Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : MP67


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
MP67 - - - - - - - - - X X Calipso Isccp X X X X Reglage 5.67IM 1979_1979 3.4169 1.984 243.59 241.606 265.35 -43.3108 23.744 -19.5668 3.0399
MP67ep9999 - - - - - - - - - X X Calipso Isccp X X X X MP67, epmax=0.9999 1979_1979 3.8115 2.2993 248.464 246.165 265.043 -38.3521 18.878 -19.4741 3.12107
MP67ep4x9fal1 - - - - - - - - - X X Calipso Isccp X X X X MP67ep4x9, fallv=1. 1979_1979 2.6358 1.181 251.947 250.766 265.345 -34.94 14.579 -20.361 3.20576
MP67ep4x9fal75 - - - - - - - - - X X Calipso Isccp X X X X MP67ep4x9, fallv=0.75 1979_1979 3.0576 1.5661 250.696 249.13 265.277 -36.162 16.147 -20.015 3.17138

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 MP67_1979_1979

Metrics with respect to AR4.00

Metrics with respect to CMIP5/AMIP multi model