Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : FHLR9NPv5.17h


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
FHLR9NPv5.17h G - - G - - G - - X X NPv5.17h 2000_2002 -5.0203 -5.024 235.701 240.725 264.888 -52.1509 24.163 -27.9879 3.14227 24.4186
FHLR9NPv5.4 G - - G - - G - - X X NPv5.4 2000_2002 -3.662 -3.7212 243.65 247.371 264.093 -44.1961 16.722 -27.4741 3.18011 24.1995
FHLR9NPv5.5 G - - G - - G - - X X NPv5.5 2000_2002 1.937 0.198 235.467 235.269 260.619 -49.7358 25.35 -24.3858 3.05984 25.5818
FHLR9NPv5.70 G - - G - - G - - X X NPv5.70 2000_2002 4.5496 3.166 236.955 233.789 259.348 -48.0954 25.559 -22.5364 3.00516 24.4343
FHLR9NPv6.0.7 G - - G - - G - - X X NPv6.0.7 2000_2002 2.4623 1.271 235.211 233.94 260.081 -50.0297 26.141 -23.8887 3.18166 26.4502
FHLR9V83Ttopmaxb G - - G - - G - - X X V83Ttopmaxb 2000_2002 1.3919 -0.394 238.797 239.191 260.959 -46.364 21.768 -24.596 3.21686 24.8606
FHLR9V60102 G - - G - - G - - X X V60102 2000_2002 2.9801 2.926 239.012 236.086 260.601 -46.1261 24.515 -21.6111 3.19566 24.9129
FHLR9V60103b G - - G - - G - - X X V60103b 2000_2002 2.3009 2.362 239.001 236.639 260.204 -46.1297 23.565 -22.5647 3.11897 25.3449
FHLR9V60103 G - - G - - G - - X X V60103 2000_2002 7.7221 7.716 240.679 232.963 258.649 -44.6172 25.686 -18.9312 2.94622 26.2739

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)