Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : V5.70a

RUN Atlas YEAR Atlas --DJF-- Atlas --JJA-- Cloud Fraction 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
V5.70a G - - - - - - - - Calipso Isccp X X Run force de l'ete, V5.70a 1980_1989 2.8107 1.635 240.654 239.019 265.205 -45.5916 26.186 -19.4056 3.01581 24.6266
T6p15REFsvn2699 G - - - - - - - - X X X CLIM NPv5.70, summer cloudth, trunk2699 1987_1996 5.1072 3.954 240.282 236.328 262.071 -46.9632 25.743 -21.2202 2.97819 24.6898
CIM607aZ0svn2712 G - - - - - - - - X X X Clim Reglage 606a, Z0, sum.cloudth, trunk2712 1987_1987 0.286 -0.285 235.037 235.322 262.343 -52.1684 27.021 -25.1474 3.13924 26.6093
CLC01.CIM607a G - - - - - - - - X X X Clim 607aZ0, cld_lc=0.1g/kg 1987_1987 5.7514 5.1047 244.112 239.007 262.772 -43.3295 23.765 -19.5645 3.18642 26.6207
CLC15.CIM607a G - - - - - - - - X X X Clim 607aZ0, cld_lc=0.15g/kg 1987_1987 4.2716 3.539 241.394 237.855 262.606 -45.8881 24.751 -21.1371 3.17451 26.6732
QP030.CIM607a G - - - - - - - - X X X Clim 607aZ0, ratqsp0=300hPa 1987_1987 3.1925 2.602 236.07 233.468 262.376 -51.2337 28.908 -22.3257 3.09472 26.9517
QP045.CIM607a G - - - - - - - - X X X Clim 607aZ0, ratqsp0=450hPa 1987_1987 -4.3035 -4.976 231.748 236.724 262.413 -55.2376 25.689 -29.5486 3.14614 26.3313

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 coupled CMIP5 simulations (historical)

Metrics with respect to forced-by-SST AMIP multi model

Metrics with respect to IPSLCM5A-LR (historical)