Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : LMDZOR6.0.5

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
LMDZOR6.0.5 G - - - - - - - - X X Calipso Isccp X X X X LMDZ_CM6 CTRL 2035_2044 2.9545 1.736 240.926 239.19 265.264 -45.2055 26.074 -19.1315 2.98667
LMDZOR6.0.5Z0 G - - - - - - - - X X Calipso Isccp X X X X LMDZ_CM6 Z0 2035_2044 4.0347 2.833 240.842 238.009 264.607 -45.0027 26.598 -18.4047 2.82783
LMDZOR6.0.5GUST G - - - - - - - - X X Calipso Isccp X X X X LMDZ_CM6 GUST 2035_2044 2.8233 1.527 240.569 239.042 266.637 -46.0626 27.595 -18.4676 3.13172
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
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 G - - - - - - - - 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
VLRL79CTL G - - - - - - - - X X Calipso Isccp X X X X VLRL79 CTL 2001_2005 4.2134 3.249 242.904 239.655 262.847 -42.262 23.192 -19.07 2.98888
VLRL79Z0 G - - - - - - - - X X Calipso Isccp X X X X VLRL79 Z0 2001_2005 2.8344 1.869 242.536 240.667 263.477 -42.75 22.81 -19.94 3.16917
VLRL79GUST G - - - - - - - - X X Calipso Isccp X X X X VLRL79 GUST 2001_2005 0.7574 -0.267 240.79 241.057 264.239 -44.5583 23.182 -21.3763 3.18397
VLRL79GUSTB - - - - - - - - - X X Calipso Isccp X X X X VLRL79 GUSTB (raqsp0=37...) 2001_2005 . . . . . . . . . . .

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 LMDZOR6.0.5_2035_2044

Metrics with respect to AR4.00

Metrics with respect to CMIP5/AMIP multi model