Cloud Feedbacks in Radiative-Convective Equilibrium with Organized Convection

This repository contains the data and scripts used in a paper submitted to JAMES.

Note: The cloud radiative kernels use rrtmg_lw_rcemip.nc which contains the atmospheric composition data used in RRTMG, from Wing et al. (2018). This can be accessed from https://github.com/clstauffer/cloud_feedbacks_rce/tree/main

DATA

Data	Description
CFB295300_binnedcrh_allmodels_meancrk_taulim00.json	decomposed cloud feedbacks for 295 K to 300 K for all tau bins
CFB295300_binnedcrh_allmodels_meancrk_taulim03.json	decomposed cloud feedbacks for 295 K to 300 K for all but the thinnest tau bins
CFB295305_binnedcrh_allmodels_meancrk_taulim00.json	decomposed cloud feedbacks for 300 K to 305 K for all tau bins
CFB295305_binnedcrh_allmodels_meancrk_taulim03.json	decomposed cloud feedbacks for 300 K to 305 K for all but the thinnest tau bins
CFB300305_binnedcrh_allmodels_meancrk_taulim00.json	decomposed cloud feedbacks for 300 K to 305 K for all tau bins
CFB300305_binnedcrh_allmodels_meancrk_taulim03.json	decomposed cloud feedbacks for 300 K to 305 K for all but the thinnest tau bins
cloudradiativekernels_RCE_large.tar.gz	cloud radiative kernels
isccphistograms_RCE_large_1.tar.gz	ISCCP histograms for CRMS 1/2
isccphistograms_RCE_large_2.tar.gz	ISCCP histograms for CRMS 2/2
isccphistograms_RCE_large_3.tar.gz	ISCCP histograms for GCRMS and mockwalker
isccphistograms_RCE_large_4.tar.gz	ISCCP histograms for CESM2

SCRIPTS

Data	Description
cloud_kernel.py	create a cloud radiative kernel, requires rrtmg_lw_rcemip.nc (see note above)
isccp_hist.py	calculate histogram from ISCCP simulator output
tau_ctp_tbr.py	offline ISCCP simulator