Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : V5.70a

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RUN Atlas YEAR Atlas --DJF-- Atlas --JJA-- Cloud Fraction 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
4.0182 2.883 239.116 236.233 261.991 -46.8091 25.758 -21.0511 2.97091 24.6794
T70p15 - - -
NPv5.70a - - - - - - - - - - - X X X CTRL6.0.5 NPv5.70, autumn cloudth, testing 2669 1981_1981 Calipso Isccp X X Run force de l'ete, V5.70a 1980_1989 5.3587 4.204 239.942 235.738 261.374 -46.1213 25.636 -20.4853 2.98923 24.7538

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 coupled CMIP5 simulations (historical)

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

Metrics with respect to IPSLCM5A-LR (historical)