Climate Model Assessment Tool

Direct all questions and comments to John Fasullo [ fasullo@ucar.edu ]

August 2019

CMAT v1.0 Multi-Model Repositories

Ensemble Name Mean Overall Score and 1-Sigma Range
CMIP3 Repository Mean Score = 0.68 +/-0.07; Highest Scoring Model: GFDL-CM2.1
CMIP5 Repository Mean Score = 0.74+/-0.05; Highest Scoring Models: CESM1, CNRM-CM5-2
CMIP6 Repository Mean Score = 0.78+/-0.05; Highest Scoring Model: CESM2

CMAT v1.0 Large Ensemble Repositories

Ensemble Name Mean Overall Score and 1-Sigma Range
IPSL LENS Repository Mean Score = 0.71 +/- 0.007
CESM1 LENS Repository Mean Score = 0.80+/-0.011

CMAT v1.0 Synthesis Analyses

Leading Patterns of Bias and EOF Decomposition for Variables of High Expert Consensus Importance (Burrows et al. 2018, Fig 2)

TOA SW Cloud Forcing: EOFs, PCs
Rainfall: EOFs, PCs
TOA LW Cloud Forcing: EOFs, PCs
Sea Level Pressure: EOFs, PCs
500mb Relative Humidity: EOFs, PCs
TOA Absorbed SW Flux: EOFs, PCs
TOA Outgoing LW Flux: EOFs, PCs