Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : v3.historical1


RUN Atlas YEAR Atlas --DJF-- Atlas --JJA-- Zonal mean Dynamical regime Cloud Fraction Diurnal Cycle Scatter Plots 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
v3.historical1 G N S G - - G - - X X Calipso Isccp X X X X IPSL-CM5A-LR 1990_1999 0.885 0.916 237.874 236.958 267.781 -51.4382 30.823 -20.6152 2.71387
v5.histNP1 G N S G - - G - - X X Calipso Isccp X X X X IPSL-CM5B-LR 1880_1889 0.8241 0.131 239.305 239.174 267.94 -50.2356 28.766 -21.4696 2.74828
v5.historicalCMR5 G N S G - - G - - X X Calipso Isccp X X X X IPSL-CM5A-MR 1990_1999 1.0094 1.098 239.616 238.518 270.399 -51.8022 31.881 -19.9212 2.79339
CPL6v5.17h G N S G - - G - - X X Calipso Isccp X X X X 6.0.1 1940_1949 -0.1735 -0.935 240.814 241.749 266.623 -51.7843 24.874 -26.9103 2.9718
CPL6v5.4b G N S G N S G N S X X Calipso Isccp X X X X 6.0.2 2140_2149 0.2896 -0.3518 252.356 252.708 271.003 -44.6999 18.295 -26.4049 3.17242
v5.5XORCA1V01 G N S G - - G - - X X Calipso Isccp X X X X 6.0.3 1900_1909 0.8683 -0.577 240.807 241.384 268.698 -49.6395 27.314 -22.3255 3.10641
v5.67PDay01 G - - G - - G - - X X Calipso Isccp X X X X 6.0.4 pdcontrol 1910_1919 1.5376 0.347 241.712 241.365 265.5 -42.3075 24.135 -18.1725 2.99426
CM605-LR-pdCtrl-01 G - - G - - G - - X X Calipso Isccp X X X X 6.0.5 CTRL 2060_2069 1.3534 0.148 239.988 239.84 266.391 -45.6953 26.551 -19.1443 2.99072

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 v3.historical1_1990_1999

Metrics with respect to AR4.00

Metrics with respect to CMIP5/AMIP multi model