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 6.0.5 CTRL 1980_1989 6.0.5 CTRL 2020_2029 6.0.5 CTRL 1960_1969 1.3473 0.192 240.362 240.17 266.665 -45.4765 26.495 -18.9815 3.00156
CM605-LR-pdCtrl-01 G - - G - - G - - X X Calipso Isccp X X X X 1960_1969 6.0.5 CTRL 6.0.5 CTRL 2020_2029 6.0.5 CTRL 1980_1989 1.3805 0.201 239.987 239.786 266.289 -45.595 26.503 -19.092 2.9869
CM605-LR-pdCtrl-01 G - - G - - G - - X X Calipso Isccp X X X X 1960_1969 6.0.5 CTRL 1980_1989 6.0.5 CTRL 6.0.5 CTRL 2020_2029 1.4621 0.239 239.889 239.65 266.133 -45.5601 26.483 -19.0771 2.98224
CM605.NOSU-LR-pdCtrl-03 G - - G - - - - - X X Calipso Isccp X X X X 6.0.5 NO SU 1980_1989 6.0.5 NO SU 2020_2029 6.0.5 NO SU 1960_1969 1.272 0.074 240.276 240.202 266.605 -45.9438 26.403 -19.5408 3.03318
CM605.NOSU-LR-pdCtrl-03 G - - G - - G - - X X Calipso Isccp X X X X 1960_1969 6.0.5 NO SU 6.0.5 NO SU 2020_2029 6.0.5 NO SU 1980_1989 1.2883 0.106 239.757 239.651 266.013 -45.9591 26.362 -19.5971 3.01161
CM605.NOSU-LR-pdCtrl-03 G - - G - - G - - X X Calipso Isccp X X X X 1960_1969 6.0.5 NO SU 1980_1989 6.0.5 NO SU 6.0.5 NO SU 2020_2029 1.297 0.127 239.743 239.616 266.013 -45.9031 26.397 -19.5061 3.0137

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_1960_1969

Metrics with respect to AR4.00

Metrics with respect to CMIP5/AMIP multi model