(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : REFT2M

RUN (link to outputs) Atlas YEAR Atlas --DJF-- Atlas --JJA-- Description of the simulation ___________________ Period Name (link to parameters) 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
REFT2M G - - G - - G - - REFT2M 1980_1984 REFT2M 3.6461 2.88 240.462 237.582 262.535 -48.2359 24.953 -23.2829 3.02986 25.2855
BORNEFHv2 G - - G - - G - - BORNEFHv2 1980_1984 BORNEFHv2 3.6461 2.88 240.462 237.582 262.535 -48.2359 24.953 -23.2829 3.02986 25.2855
BORNEFHv2n G - - G - - G - - BORNEFHv2n 1980_1984 BORNEFHv2n 3.6461 2.88 240.462 237.582 262.535 -48.2359 24.953 -23.2829 3.02986 25.2855

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)