(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : LMDZOR.v6.1.3.taugl

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
LMDZOR.v6.1.3.taugl G - - G - - G - - LMDZOR.v6.1.3 AMIP ref 1995_2004 LMDZOR.v6.1.3.taugl 3.7905 3.068 240.504 237.436 262.362 -48.2858 24.926 -23.3598 3.02685 25.302
highresmip.HR.spinup G - - G - - G - - HighresMIP HR 1949_1949 highresmip.HR.spinup 0.6595 -0.323 240.477 240.8 264.744 -46.8147 23.944 -22.8707 3.04188 23.7416
highresmip.LR.spinup G - - G - - G - - HighresMIP LR 1949_1949 highresmip.LR.spinup 2.369 1.711 239.731 238.02 263.087 -47.7845 25.067 -22.7175 3.02138 24.4549

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)