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


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
CTRL6.0.5b G - - - - - - - - X X Calipso Isccp X X X X CTRL 2000_2000 3.3741 1.864 240.773 238.909 264.791 -46.315 25.882 -20.433 3.00511 25.0198
V6.0.5b.Z0 - - - - - - - - - X X Calipso Isccp X X X X Z0 2000_2000 -1999998 -999999 0 999999 999999 0 0 0 999999 999999
V6.0.5b.GUST G - - - - - - - - X X Calipso Isccp X X X X GUST 2000_2000 0.0599 -1.038 239.493 240.531 266.049 -47.8375 25.518 -22.3195 3.19949 26.8854
V6.0.5b.GUST.ratqs G - - - - - - - - X X Calipso Isccp X X X X GUST ratqs 2000_2000 3.0794 1.878 240.456 238.578 266.076 -46.957 27.498 -19.459 3.15753 27.2239

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 CTRL6.0.5b_2000_2000

Metrics with respect to AR4.00

Metrics with respect to CMIP5/AMIP multi model