(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : CM614-LR-amip-01COSPb2s

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
CM614-LR-amip-01COSPb2s G - - - - - - - - Amip IPSLCM6.1.4-LR 1979_1986 CM614-LR-amip-01COSPb2s . . . . . . . . . . .
CM61-LR-amip1T G - - - - - - - - Amip LMDZtrunk (svn 3354), CMIP6 rneb[=rneb+rnebcon] 1979_1986 CM61-LR-amip1T 3.1313 2.382 239.968 237.586 262.65 -48.3862 25.064 -23.3222 3.03004 24.9662
CM61-LR-amip1Trneb G - - - - - - - - Amip LMDZtrunk (svn 3354), CMIP5 rneb[=max(rneb,rnebcon)] 1979_1986 CM61-LR-amip1Trneb 5.5908 4.9078 246.359 241.451 262.897 -41.9388 21.446 -20.4928 3.07417 23.8601

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)