Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : FHXVLR9V60103ricb

RUN Atlas YEAR Atlas --DJF-- Atlas --JJA-- Outputs Model Parameters Tested Parameter 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
FHXVLR9V60103ricb G - - G - - G - - X X RAS 2001_2005 0.8809 1.073 235.334 234.261 258.7 -49.5638 24.439 -25.1248 3.072 25.7588
FHXVLR9V60103ep0 G - - G - - G - - X X RASep0 2001_2005 -1.6401 -1.416 229.943 231.359 259.114 -55.01 27.755 -27.255 3.00689 26.4151
FHXVLR9V60103ep1 G - - G - - G - - X X RASep1 2001_2005 -1.0816 -0.866 231.133 231.999 258.979 -53.8455 26.98 -26.8655 3.02231 26.2529
FHXVLR9V60103ep2 G - - G - - G - - X X RASep2 2001_2005 -0.406 -0.204 232.751 232.955 258.695 -52.2081 25.74 -26.4681 3.04395 26.0196
FHXVLR9V60103ep3 G - - G - - G - - X X RASep3 2001_2005 0.1706 0.396 234.35 233.954 258.68 -50.5858 24.726 -25.8598 3.05194 25.7117

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)