Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : LMDZ607ion


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
LMDZ607ion G - - G - - G - - X X ion 1980_1999 3.3927 2.108 241.702 239.594 262.69 -45.3089 23.096 -22.2129 3.15169 26.6007
LMDZ607OrogAll G - - G - - G - - X X OrogAll 1980_1999 3.1712 2.025 241.648 239.623 262.71 -45.3045 23.087 -22.2175 3.14666 26.5273
LMDZ607gkdrag G - - G - - G - - X X gkdrag 1980_1999 . . . . . . . . . . .
LMDZ607gkwake G - - G - - G - - X X gkwake 1980_1999 . . . . . . . . . . .
LMDZ607gklift G - - G - - G - - X X gklift 1980_1999 . . . . . . . . . . .

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)