Climate Model Assessment Tool
Summary of output from CMATv1 as described in Fasullo GMD, 2020.
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 |
