(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : RefIM609svn2904

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
RefIM609svn2904 - - - - - - - - - X X Reglage 6.0.9 1987_1987 2.8397 1.805 241.445 239.64 262.995 -45.9432 23.355 -22.5882 3.12511 26.32
CLC09.EPM85blcv2904 - - - - - - - - - X X Reglage 6.0.10blcv 1987_1987 2.2349 2.4753 242.421 239.946 263.114 -44.8056 23.168 -21.6376 3.07525 25.3138
Wbm4.RefRqhEpm2904 - - - - - - - - - X X RefEpRqh.Epm2904 + wbmax=0.4 1987_1987 4.6302 4.6738 242.41 237.736 262.577 -45.0253 24.841 -20.1843 3.11169 24.8901
RefRqhWb.Epm2904 - - - - - - - - - X X Wbm4.RefRqhEpm2904 + ed_dz/coef_eva/f_cdrag_oce + fallv/epmax 1987_1987 0.9988 1.193 236.472 235.279 262.335 -50.9336 27.056 -23.8776 3.05755 25.6484
NOttopmx.Wbm4RqhEpm2904 - - - - - - - - - X X Wbm4.RefRqhEpm2904 + NO t_top_max 1987_1987 8.6588 8.5757 246.59 238.014 262.207 -40.8421 24.193 -16.6491 3.0249 24.8946
EPM99.RqhWbEpm2904 - - - - - - - - - X X NOttopmx.Wbm4RqhEpm2904 + epmax=0.9999 (0.9998) 1987_1987 6.7148 6.6895 242.784 236.094 262.026 -44.7137 25.932 -18.7817 2.96516 25.4692
EPM995.RqhWbEpm2904 - - - - - - - - - X X NOttopmx.Wbm4RqhEpm2904 + epmax=0.99995 (0.9998) 1987_1987 7.1328 7.0697 243.198 236.128 261.875 -44.2284 25.747 -18.4814 2.96046 25.4399

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)