(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : FHXVLR16NPv6.0.11cvoro

RUN Atlas YEAR Atlas --DJF-- Atlas --JJA-- Description of the simulation ________________________ Period Name 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
FHXVLR16NPv6.0.11cvoro - - - - - - - - - FHXXVLR16NPv6.0.11cvoro 2006_2006 FHXVLR16NPv6.0.11cvoro 3.9209 2.738 236.498 233.76 258.681 -48.6367 24.921 -23.7157 3.04828 25.9592
FHXVLR12NPv6.0.11gust - - - - - - - - - NPv6.0.11gust 2000_2000 FHXVLR12NPv6.0.11gust 2.3276 1.026 237.241 236.215 258.591 -47.7202 22.376 -25.3442 3.03344 26.0019
FHXVLR16GU2b - - - - - - - - - FHXVLR16GU2b 2006_2006 FHXVLR16GU2b 1.7547 1.033 237.118 236.085 258.749 -47.6396 22.664 -24.9756 2.98135 25.9233
FHXVLR16GU2beddz - - - - - - - - - FHXVLR16GU2beddz 2006_2006 FHXVLR16GU2beddz 3.81 3.017 240.018 237.001 258.939 -44.8416 21.938 -22.9036 2.9585 26.0865

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)