Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : AMIPgNPv5.67cwrr.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
AMIPgNPv5.67cwrr.1	G - -	- - -	- - -	X	X	X	AMIP Guidé, Physique 5.67, eq CM604	1999_2014	4.3055	2.91	241.467	238.557	266.785	-46.7728	28.228	-18.5448		2.96591	25.2994
AMIPgNPv5.70cwrr.1	G - -	- - -	- - -	X	X	X	AMIP Guidé, Physique 5.70, eq CM605	1999_2014	0.6374	0.016	239.942	239.926	266.052	-46.9854	26.126	-20.8594		3.04655	25.0073
AMIPNPv5.67cwrr.1	G - -	- - -	- - -	X	X	X	AMIP Libre, Physique 5.67, eq CM604	1999_2014	6.9461	4.806	242.956	238.15	266.426	-45.2547	28.276	-16.9787		2.92464	25.2836
AMIPNPv5.70cwrr.1	G - -	- - -	- - -	X	X	X	AMIP Libre, Physique 5.70, eq CM605	1999_2014	2.9494	1.759	241.432	239.673	265.748	-45.4657	26.075	-19.3907		3.0034	24.8393

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)