Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : CM605-LR-pdCtrl-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-pdCtrl-01 G - - G - - G - - X X Calipso Isccp X X X X IPSL_CM6 CTRL 2080_2089 1.335 0.185 240.224 240.039 266.574 -45.5317 26.535 -18.9967 2.99652
CM605.Z0-LR-pdCtrl-01 G - - G - - G - - X X Calipso Isccp X X X X IPSL_CM6 Z0 2080_2089 1.9243 0.788 241.43 240.642 267.544 -44.8219 26.902 -17.9199 2.90693
CM605.GUST-LR-pdCtrl-01 G - - G - - G - - X X Calipso Isccp X X X X IPSL_CM6 GUST 2080_2089 1.8318 0.601 241.545 240.944 269.296 -46.0603 28.352 -17.7083 3.19584
LMDZOR6.0.5 G - - G - - 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 - - G - - 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 - - G - - 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
LMDZOR6.0.5GUST.1 G - - G - - G - - X X Calipso Isccp X X X X LMDZ_CM6 GUST new 1995_2004 0.2482 -1.021 239.863 240.884 266.463 -46.75 25.579 -21.171 3.17507

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-pdCtrl-01_2080_2089

Metrics with respect to AR4.00

Metrics with respect to CMIP5/AMIP multi model