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These files are outputs of GISS-ModelE3 (Cesana et al., 2021) for the lat-lon grid model (144x90x110) and for the configuration named "Tun2" (705ml). There are two monthly mean AMIP runs from 2007 to 2012, one with the effect of precipitation on the radiation scheme (the control run) and one without the effect of large-scale precipitation on the radiation scheme (lsprec0). There are 4 files per run, which contain the following variables: - 3DIce: 3D cloud related variables on the models' grid (110 levels) - 3DEnv: 3D meteorological related variables on the models' grid (110 levels) - Pmid: 3D pressure at models' mid levels (110 levels) - xaij: 2D cloud, radiation and meteorological variables Reference: Cesana, G.V., A.S. Ackerman, A.M. Fridlind, I. Silber, and M. Kelley, 2021: Snow reconciles observed and simulated phase partitioning and doubles cloud feedback. Geophys. Res. Lett., 48, no. 20, e2021GL094876, doi:10.1029/2021GL094876. Cesana, G., A.D. Del Genio, A.S. Ackerman, M. Kelley, G. Elsaesser, A.M. Fridlind, Y. Cheng, and M.-S. Yao, 2019: Evaluating models' response of tropical low clouds to SST forcings using CALIPSO observations. Atmos. Chem. Phys., 19, 2813-2832, doi:10.5194/acp-19-2813-2019.
GCM, cloud, GISS, ModelE3, radiation, precipitation, AMIP
GCM, cloud, GISS, ModelE3, radiation, precipitation, AMIP
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