Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : CM605-LR-sstClim-01

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
CM605-LR-sstClim-01 - - - - - - - - - X X Calipso Isccp X X X X CTRL 6.0.5 Clim Sebastien 2070_2079 2.916 1.677 240.943 239.266 265.341 -45.1164 26.075 -19.0414 2.98327
CM605-LR-pdCtrl-01 - - - - - - - - - X X Calipso Isccp X X X X 6.0.5 CTRL 2060_2069 1.3534 0.148 239.988 239.84 266.391 -45.6953 26.551 -19.1443 2.99072
CM605.THC1-LR-pdCtrl-01 - - - - - - - - - X X Calipso Isccp X X X X 6.0.5 THC1: tuning proche 603 2060_2069 1.5458 -0.005 241.302 241.307 267.428 -44.4938 26.121 -18.3728 3.02168
CM605.calv-LR-pdCtrl-02 - - - - - - - - - X X Calipso Isccp X X X X 6.0.5 calv 2060_2069 1.3733 0.195 239.849 239.654 266.101 -45.5159 26.447 -19.0689 2.98346
CM605.dt20-LR-pdCtrl-02 - - - - - - - - - X X Calipso Isccp X X X X 6.0.5 Pas de temps phys 20min 2060_2069 1.4875 0.4 240.69 240.29 266.914 -45.5796 26.624 -18.9556 3.03928
CM605.Z0-LR-pdCtrl-01 - - - - - - - - - X X Calipso Isccp X X X X 6.0.5 Z0 corrects 2060_2069 1.8304 0.655 241.155 240.5 267.486 -45.0567 26.986 -18.0707 2.90064
CM605.GUST-LR-pdCtrl-01 - - - - - - - - - X X Calipso Isccp X X X X 6.0.5 Z0 corrects + gusts 2060_2069 1.8833 0.663 241.337 240.674 268.989 -45.9585 28.315 -17.6435 3.18714

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 CM605-LR-sstClim-01_2070_2079

Metrics with respect to AR4.00

Metrics with respect to CMIP5/AMIP multi model