Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : NPv5.5

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
NPv5.5 G - - - - - - - - X X Calipso Isccp X X X X Reglage 5.5 1982_1989 0.943 -0.674 239.31 239.984 265.975 -47.9326 25.991 -21.9416 3.07924
MP67 G - - - - - - - - X X Calipso Isccp X X X X Reglage v5.67PDay01 1979_1979 3.4169 1.984 243.59 241.606 265.35 -43.3108 23.744 -19.5668 3.0399
MP71vd2qsp375 G - - - - - - - - X X Calipso Isccp X X X X 5.71IM, ratqsp0=375 hPa, new_solar6bandes 1979_1979 3.5055 2.097 241.049 238.952 264.87 -46.5385 25.918 -20.6205 2.9781
MP73vd2stra - - - - - - - - - X X Calipso Isccp X X X X MP71vd2qsp375, flag_aerosol_strat=2 1979_1979 3.4679 2.107 240.893 238.786 264.743 -46.4306 25.957 -20.4736 2.98062

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 NPv5.5_1982_1989

Metrics with respect to AR4.00

Metrics with respect to CMIP5/AMIP multi model