Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : AR4.0ada_1982_1991

RUN Atlas YEAR Atlas DJF Atlas JJA Zonal mean Dynamical regime Cloud Fraction Diurnal Cycle Scatter Plots Outputs Model Parameters Tested Parameter Period bils fnet tops topl topl0 crfsw crflw crfnet 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
AR4.0ada X X X X X Calipso Isccp X X X X Runs de l'ete, IPSL-CM6.0.1 1982_1991 2.328 2.259 242.2 240.0 269.5 -45.45 29.48 -15.97 2.821 2.822 24.37
NPv3.1ada X X X X X Calipso Isccp X X X X Runs de l'ete, IPSL-CM6.0.1 1982_1991 -1.592 -2.412 237.6 240.0 267.2 -50.18 27.23 -22.96 2.866 2.866 24.77
NPv5.3 X X X X X Calipso Isccp X X X X Runs de l'ete, IPSL-CM6.0.1 1982_1989 0.04515 -0.8776 241.8 242.7 265.9 -48.15 23.27 -24.88 3.050 3.053 25.28
NPv5.4 X X X X X Calipso Isccp X X X X Version 5.4, IPSL-CM6.0.2 1982_1989 1.013 0.1803 248.8 248.7 265.3 -41.15 16.66 -24.49 3.060 3.061 24.97
NPv5.50berg1 X X X X X Calipso Isccp X X X X Bergeron1, IPSL-CM6.0.2 1982_1989 1.006 -0.6256 239.4 240.0 266.0 -47.83 25.95 -21.89 3.078 3.079 26.10
COMPARAISONS

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 AR4.0ada_1982_1991

Metrics with respect to AR4.00

Metrics with respect to CMIP5/AMIP multi model