Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : FHXVLR9V83wb3p05

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
FHXVLR9V83wb3p05 G - - G - - G - - X X REF 2001_2005 1.4682 -0.005 236.496 236.501 258.926 -48.4742 22.425 -26.0492 3.12371 25.7653
FHXVLR9V83wb3p05MY G - - G - - G - - X X NPv6083 wbmax=3 wb0=0.5 new MY 2001_2005 3.4002 1.999 237.386 235.387 257.87 -47.6464 22.483 -25.1634 3.07926 26.1271
FHXVLR9V83wb3p05Ric18MY G - - G - - G - - X X new_yamada4= y-> , yamada4_ric= 0.18-> 2001_2005 2.3541 0.908 237.251 236.343 258.494 -47.7014 22.151 -25.5504 3.08289 25.8466
FHXVLR9V83wb3p05Ric18MYricdmin G - - G - - G - - X X f_ri_cd_min= 0.1->0.001 , new_yamada4= y-> , yamada4_ric= 0.18-> 2001_2005 2.4694 1.062 237.295 236.233 258.394 -47.6576 22.161 -25.4966 3.07894 25.8858
FHXVLR9V83wb3p05Ric18MYfallv G - - G - - G - - X X ffallv_lsc= 1.->0.7 , new_yamada4= y-> , yamada4_ric= 0.18-> 2001_2005 2.8881 1.457 236.291 234.834 258.335 -48.6528 23.501 -25.1518 3.05739 25.9826
FHXVLR9V83wb3p05nMY G - - G - - G - - X X wb new MY, lmixmin=0 2001_2005 12.4677 11.0449 247.495 236.45 259.108 -41.9792 22.658 -19.3212 3.20203 26.0033
FHXVLR9V83wb3p05nMYric G - - G - - G - - X X wv new MY, limxmin=0, ric=0.18 2001_2005 12.7866 11.4115 248.078 236.667 259.007 -41.3666 22.34 -19.0266 3.18836 25.9982

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)