Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : LMDZ608v6

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
LMDZ608v6 G - - G - - G - - X X LMDZ608v3new, LMDZsvn2818_ORsvn4067 1980_1999 1.2798 1.4842 242.389 240.905 262.967 -44.3511 22.062 -22.2891 3.14293 25.2041
LMDZ608v6lc23 G - - G - - G - - X X LMDZ608v6, cld_lc_lsc=cld_lc_con=0.00017 1980_1999 -0.7863 -0.571 239.572 240.143 262.848 -47.1671 22.705 -24.4621 3.14739 25.2004
LMDZ608v6oro G - - G - - G - - X X LMDZ608v6, parametres orographiques renforces 1980_1999 1.2726 1.5263 242.367 240.841 262.906 -44.368 22.065 -22.303 3.14297 25.2059
LMDZ608v6svn2828 G - - G - - G - - X X LMDZ608v6, nouvelle version svn2828 1980_1999 4.1656 4.3784 245.375 240.997 263.067 -41.4324 22.07 -19.3624 3.16026 25.3098
LMDZ608v6Wb3P05 G - - G - - G - - X X LMDZ608v6, wbmax=3 , flag_wb=50 1980_1999 3.1942 3.4794 244.13 240.651 262.956 -42.7205 22.305 -20.4155 3.18044 25.4884
LMDZ608v6Wb3P05MyLm G - - G - - G - - X X LMDZ608v6Wb3P05, new_yamada4=y,lmixmin=0 1980_1999 3.1769 3.3834 243.814 240.431 262.746 -42.8959 22.315 -20.5809 3.18603 25.5334
LMDZ608v6Wb3P05MyLmGust G - - G - - G - - X X + Gust 1980_1999 2.4827 2.717 243.9 241.183 263.217 -42.9423 22.034 -20.9083 3.2312 25.9729
LMDZ608v6tqsat - - - - - - - - - X X LMDZ608v6svn2828, f_qsat_oce=0.98 1980_1999 . . . . . . . . . . .

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)