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 - - - - - - - - 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 - - - - - - - - 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
RIM684Std0 G - - - - - - - - X X Regl. 4, regl.837,thermals_closure=2,mix_adiab=1 1987_1987 8.2849 7.3405 249.472 242.132 262.678 -38.5289 20.546 -17.9829 3.12674 25.231
CLC19.840 G - - - - - - - - X X RIM684Std0, cld_lc=0.19 1987_1987 7.4429 6.5176 248.473 241.955 262.675 -39.3911 20.72 -18.6711 3.13108 25.3136
EPM65.840 G - - - - - - - - X X RIM684Std0, epmax=0.9965 1987_1987 7.9508 6.9946 248.332 241.337 262.604 -39.4844 21.267 -18.2174 3.12043 25.3952
FAL90.840 - - - - - - - - - X X RIM684Std0, fallv=0.9 1987_1987 8.3736 7.3986 248.9 241.501 262.765 -39.2135 21.264 -17.9495 3.11286 25.4626
CTA12.840 G - - - - - - - - X X RIM684Std0, cld_tau=1200. 1987_1987 6.8599 5.8639 247.516 241.652 262.663 -40.3655 21.011 -19.3545 3.13087 25.3548
CEV35M5.840 G - - - - - - - - X X RIM683Std7, coef_eva=3.5e-5 1987_1987 8.5639 7.5545 249.902 242.348 262.759 -37.9936 20.411 -17.5826 3.12196 25.249

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)