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Idealized large eddy model simulations

<p>This dataset contains matlab and grads output of four&nbsp;large eddy model simulations of the atmospheric boundary layer in Matlab data format.&nbsp;&nbsp;They are used to create figures presented in a paper titled &quot;Large eddy simulations of diurnal entrainment/detrainment of the shallow cumulus clouds in subtropical Western Pacific Ocean&quot;. The matlabscripts and figures are in the&nbsp;les_scripts_figs.tar.gz file. Install the *.mat files and dropsonde netcdf files in the following &quot;data&quot; directory tree structure, then the figures can be recreated by running the matlabscripts. The *.ctl and *.dat files are the grads output that contains a 10 min interval statistics of model variables, i.e.&nbsp;stats_sw.dat for 3D variables and&nbsp;stats_sfc.dat for 2D surface variables of these LES experiments. The name of the variables are listed in their corresponding *.ctl files.&nbsp;</p> <p>&nbsp;&gt;ls data<br> CAMP2EX_AVAPS_RD41_v1_20190927_212721.nc &nbsp;L2<br> CAMP2EX_AVAPS_RD41_v1_20190927_222459.nc &nbsp;L2sst<br> CAMP2EX_AVAPS_RD41_v1_20190928_004304.nc &nbsp;les_grads_L1sst.tar.gz<br> cld_iso.mat &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; les_grads_L1.tar.gz<br> cld_mat.tar.gz &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;les_grads_L2sst.tar.gz<br> cldtb_ent_det.mat &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; les_grads_L2.tar.gz<br> L1 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;mse_cld_entr.mat<br> L1sst &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; tke_cld_all.mat</p> <p>The L1, L1sst, L2, and L2sst are the subdirectories under data. Install the following files in their corresponding experiment subdirectory.&nbsp;</p> <p>&gt;ls data/L1<br> L1_2721.mat &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;L1_qc_w_tke.mat &nbsp;stats_sm.ctl &nbsp;stats_sw.dat<br> L1_cld_depth.mat &nbsp; &nbsp; stats_sfc.ctl &nbsp; &nbsp;stats_sm.dat<br> L1_mse_cld_entr.mat &nbsp;stats_sfc.dat &nbsp; &nbsp;stats_sw.ctl</p> <p>&gt;ls data/L1sst<br> L1sst_2721.mat &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;stats_sfc.ctl &nbsp;stats_sm.dat<br> L1sst_cld_depth.mat &nbsp; &nbsp; stats_sfc.dat &nbsp;stats_sw.ctl<br> L1sst_mse_cld_entr.mat &nbsp;stats_sm.ctl &nbsp; stats_sw.dat</p> <p>&gt;ls data/L2<br> L2_2723.mat &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;stats_sfc.ctl &nbsp;stats_sm.dat<br> L2_cld_depth.mat &nbsp; &nbsp; stats_sfc.dat &nbsp;stats_sw.ctl<br> L2_mse_cld_entr.mat &nbsp;stats_sm.ctl &nbsp; stats_sw.dat</p> <p>&gt;ls data/L2sst<br> L2sst_2723.mat &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;stats_sfc.ctl &nbsp;stats_sm.dat<br> L2sst_cld_depth.mat &nbsp; &nbsp; stats_sfc.dat &nbsp;stats_sw.ctl<br> L2sst_mse_cld_entr.mat &nbsp;stats_sm.ctl &nbsp; stats_sw.dat<br> &nbsp;</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

Topics

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