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

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
LmdzOrChoiAP - - - - - - - - - Orchidee2couches 1980_1999 LmdzOrChoiAP -0.0363 -0.047 238.797 238.844 269.968 -50.2507 31.124 -19.1267 2.84309 24.1452
LmdzOr6Actrl - - - - - - - - - PhysiqueNPv6.1 1980_1999 LmdzOr6Actrl 3.5687 2.865 240.395 237.53 262.503 -48.3267 24.973 -23.3537 3.0284 25.3059

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)