Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : NPv5.8Z0

RUN Atlas YEAR Atlas --DJF-- Atlas --JJA-- Cloud Fraction 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
NPv5.8Z0 G - - - - - - - - Calipso Isccp X X Z0 CTRL AMIP 1980_1989 4.71 3.5846 243.378 239.793 263.141 -45.5687 23.348 -22.2207 3.07645 26.7899
NPv5.8GUST G - - - - - - - - Calipso Isccp X X GUSTINESS AMIP 1985_1989 3.1354 1.9565 242.304 240.348 263.778 -46.696 23.43 -23.266 3.07991 26.9273
CM606.Z0 G - - - - - - - - X X X Z0 CTRL COUPLE 1960_1999 2.037 0.852 240.055 239.203 262.553 -45.6096 23.35 -22.2596 3.09394 25.7116
CM606.GUST G - - - - - - - - X X X GUSTINESS COUPLE 1960_1999 2.0433 0.856 239.894 239.038 262.36 -45.5806 23.322 -22.2586 3.08045 25.3176
CM606-LR-pdCtrl-b01a G - - - - - - - - X X X CM606-LR-pdCtrl-b01a 2000_2009 1.7413 0.689 233.255 232.566 260.219 -51.2229 27.653 -23.5699 2.84948 22.0569
CM606-LR-pdCtrl-b01b G - - - - - - - - X X X CM606-LR-pdCtrl-b01b 2000_2009 1.7576 0.571 236.767 236.196 261.167 -47.6932 24.971 -22.7222 2.92011 22.731
CM606-LR-pdCtrl-b01bz0 G - - - - - - - - X X X CM606-LR-pdCtrl-b01bz0 2000_2009 1.2879 0.08 235.418 235.338 260.228 -48.725 24.89 -23.835 3.01409 22.7939
CM606.LR.pdCtrl.b01bz0.cplok G - - - - - - - - X X X CM606-LR-pdCtrl-b01bz0-cplok 1960_1969 1.2744 0.052 235.567 235.515 260.335 -48.7068 24.82 -23.8868 2.99053 22.866

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 coupled CMIP5 simulations (historical)

Metrics with respect to forced-by-SST AMIP multi model

Metrics with respect to IPSLCM5A-LR (historical)