Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : FHLR6CTL

RUN Atlas YEAR Atlas --DJF-- Atlas --JJA-- Cloud Fraction 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
FHLR6CTL G - - - - - - - - X X X LR 606 2001_2002 11.2542 10.0775 247.438 237.36 261.197 -43.2039 23.837 -19.3669 3.21717 999999
FHLR6FAST G - - - - - - - - X X X Acceleration, phys 15min, iperiod 7, conv 30 2001_2002 10.3296 9.2371 248.737 239.5 263.706 -42.2389 24.206 -18.0329 2.77865 999999
FHVLR6VLRCTL G - - - - - - - - X X X VLR 606 2001_2005 11.7397 10.8029 247.768 236.965 260.566 -42.9624 23.601 -19.3614 3.19265 999999
FHVLR6EPFCAPE001 G - - - - - - - - X X X epmax=f(cape), coef 001 2001_2005 5.3868 3.516 231.532 228.016 261.387 -59.3794 33.371 -26.0084 2.93731 999999
FHVLR6EPFCAPE003 G - - - - - - - - X X X epmax=f(cape), coef 001 2001_2005 2.2786 -0.012 226.997 227.009 261.359 -63.8969 34.35 -29.5469 2.88008 999999

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 coupled CMIP5 simulations (historical)

Metrics with respect to forced-by-SST AMIP multi model

Metrics with respect to IPSLCM5A-LR (historical)