Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : CL4.3977c.L2729.frz.frzc1.smtc2

RUN Atlas YEAR Atlas --DJF-- Atlas --JJA-- Outputs Model Parameters Tested Parameter 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
CL4.3977c.L2729.frz.frzc1.smtc2 G - - G - - G - - X X frz.frzc1.smtc2 1999_2008 2.1253 0.991 237.453 236.462 262.767 -49.0236 26.305 -22.7186 3.13419 26.8938
CL4.3977c.L2729.frz G - - G - - G - - X X frz 1999_2008 2.4152 1.291 237.796 236.505 262.787 -48.7092 26.282 -22.4272 3.11907 26.886
CL4.3977c.L2729 - - - - - - - - - X X reference 1999_2008 2.231 1.092 237.537 236.445 262.75 -48.9977 26.305 -22.6927 3.13344 26.8741

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)