(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 - - - - - - - - - FHXVLR12NPv6.0.11gust 2001_2001 FHXVLR12NPv6.0.11gust 1.8586 1.054 237.602 236.548 258.911 -47.1381 22.363 -24.7751 2.98253 25.8698
FHXVLR12NPv6.0.11cvoro - - - - - - - - - FHXVLR12NPv6.0.11cvoro 2001_2001 FHXVLR12NPv6.0.11cvoro 2.7325 2.269 236.086 233.817 258.864 -48.8679 25.047 -23.8209 3.02102 25.7996
FHXVLR12CVOROwbttopmaxb - - - - - - - - - FHXVLR12CVOROwbttopmaxb 2001_2001 FHXVLR12CVOROwbttopmaxb 2.6626 2.055 236.105 234.05 258.987 -48.95 24.937 -24.013 3.06356 25.9687

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)