Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : CM608-LR-pdCtrl-01


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
CM608-LR-pdCtrl-01 G - - G - - G - - X X CM608-LR-pdCtrl-01 1950_1959 2.1072 0.844 240.866 240.022 263.624 -45.8112 23.602 -22.2092 3.15855 25.752
CM607-LR-pdCtrl-nudgeUV G - - G - - G - - X X CM607-LR-pdCtrl-nudgeUV 1979_1988 0.1173 0.045 234.298 234.253 260.316 -49.4209 26.063 -23.3579 3.03419 23.7378
CM607-LR-INIT-3DOCE G - - G - - G - - X X CM607-LR-INIT-3DOCE 2000_2009 0.6499 -0.377 236.019 236.396 262.918 -48.9227 26.522 -22.4007 3.13693 26.857

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)