Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : CM609-LR-pdCtrl-Gust

RUN Atlas YEAR Atlas --DJF-- Atlas --JJA-- Outputs Model Parameters Tested Parameter Period bils rt rst rlut rlutcs crest crelt cret eva pr prw
CLIMATOS 7.097 0.7823 240.4 239.6 269.4 -47.05 29.84 -17.21 3.415 2.61 27.46
CM609-LR-pdCtrl-Gust G N - G N - G N - X X CM609 NUD 1950_1950 -1999998 -999999 0 999999 999999 0 0 0 999999 999999
CM609-LR-pdCtrl-Gust-nudUV12h G N - G N - G N - X X CM609 NUD U,V 1980_1980 -1999998 -999999 0 999999 999999 0 0 0 999999 999999

Metrics computation

RMSE (Root Mean Square Error) between models and reference datasets (observations or reanalyses depending on the variable; identified at the top of the columns). The RMSE are computed on a 12-month climatological annual cycle (spatio-temporal variability + mean); they mix the information on the spatio-temporal correlation and standard-deviation ratio, as well as the mean bias. The results are shown in % of the average RMSE obtained for the set of simulations chosen as reference. A result of -10 indicates that this error is 10% lower than the average of the errors of the reference simulations.  Basically these metrics provide an overall view on whether the simulations are closer to or further of a set of reference simulations (say, the AMIP simulations, an AR4 simulation...)

Metrics with respect to forced-by-SST AMIP multi model

Metrics with respect to coupled CMIP5 simulations (historical)

Metrics with respect to IPSLCM5A-LR (clim A verifier)