(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : FHXVLR14ULT1

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
FHXVLR14ULT1 - - - - - - - - - Ultimate tuning 1 2005_2005 FHXVLR14ULT1 4.1009 2.843 236.683 233.84 258.748 -48.542 24.908 -23.634 3.05111 25.7183
FHXVLR14ULT1trig15 - - - - - - - - - s_trig 1.5e7 2005_2005 FHXVLR14ULT1trig15 5.1379 3.876 237.877 234.001 258.695 -47.4047 24.694 -22.7107 3.04163 25.7135
FHXVLR14ULT1trig20 - - - - - - - - - s_trig 2.e7 2005_2005 FHXVLR14ULT1trig20 7.0796 5.793 240.876 235.083 258.899 -44.3786 23.816 -20.5626 3.05177 25.7969

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)