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
NPv5.70a - - - - - - - - - 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
T6p15REF - - - - - - - - - X X X CTRL605 NPv5.70, summer cloudth, trunk 2686 1987_1987 5.123 3.953 240.207 236.254 262.014 -46.9885 25.76 -21.2285 2.98087 24.697
CLC01.T6p15 - - - - - - - - - X X X T6p15p15, cld_lc=0.1g/kg 1987_1987 7.6898 6.4491 244.678 238.229 262.289 -42.6661 24.06 -18.6061 3.00387 24.7867
CLC03.T6p15 - - - - - - - - - X X X T6p15p15, cld_lc=0.3g/kg 1987_1987 3.1596 2.043 237.169 235.126 261.893 -49.9349 26.767 -23.1679 2.96244 24.6797
CTA06.T6p15 - - - - - - - - - X X X T6p15p15, cld_tau=600. 1987_1987 6.6643 5.3992 242.338 236.939 262.074 -44.8844 25.135 -19.7494 2.97674 24.6346
CTA12.T6p15 - - - - - - - - - X X X T6p15p15, cld_tau=1200. 1987_1987 4.387 3.188 238.881 235.693 261.971 -48.3681 26.278 -22.0901 2.96711 24.6779
T670p15nc - - - - - - - - - X X X CTRL605 NPv5.70, summer cloudth, testing 2669 modifie 1987_1987 4.0182 2.883 239.116 236.233 261.991 -46.8091 25.758 -21.0511 2.97091 24.6794
T70p15 - - - - - - - - - X X X CTRL605 NPv5.70, autumn cloudth, testing 2669 1981_1981 5.3587 4.204 239.942 235.738 261.374 -46.1213 25.636 -20.4853 2.98923 24.7538

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)