Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : CTRL6.0.5

RUN Atlas YEAR Atlas --DJF-- Atlas --JJA-- Zonal mean Dynamical regime Cloud Fraction Diurnal Cycle Scatter Plots 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
CTRL6.0.5 G - - G - - G - - X X Calipso Isccp X X X X CTRL 2000_2004 3.2505 1.94 240.603 238.663 264.631 -45.8565 25.968 -19.8885 3.00433 24.9805
CTRL6.0.5.foce G - - G - - G - - X X Calipso Isccp X X X X CTRL fcdrag0.8 2000_2004 1.4368 0.203 239.949 239.746 265.439 -46.7523 25.693 -21.0593 3.19254 27.1255
V6.0.5.Z0 G - - G - - G - - X X Calipso Isccp X X X X Z0 2000_2004 1.491 0.281 239.843 239.562 265.223 -46.8642 25.661 -21.2032 3.19101 27.0007
V6.0.5.GUST G - - G - - G - - X X Calipso Isccp X X X X GUST 2000_2004 0.1725 -1.093 239.107 240.2 265.817 -47.5563 25.617 -21.9393 3.20009 27.0347
CM605-LR-pdCtrl-01 G - - G - - G - - X X Calipso Isccp X X X X CM605 1960_1969 1.3473 0.192 240.362 240.17 266.665 -45.4765 26.495 -18.9815 3.00156 24.9605
CM605.Z0-LR-pdCtrl-01 G - - G - - G - - X X Calipso Isccp X X X X CM605.Z0 1960_1969 0.5728 -0.653 238.94 239.593 265.945 -46.6349 26.352 -20.2829 3.11113 25.3635
CM605.GUST-LR-pdCtrl-01 G - - G - - G - - X X Calipso Isccp X X X X CM605.GUST 1960_1969 1.4166 0.217 240.102 239.885 267.269 -46.322 27.384 -18.938 3.14233 26.4356

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 coupled CMIP5 simulations (historical)

Metrics with respect to forced-by-SST AMIP multi model

Metrics with respect to IPSLCM5A-LR (historical)