(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : LMDZOR.6.0.12split

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.6.0.12split G - - G - - - - - Reglage Npv6.0.12split 1980_1999 LMDZOR.6.0.12split 3.479 2.828 240.888 238.06 263.3 -47.5085 25.24 -22.2685 2.99137 25.3248
LMDZOR.6.0.12split_eva - - - - - - - - - LMDZOR.6.0.12split, cld_lc_lsc=0.00016, cld_lc_con=0.00016, iflag_evap_prec=2 1980_1999 LMDZOR.6.0.12split_eva 4.173 3.532 242.295 238.763 263.488 -46.1502 24.725 -21.4252 3.02216 25.3601
LMDZOR.6.0.12split_are - - - - - - - - - LMDZOR.6.0.12split, bl95_b0=1.5 1980_1999 LMDZOR.6.0.12split_are 5.1259 4.4724 242.633 238.161 263.374 -45.8236 25.213 -20.6106 2.99765 25.3629

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)