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
CLC12.6010 - - - - - - - - - X X Reglage 6010v1 couple (rechauffer 1C) 1987_1987 4.952 5.0274 245.316 240.289 261.85 -41.2129 21.561 -19.6519 3.15848 25.1603
EPM98.FAL0610 - - - - - - - - - X X Reglage 6010v2 avec plus nuages hauts 1987_1987 4.4602 4.508 240.967 236.459 261.724 -45.4775 25.265 -20.2125 3.14163 25.1333
RIV60103b - - - - - - - - - X X Reference reg. 103b 1987_1987 1.5953 1.822 239.818 237.996 262.213 -46.4046 24.217 -22.1876 3.10858 25.5773
REX80.RIV103b - - - - - - - - - X X RIV60103b, rei_max=80.(61.29) 1987_1987 2.3418 2.493 241.57 239.077 262.063 -44.6681 22.986 -21.6821 3.11912 25.4245
REN35X30.RIV103b - - - - - - - - - X X RIV60103b, rei_min=3.5 (16.), rei_max=30.(61.29) 1987_1987 -0.2418 0.004 231.422 231.418 261.989 -54.8041 30.571 -24.2331 2.98595 26.3308
REN30.RIV103b - - - - - - - - - X X RIV60103b, rei_min=30.(16.) 1987_1987 1.8827 2.033 241.291 239.258 262.066 -44.9251 22.808 -22.1171 3.1241 25.3469
REN30X80.RIV103b - - - - - - - - - X X RIV60103b, rei_min=30.(16.), rei_max=80.(61.29) 1987_1987 2.3967 2.5283 242.634 240.106 261.997 -43.5469 21.891 -21.6559 3.13607 25.2911

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)