(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : CM6015-LR-amip-split-G-02

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
CM6015-LR-amip-split-G-02 - - - - - - - - - CM6015-LR-amip-split-G-02 amip split avec guidage en vent 1999_2008 CM6015-LR-amip-split-G-02 -0.9611 -0.878 237.549 238.427 263.05 -50.09 24.623 -25.467 3.05331 25.5033
CM6015-LR-amip-split-02 - - - - - - - - - CM6015-LR-amip-split-02 amip split Controle 1999_2008 CM6015-LR-amip-split-02 2.4804 1.762 240.297 238.535 262.875 -47.4086 24.34 -23.0686 3.04263 25.5254
CM61-LR-amip-2000 - - - - - - - - - CM61-LR-amip-2000 1998_2007 CM61-LR-amip-2000 2.9198 2.209 240.253 238.044 262.951 -48.5266 24.907 -23.6196 3.05524 25.641

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)