Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : V5.70a

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
V5.70a - - - - - - - - - X X Run force de l'ete, V5.70a 1980_1989 2.9 1.681 240.822 239.141 265.184 -45.199 26.043 -19.156 2.97846 24.828
CLC12.6010 - - - - - - - - - X X Reglage 6010v1 couple (rechauffer 1C) 1987_1987 4.952 5.0274 245.316 240.289 261.85 -41.2129 21.561 -19.6519 3.15848 25.1603
EPM98.FAL0610 - - - - - - - - - X X Reglage 6010v2 avec plus nuages hauts 1987_1987 4.4602 4.508 240.967 236.459 261.724 -45.4775 25.265 -20.2125 3.14163 25.1333
EPM97.RIV104 - - - - - - - - - X X Reglage 60104epgust 1987_1987 0.4818 0.766 238.923 238.157 262.472 -47.4284 24.315 -23.1134 3.14803 25.9551
EPM85.EDZ05RIV103b - - - - - - - - - X X Reglage 60103blcv 1987_1987 3.3239 3.5036 242.908 239.404 262.149 -43.4272 22.745 -20.6822 3.09546 25.4864
FAL04.RIV103b - - - - - - - - - X X RIV60103, fallv=0.4 1987_1987 2.398 2.632 235.97 233.338 262.04 -50.2937 28.702 -21.5917 3.00271 26.1745
RQH20.RIV103b - - - - - - - - - X X RIV60103, ratqshaut=0.20 1987_1987 6.165 6.472 240.663 234.191 261.581 -45.8641 27.39 -18.4741 3.05219 26.3363
RIV60105gust - - - - - - - - - X X Reference blcv + gust 1987_1987 1.3493 1.666 239.898 238.232 262.399 -46.3964 24.167 -22.2294 3.13667 26.0035
RIV106fallvp - - - - - - - - - X X Reference blcv + fallv=0.40 1987_1987 3.0582 3.444 233.06 229.616 262.029 -53.424 32.413 -21.011 2.93487 26.7552

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)