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 G - - G - - G - - 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 G - - G - - G - - 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
RIM681Std1 G - - G - - G - - X X Regl. 681Std1 1987_1987 4.1661 3.3315 244.01 240.678 262.408 -43.9975 21.73 -22.2675 3.23932 26.3194
RIM681Std2 G - - G - - G - - X X RIM681Std1, epmax=0.997 1987_1987 3.5727 2.7609 242.169 239.408 262.69 -45.7838 23.282 -22.5018 3.21322 26.5766
RIM681Std3 G - - G - - G - - X X RIM681Std2, cld_lc=0.21 + fallv=0.7 1987_1987 2.144 1.309 237.122 235.813 262.634 -50.9567 26.821 -24.1357 3.14205 26.9693
CLC10.813 G - - G - - G - - X X RIM681Std3, cld_lc=0.1 1987_1987 5.4273 4.5571 242.153 237.596 263.09 -45.8844 25.494 -20.3904 3.14366 26.9285
CLC20.813 G - - - - - G - - X X RIM681Std3, cld_lc=0.2 1987_1987 2.6403 1.8 237.794 235.994 262.661 -50.2288 26.667 -23.5618 3.13851 26.9341

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)