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 - - - - - - - - - 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
CIM607bZ0svn2712 G - - - - - - - - X X X Clim Reglage 606b, Z0, atu.cloudth, trunk2712 1987_1987 0.6759 -0.005 238.334 238.339 262.713 -48.8718 24.374 -24.4978 3.17944 26.4391
CLC75.CIM607b G - - - - - - - - X X X Clim 607bZ0, cld_lc=0.075g/kg 1987_1987 4.5976 3.8001 244.632 240.832 262.975 -42.6339 22.143 -20.4909 3.19432 26.3392
CLC01.CIM607b G - - - - - - - - X X X Clim 607bZ0, cld_lc=0.1g/kg 1987_1987 3.8381 3.0282 243.192 240.164 262.914 -44.1126 22.75 -21.3626 3.18658 26.3457
QP037.CIM607b G - - - - - - - - X X X Clim 607bZ0, ratqsp0=370hPa 1987_1987 4.6609 4.009 240.887 236.878 262.482 -46.5017 25.604 -20.8977 3.16028 26.576
QP050.CIM607b G - - - - - - - - X X X Clim 607bZ0, ratqsp0=500hPa 1987_1987 -4.0292 -4.857 234.513 239.37 263.04 -52.5598 23.67 -28.8898 3.1773 26.0686

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)