(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : LMDZORf01

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
LMDZORf01 G - - - - - - - - ctrl 1980_1980 LMDZORf01 4.2451 3.6742 243.412 239.738 263.278 -45.9093 23.54 -22.3693 3.05936 25.8559
LMDZORf30q G - - - - - - - - LMDZORf30, fallv=1, ratqsh=0.007, epmax=0.9991, ratqsp0 = 500 hPa 1980_1980 LMDZORf30q 5.2354 4.562 240.949 236.387 261.781 -48.5822 25.394 -23.1882 3.03093 26.6015
LMDZORf31q G - - - - - - - - LMDZORf31, fallv=1, ratqsh=0.002, epmx=0.9991 1980_1980 LMDZORf31q 4.2778 3.5889 242.744 239.155 261.43 -46.8378 22.275 -24.5628 3.0636 26.4187
LMDZORf33bis G - - - - - - - - LMDZORf33bis 1980_1980 LMDZORf33bis 4.9072 4.29 240.841 236.551 261.778 -48.7269 25.227 -23.4999 3.03062 26.6831

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)