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 - - - - - - - - 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
VLRL47CTL G - - - - - - - - X X Calipso Isccp X X X X VLRL47 CTL 2001_2005 1.4714 -0.032 236.652 236.684 262.657 -48.3793 25.973 -22.4063 2.87483
VLRL47Z0 G - - - - - - - - X X Calipso Isccp X X X X VLRL47 Z0 nouveau 2001_2005 -0.4506 -1.958 236.113 238.071 263.652 -49.105 25.581 -23.524 3.08786
VLRL47Z0D G - - - - - - - - X X Calipso Isccp X X X X VLRL47 Z0 et facteur sur la dyn 2001_2005 0.0707 -1.455 236.426 237.881 263.424 -48.7165 25.543 -23.1735 3.04889
VLRL47Z0LED - - - - - - - - - X X Calipso Isccp X X X X VLRL47 Z0 et facteur dyn et LE 2001_2003 -1.13 -2.741 235.779 238.52 263.922 -49.5578 25.402 -24.1558 3.21436
VLRL47GUST G - - - - - - - - X X Calipso Isccp X X X X VLRL47 GUST 2001_2005 -0.7024 -2.24 235.881 238.121 263.696 -49.3 25.575 -23.725 3.06626
VLRL47GUSTB - - - - - - - - - X X Calipso Isccp X X X X VLRL47 GUSTB 2001_2005 2.8137 1.305 236.898 235.593 263.457 -48.4773 27.864 -20.6133 3.03335

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