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
FASTCTL	G - -	- - -	- - -	X	X	Calipso Isccp	X	X	X	X	FAST CTL	2002_2011	0.4274	-1.148	233.784	234.932	262.445	-51.035	27.513	-23.522		2.71433
FASTZ0	G - -	- - -	- - -	X	X	Calipso Isccp	X	X	X	X	FAST Z0 nouveau	2002_2011	-1.2056	-2.813	234.026	236.839	263.604	-51.0573	26.765	-24.2923		2.94053
FASTZ0D	G - -	- - -	- - -	X	X	Calipso Isccp	X	X	X	X	FAST Z0 et facteur sur la dyn	2002_2011	-0.7219	-2.339	234.124	236.463	263.34	-50.8974	26.877	-24.0204		2.90029

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