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

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
V5.70a G - - - - - - - - X X Run force de l'ete, V5.70a 1980_1989 2.9 1.681 240.822 239.141 265.184 -45.199 26.043 -19.156 2.97846 24.828
RIM1607b G - - - - - - - - X X Premier reglage 607.1 1987_1987 4.4343 3.787 240.438 236.651 262.519 -46.971 25.868 -21.103 3.15755 26.7335
RIM684Std0 G - - - - - - - - X X Regl. 4, regl.837,thermals_closure=2,mix_adiab=1 1987_1987 8.2849 7.3405 249.472 242.132 262.678 -38.5289 20.546 -17.9829 3.12674 25.231
CLC15.840 - - - - - - - - - X X RIM684Std0, cld_lc=0.15 1987_1987 8.8602 7.898 250.339 242.441 262.696 -37.5623 20.255 -17.3073 3.13139 25.3477
EPM75.840 G - - - - - - - - X X RIM684Std0, epmax=0.9975 1987_1987 8.0466 7.0567 250.06 243.003 262.731 -37.7486 19.728 -18.0206 3.14833 25.1264
FAL11.840 G - - - - - - - - X X RIM684Std0, fallv=1.1 1987_1987 8.1017 7.0866 249.873 242.786 262.625 -37.9606 19.839 -18.1216 3.1489 25.2568
CTA60.840 G - - - - - - - - X X RIM684Std0, cld_tau=600. 1987_1987 9.9145 8.8475 251.662 242.815 262.744 -36.2383 19.929 -16.3093 3.1215 25.3313
CEV45M5.840 G - - - - - - - - X X RIM683Std7, coef_eva=4.5e-5 1987_1987 7.7652 6.8004 248.685 241.885 262.631 -39.1725 20.746 -18.4265 3.1356 25.3474

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)