Better calibration of cloud parameterizations and subgrid effects increases the fidelity of the E3SM Atmosphere Model version 1
Po-Lun Ma et al.
Data sets
Model simulation data https://portal.nersc.gov/archive/home/p/plma/www/eamv1_tunings
ERA5 monthly averaged data on pressure levels from 1979 to present https://doi.org/10.24381/cds.6860a573
Clouds and the Earth's Radiant Energy System (CERES) Energy Balanced and Filled (EBAF) Top-of-Atmosphere (TOA) Edition-4.0 Data Product (https://ceres-tool.larc.nasa.gov/ord-tool/jsp/EBAFTOA41Selection.jsp) https://doi.org/10.1175/jcli-d-17-0208.1
The Global Precipitation Climatology Project (GPCP) Monthly Analysis (New Version 2.3) and a Review of 2017 Global Precipitation (https://psl.noaa.gov/data/gridded/data.gpcp.html) https://doi.org/10.3390/atmos9040138
Giovanni https://giovanni.gsfc.nasa.gov/giovanni/
GES DISC https://disc.gsfc.nasa.gov/
CFMIP Observations for Model evaluation https://climserv.ipsl.polytechnique.fr/cfmip-obs/
Scripts for E3SM_diags used for Ma et al model calibration https://doi.org/10.5281/zenodo.5555094
Model code and software
Energy Exascale Earth System Model v1.0 https://doi.org/10.11578/E3SM/dc.20180418.36