(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : LMDZOR14httop

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
LMDZOR14httop - - - - - - - - - 14ttop LMDZsvn3175_ORCHsvn4919_XIOSsvn1309 1980_1989 LMDZOR14httop 3.7415 2.935 241.809 238.874 262.802 -46.776 23.928 -22.848 2.98936 25.5345
LMDZOR14splith - - - - - - - - - 14splith LMDZsvn3175_ORCHsvn4919_XIOSsvn1309 1980_1989 LMDZOR14splith 3.8409 3.104 241.052 237.948 262.369 -47.7539 24.421 -23.3329 3.02679 25.3046
LMDZOR14splitD - - - - - - - - - 14splitD LMDZsvn3175_ORCHsvn4919_XIOSsvn1309 1980_1989 LMDZOR14splitD 3.4216 2.725 240.546 237.821 262.902 -48.1275 25.081 -23.0465 3.01602 25.3296

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)