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 235.6 -106.988 1.635 -101.117 240.654 0 239.019 239.019 265.205 265.205 -45.5916 -45.5916 26.186 0 -19.4056 137.902 3.01581 24.6266 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
QP035.T6p15 - - - - - - - - - X X X T6p15p15, ratqsp0=35000. 1987_1987 6.1717 5.014 240.592 235.578 261.934 -46.6922 26.356 -20.3362 2.96972 24.7657
QP040.T6p15 - - - - - - - - - X X X T6p15p15, ratqsp0=40000. 1987_1987 3.7573 2.656 239.39 236.734 262.086 -47.8285 25.352 -22.4765 2.98696 24.6762
EDZ07.T6p15 - - - - - - - - - X X X T6p15p15, ed_dz=0.07 1987_1987 6.1026 5.026 241.615 236.589 261.947 -45.5445 25.358 -20.1865 2.95997 24.8345
EDZ13.T6p15 - - - - - - - - - X X X T6p15p15, ed_dz=0.13 1987_1987 4.3644 3.295 239.099 235.804 262.055 -48.1641 26.251 -21.9131 2.99186 24.5779
T670p15nc - - - - - - - - - X X X CTRL605 NPv5.70, summer cloudth, testing 2669 mod 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)