(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : LMDZORv6010J

RUN Atlas YEAR Atlas --DJF-- Atlas --JJA-- Description of the simulation __________________________________ Name 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
LMDZORv6010J G - - G - - G - - Reglage 6010J LMDZsvn2933_ORsvn4261 1980_1999 LMDZORv6010J 3.3147 3.343 237.824 234.481 262.564 -49.2181 28.083 -21.1351 2.90633 25.7949
LMDZORv6010Jbis G - - G - - G - - Reglage 6010J LMDZsvnTreeFC_Or4499 1980_1999 LMDZORv6010Jbis 3.4069 3.425 237.904 234.479 262.555 -49.2304 28.076 -21.1544 2.90429 25.8087
LMDZORv6010Jfrein G - - G - - G - - Reglage LMDZORv6010Jbis Freinage des arbes 1980_1999 LMDZORv6010Jfrein 3.3465 3.362 237.915 234.553 262.606 -49.2153 28.053 -21.1623 2.90488 25.7797
LMDZORv6010Jbosq - - - - - - - - - Reglage LMDZORv6010Jbis Bosquets 1980_1999 LMDZORv6010Jbosq . . . . . . . . . . .

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)