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

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
V5.70a - - - - - - - - - X X Run force de l'ete, V5.70a 1980_1989 2.9 1.681 240.822 239.141 265.184 -45.199 26.043 -19.156 2.97846 24.828
CM608.6-LR-pdCtrl-01 - - - - - - - - - X X Couple RIM6086 + coef_eva=4e-5 + pmagic= 0.01 2040_2049 2.2319 2.576 245.202 242.626 264.875 -41.3089 22.249 -19.0599 3.2081 25.1734
RIM6010ForC - - - - - - - - - X X RIM6010curie (2864/4261) + good anthropic aerosols 1987_1987 1.212 1.278 241.812 240.534 262.624 -44.5383 22.09 -22.4483 3.19976 25.28
RIM6010ForC45 - - - - - - - - - X X RIM6010curie (2845/4261) + good anthropic aerosols 1987_1987 1.0963 1.2376 241.976 240.738 262.808 -44.428 22.07 -22.358 3.20297 25.1524

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)