Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : FHXVLR9NPv6.0.9


RUN Atlas YEAR Atlas --DJF-- Atlas --JJA-- 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
FHXVLR9NPv6.0.9 G - - - - - - - - X X NPv609 2001_2005 2.9772 2.171 237.608 235.437 259.034 -47.4829 23.597 -23.8859 3.14376 26.3905
FHXVLR9V83 G - - - - - - - - X X NPv6083 2001_2005 3.3393 2.243 239.283 237.04 259.147 -45.7144 22.107 -23.6074 3.09942 25.3295
FHXVLR9V83wb3p05 G - - - - - - - - X X flag_wb= 1->50 , wbmax= 6.->3. 2001_2005 1.4682 -0.005 236.496 236.501 258.926 -48.4742 22.425 -26.0492 3.12371 25.7653
FHXVLR9V83wb2p05 G - - - - - - - - X X flag_wb= 1->50 , wbmax= 6.->2. 2001_2005 2.6811 1.439 238.26 236.821 258.917 -46.7207 22.096 -24.6247 3.13114 25.6351
FHXVLR9V83wb3p03 G - - - - - - - - X X comme son nom indique 2001_2005 3.3581 2.285 239.512 237.227 259.101 -45.5164 21.874 -23.6424 3.13427 25.4139
FHXVLR9V83Ttopmaxb G - - - - - - - - X X T top max - 10 2001_2005 0.2753 -0.887 235.464 236.351 259.239 -49.496 22.888 -26.608 3.12988 25.302
FHXVLR9V83wb3p04Ttopb G - - - - - - - - X X t_top_max=255. 2001_2005 -0.5376 -1.964 234.34 236.304 259.255 -50.605 22.951 -27.654 3.15486 25.5018
FHXVLR9V83wb3p04Ttopc G - - - - - - - - X X t_top_max=245. 2001_2005 -0.7908 -2.253 233.837 236.09 259.209 -51.1324 23.119 -28.0134 3.15786 25.4979
FHXVLR9V83wb3p04Ttopbthh G - - - - - - - - X X t_top_max=255., th humide 2001_2005 1.0679 -0.239 236.121 236.36 259.038 -48.8438 22.678 -26.1658 3.10385 25.6747

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 forced-by-SST AMIP multi model

Metrics with respect to coupled CMIP5 simulations (historical)

Metrics with respect to IPSLCM5A-LR (clim A verifier)