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 G - - G - - G - - 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
NPv5.70 G - - G - - G - - X X Calipso Isccp X X X X 6.0.5 1982_1989 2.9858 1.78 240.902 239.122 265.126 -45.143 26.004 -19.139 2.97849
MR215MN G - - - - - - - - X X Calipso Isccp X X X X MR2 224x224x79 2011_2020 4.1501 2.7679 244.236 241.468 264.964 -41.3088 23.496 -17.8128 3.01528
VLRL47CTL G - - - - - - - - X X Calipso Isccp X X X X 96x95x47 2008_2017 0.9471 -0.542 236.583 237.125 263.292 -48.4415 26.167 -22.2745 2.8754
FASTCTL G - - - - - - - - X X Calipso Isccp X X X X 96x95x39 2002_2011 0.4274 -1.148 233.784 234.932 262.445 -51.035 27.513 -23.522 2.71433
FASTZ0NG3 G - - - - - - - - X X Calipso Isccp X X X X 96x95x39 2002_2011 -0.4053 -2.16 234.535 236.695 263.605 -50.5724 26.91 -23.6624 2.92894
FASTZ0 G - - - - - - - - X X Calipso Isccp X X X X 96x95x39 2002_2011 -1.2056 -2.813 234.026 236.839 263.604 -51.0573 26.765 -24.2923 2.94053
FASTZ0D G - - - - - - - - X X Calipso Isccp X X X X 96x95x39 2002_2011 -0.7219 -2.339 234.124 236.463 263.34 -50.8974 26.877 -24.0204 2.90029

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