Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : CTRL6.0.5b


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
CTRL6.0.5b - - - - - - - - - X X Calipso Isccp X X X X CTRL 2000_2001 3.2728 1.901 240.531 238.63 264.578 -46.2002 25.948 -20.2522 3.01481 25.0231
V6.0.5b.GUST - - - - - - - - - X X Calipso Isccp X X X X GUST 2000_2001 0.1345 -1.055 239.03 240.085 265.687 -47.8375 25.602 -22.2355 3.20748 27.0345
V6.0.5b.GUSTB - - - - - - - - - X X Calipso Isccp X X X X GUST ratqs 2000_2001 3.0857 1.858 239.983 238.125 265.713 -47.1524 27.588 -19.5644 3.17481 27.366

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 CTRL6.0.5b_2000_2001

Metrics with respect to AR4.00

Metrics with respect to CMIP5/AMIP multi model