(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : LMDZOR00

RUN (link to outputs) Atlas YEAR Atlas --DJF-- Atlas --JJA-- Description of the simulation _________________________________________________________________ Period Name (link to parameters) 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
LMDZOR00 - - - - - - - - - ctrl: NPv6.1 climatique 1980_1980 LMDZOR00 4.1437 3.171 240.386 237.215 262.157 -48.8796 24.942 -23.9376 3.02419 25.4091
RIM01 - - - - - - - - - ctrl + cld_lc*=0.857005403472576, ffallv*=1.64799681763398, ratqshaut=0.274773061954183, epmax=0.9425914102700954, fact_thermals_ed_dz=0.135665883040056 1980_1980 RIM01 -8.0395 -8.923 222.119 231.042 262.054 -67.1628 31.012 -36.1508 2.8878 26.2891
RIM02 - - - - - - - - - ctrl + cld_lc*=0.000549398172583897, ffallv*=1.864259649124, ratqshaut=0.12010592296836, epmax=0.99333436080158515, fact_thermals_ed_dz=0.0435442872205749 1980_1980 RIM02 . . . . . . . . . . .

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)