Idealized large eddy model simulations
<p>This dataset contains matlab and grads output of four large eddy model simulations of the atmospheric boundary layer in Matlab data format. They are used to create figures presented in a paper titled "Large eddy simulations of diurnal entrainment/detrainment of the shallow cumulus clouds in subtropical Western Pacific Ocean". The matlabscripts and figures are in the les_scripts_figs.tar.gz file. Install the *.mat files and dropsonde netcdf files in the following "data" 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. stats_sw.dat for 3D variables and stats_sfc.dat for 2D surface variables of these LES experiments. The name of the variables are listed in their corresponding *.ctl files. </p> <p> >ls data<br> CAMP2EX_AVAPS_RD41_v1_20190927_212721.nc L2<br> CAMP2EX_AVAPS_RD41_v1_20190927_222459.nc L2sst<br> CAMP2EX_AVAPS_RD41_v1_20190928_004304.nc les_grads_L1sst.tar.gz<br> cld_iso.mat les_grads_L1.tar.gz<br> cld_mat.tar.gz les_grads_L2sst.tar.gz<br> cldtb_ent_det.mat les_grads_L2.tar.gz<br> L1 mse_cld_entr.mat<br> L1sst 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. </p> <p>>ls data/L1<br> L1_2721.mat L1_qc_w_tke.mat stats_sm.ctl stats_sw.dat<br> L1_cld_depth.mat stats_sfc.ctl stats_sm.dat<br> L1_mse_cld_entr.mat stats_sfc.dat stats_sw.ctl</p> <p>>ls data/L1sst<br> L1sst_2721.mat stats_sfc.ctl stats_sm.dat<br> L1sst_cld_depth.mat stats_sfc.dat stats_sw.ctl<br> L1sst_mse_cld_entr.mat stats_sm.ctl stats_sw.dat</p> <p>>ls data/L2<br> L2_2723.mat stats_sfc.ctl stats_sm.dat<br> L2_cld_depth.mat stats_sfc.dat stats_sw.ctl<br> L2_mse_cld_entr.mat stats_sm.ctl stats_sw.dat</p> <p>>ls data/L2sst<br> L2sst_2723.mat stats_sfc.ctl stats_sm.dat<br> L2sst_cld_depth.mat stats_sfc.dat stats_sw.ctl<br> L2sst_mse_cld_entr.mat stats_sm.ctl stats_sw.dat<br> </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
ScienceDex for faculty
Your academic CV and NIH biosketch
Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.