Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : CL5.CWRR90msnowSu.3607.L2546m


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
CL5.CWRR90msnowSu.3607.L2546m - - - - - - - - - X X X Snow Su 1981_1990 0.8778 0.3026 242.992 242.689 266.33 -43.218 23.641 -19.577 3.06445 24.0335
CL5.CWRR90msnowZ0.3607.L2546m - - - - - - - - - X X X Snow Z0 1981_1990 0.766 0.192 242.597 242.405 265.997 -43.6221 23.592 -20.0301 3.0773 24.0491
CL5.CWRR90mSu.3607.L2546m - - - - - - - - - X X X Su 1981_1990 1.5561 0.911 243.681 242.77 266.386 -43.6545 23.616 -20.0385 3.05989 24.1247
CL5.CWRR90mZ0.3607.L2546m - - - - - - - - - X X X Z0 1981_1990 1.3253 0.7133 243.143 242.43 265.946 -43.9942 23.516 -20.4782 3.07295 24.1063
CL5.CWRRcSu.3607.L2546m - - - - - - - - - X X X gel Snow Su 1981_1990 1.0534 0.4847 243.392 242.907 266.512 -42.8523 23.605 -19.2473 3.04494
CL5.CWRR90msnow.3607.L2546m - - - - - - - - - X X X Snow 1981_1990 0.8276 0.255 242.534 242.279 265.866 -43.7001 23.587 -20.1131 3.07757 24.0738

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)