(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : LMDZORf01

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
LMDZORf01 G - - - - - - - - ctrl 1980_1980 LMDZORf01 4.2451 3.6742 243.412 239.738 263.278 -45.9093 23.54 -22.3693 3.05936 25.8559
LMDZORf35 G - - - - - - - - 0.8*DM08, fallv=1, ratqsh=0.05, epmax=0.9991 1980_1980 LMDZORf35 10.2109 9.6887 247.658 237.969 262.251 -41.874 24.282 -17.592 3.05769 26.3383
LMDZORf35bis G - - - - - - - - comme 35, fallv=1, avec ReLMDZ 1980_1980 LMDZORf35bis 11.0059 10.3763 250.361 239.985 261.916 -39.1816 21.931 -17.2506 3.09197 26.0386
LMDZORf36bis G - - - - - - - - 0.8*vm_debis, fallv=1, ratqsh=0.002, epmax=0.9997 1980_1980 LMDZORf36bis 10.9655 10.2218 251.1 240.878 261.834 -38.3973 20.956 -17.4413 3.09567 25.8401

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)