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 2.8107 1.635 240.654 239.019 265.205 -45.5916 26.186 -19.4056 3.01581 24.6266
RIM1607b - - - - - - - - - X X Premier reglage 607.1 1987_1987 4.4343 3.787 240.438 236.651 262.519 -46.971 25.868 -21.103 3.15755 26.7335
RIM683Std2 - - - - - - - - - X X Regl. 683Std2 1987_1987 12.1335 11.0138 250.721 239.707 263.235 -37.3468 23.528 -13.8188 3.15101 26.5918
RIM683Std3 - - - - - - - - - X X Regl. 683Std3 1987_1987 9.9817 9.007 247.882 238.875 263.145 -40.2053 24.27 -15.9353 3.17488 26.8081
CLC13.833 - - - - - - - - - X X RIM833Std0, cld_lc=0.13 1987_1987 8.7565 7.7028 245.793 238.09 263.022 -42.369 24.932 -17.437 3.17462 26.7603
EPM65.833 - - - - - - - - - X X RIM833Std0, epmax=0.9965 1987_1987 9.8323 8.712 247.215 238.503 263.336 -41.0037 24.833 -16.1707 3.16316 26.864
FAL80.833 - - - - - - - - - X X RIM833Std0, fallv=0.8 1987_1987 10.2216 9.2078 248.773 239.565 263.257 -39.5059 23.692 -15.8139 3.17536 26.7
CDO70.833 - - - - - - - - - X X RIM833Std0, f_cdrag_oce=0.70 1987_1987 12.4216 10.8167 248.717 237.9 262.51 -39.1602 24.61 -14.5502 2.93172 24.2577
CTA36.833 - - - - - - - - - X X RIM833Std0, cld_tau=3600. 1987_1987 1.0679 0.012 235.867 235.855 262.785 -52.1322 26.93 -25.2022 3.18289 26.7544

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)