(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : CL4.4661.L6012.ref

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
CL4.4661.L6012.ref G - - G - - G - - 6.012ttop ORC ref 1979_1988 CL4.4661.L6012.ref 1.8585 1.086 240.436 239.35 263.473 -46.435 24.123 -22.312 2.93823 25.2503
CL5.4661.L6012.ref G - - G - - G - - 6.012ttop ORC ref g 1985_1994 CL5.4661.L6012.ref -1.2663 -1.223 238.597 239.82 263.496 -47.9455 23.676 -24.2695 2.9757 25.4605
CL4.LO6012 G - - G - - G - - 6.012ttop ORC15PFT 1979_1988 CL4.LO6012 1.8766 1.099 240.35 239.251 263.379 -46.4909 24.128 -22.3629 2.95132 25.2382
CL5.LO6012 G - - G - - G - - 6.012ttop ORC15PFT g 1985_1994 CL5.LO6012 -1.3669 -1.331 238.351 239.682 263.381 -48.1754 23.699 -24.4764 2.99417 25.5084

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)