(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : FHXVLR10NPv6.0.10I


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
FHXVLR10NPv6.0.10I - - - - - - - - - X X RAS 2001_2001 1.2782 1.374 237.483 236.109 259.129 -47.5072 23.02 -24.4872 2.9628 25.8428
FHXVLR10NPv6.0.10J - - - - - - - - - X X RAS 2001_2001 3.7286 3.844 235.283 231.439 258.693 -49.6479 27.254 -22.3939 2.94246 25.8455
FHXVLR10NPv6.0.10Ja - - - - - - - - - X X RAS 2001_2001 3.0834 3.11 231.82 228.71 258.411 -53.2686 29.701 -23.5676 2.92911 26.1914
FHXVLR10NPv6.0.10Jb - - - - - - - - - X X RAS 2001_2001 3.9163 3.973 233.797 229.824 258.607 -51.148 28.783 -22.365 2.89301 26.1068

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)