(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : FHXVLR12NPv6.0.11gust

RUN Atlas YEAR Atlas --DJF-- Atlas --JJA-- Description of the simulation ________________________ Name 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
FHXVLR12NPv6.0.11gust - - - - - - - - - NPv6.0.11gust 2000_2000 FHXVLR12NPv6.0.11gust 2.3276 1.026 237.241 236.215 258.591 -47.7202 22.376 -25.3442 3.03344 26.0019
FHXVLR13NPv6.0.11gustb - - - - - - - - - NPv6.0.11gustb 2000_2000 FHXVLR13NPv6.0.11gustb 3.5615 2.345 237.771 235.426 258.622 -47.3158 23.196 -24.1198 3.06412 26.2978
FHXVLR13NPv6.0.11gustbB - - - - - - - - - NPv6.0.11gustbB 2000_2000 FHXVLR13NPv6.0.11gustbB 4.2247 2.868 238.487 235.619 258.54 -46.4821 22.921 -23.5611 3.04693 26.213

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)