Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : AMIPNPv5.70cwrr.Thc1.1

RUN	Atlas YEAR	Atlas --DJF--	Atlas --JJA--	Cloud Fraction	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
AMIPNPv5.70cwrr.Thc1.1	G - -	- - -	- - -	X	X	X	AMIP controle, Physique 5.70, eq CM605 config CM605-THC1-LR-pdCtrl-01	1999_2008	2.3601	0.744	242.173	241.429	266.834	-45.0441	25.405	-19.6391		3.04897	25.9757
AMIPgNPv5.70cwrr.Thc1.1	G - -	- - -	- - -	X	X	X	AMIP guidage, Physique 5.70, eq CM605 config CM605-THC1-LR-pdCtrl-01	1999_2008	-0.4304	-1.138	240.8	241.938	267.094	-46.43	25.156	-21.274		3.09617	26.0267

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 coupled CMIP5 simulations (historical)

Metrics with respect to forced-by-SST AMIP multi model

Metrics with respect to IPSLCM5A-LR (historical)