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 - - - - - 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
RIM1607b G - - - - - G - - X X Premier reglage 607.1b 1987_1987 4.4343 3.787 240.438 236.651 262.519 -46.971 25.868 -21.103 3.15755 26.7335
RIM1607bNewIce - - - G - - - - - X X RIM1607b + inertie ther.+alb.,tgl_min,expo=2. 1987_1987 4.9614 4.292 240.742 236.45 262.364 -47.3314 25.914 -21.4174 3.15375 26.7202
CEV45M5.837 - - - - - - - - - X X Regl.608.3:ttop+wdens 1987_1987 4.0176 2.6977 243.934 241.236 263.082 -43.787 21.846 -21.941 3.18836 25.4556
RIM683Std8 - - - - - - - - - X X Regl.608.3 avec + nuages hauts 1987_1987 6.919 5.7103 243.771 238.061 262.494 -44.2078 24.433 -19.7748 3.13679 26.0225
RIM683Std9 G - - - - - - - - X X Regl.608.3 avec + nuages hauts et moyens 1987_1987 4.909 3.732 238.787 235.055 262.604 -49.2878 27.549 -21.7388 3.1068 26.2459
CLC20.838 G - - - - - G - - X X RIM683Std8, cld_lc=0.20 1987_1987 5.5442 4.3372 241.986 237.649 262.468 -46.0524 24.819 -21.2334 3.14573 26.0715
CLC25.838 - - - - - - - - - X X RIM683Std8, cld_lc=0.25 1987_1987 4.1581 2.891 240.147 237.256 262.47 -47.8906 25.214 -22.6766 3.13843 25.978

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)