(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : CM61-LR-amip-hist-1870

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
CM61-LR-amip-hist-1870 G - - G - - G - - CMIP6 amip simulation CM61-LR-amip-hist-1870 1990_1999 CM61-LR-amip-hist-1870 2.724 2.033 239.796 237.763 262.692 -48.2648 24.929 -23.3358 3.04401 25.277
CM6.1-ATM-LR-highresSST-present.2 G - - G - - G - - LR simulation, higresmip protocol, CM6.1-ATM-LR-highresSST-present.2 1990_1999 CM6.1-ATM-LR-highresSST-present.2 1.8261 1.139 238.894 237.755 262.453 -47.8827 24.698 -23.1847 3.02586 25.083
CM6.1.5-ATM-HR-highresSST-present G - - G - - G - - CM6.1.5-ATM-HR-highresSST-present 1990_1999 CM6.1.5-ATM-HR-highresSST-present -0.0591 -0.963 239.64 240.603 264.181 -46.9382 23.578 -23.3602 3.04999 24.3728

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)