangara_sfc_new.nc</li> </ol> <p>The CLUBB code base used for this paper can also be obtained by cloning the repo at https://github.com/larson-group/clubb_release.git.&nbsp; The relevant git branch is &quot;stephens_2022_press_trans_paper&quot; and the relevant git commit hash is 937db014df79318655b4fb6a469a7b77529b2e74.&nbsp; Compiled with ifort, the&nbsp;stephens_2022_press_trans_paper branch will generate the &quot;new&quot; simulations without further modifications. &nbsp;To generate the &quot;dflt&quot; simulations, set C_wp2_pr_dfsn = C_wp3_pr_dfsn = 0 in input/tunable_parameters/tunable_parameters.in, and set l_use_tke_in_wp2_wp3_K_dfsn = .false. in input/tunable_parameters/configurable_model_flags.in.</p> <p>&nbsp;</p> <p><strong>System for Atmospheric Modeling (SAM) content</strong></p> <p>SAM LES files with horizontal average variables:</p> <ol> <li>BOMEX_64x64x75_100m_40m_1s.nc</li> <li>DYCOMS_RF01_96x96x320.nc</li> <li>WANGARA_64x64x80_100m_40m_LES.nc</li> </ol> <p>The SAM code base used for this paper can be obtained by cloning the repo at https://github.com/larson-group/sam_clubb.git.&nbsp; The relevant git commit hash is db3e00a09cb5c0503e1bf3a728603fe690cb9a3e. The gfortran compiler was used to generate the runs used in the paper.</p> <p>&nbsp;</p> <p><strong>Python script</strong></p> <p>The included python script &quot;stephens_2022_press_trans_paper_figures.py&quot;&nbsp;can be used along with the SAM and CLUBB files to generate the plots shown in the paper, with some simple&nbsp;user modifications. This script can also be found in the stephens_2022_press_trans_paper branch of the clubb_release repo, in the &quot;postprocessing&quot; folder.</p>