(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : FHXVLR12NPv6.0.11gust

RUN	Atlas YEAR	Atlas --DJF--	Atlas --JJA--	Description of the simulation _______________________	Name	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
FHXVLR12NPv6.0.11gust	G - -	- - -	- - -	NPv6.0.11gust	2000_2000	FHXVLR12NPv6.0.11gust	2.3276	1.026	237.241	236.215	258.591	-47.7202	22.376	-25.3442		3.03344	26.0019
FHXVLR13NPv6.0.11gustb	G - -	- - -	- - -	NPv6.0.11gustb	2000_2000	FHXVLR13NPv6.0.11gustb	3.5615	2.345	237.771	235.426	258.622	-47.3158	23.196	-24.1198		3.06412	26.2978
FHXVLR13NPv6.0.11gustc	G - -	- - -	- - -	NPv6.0.11gustc	2000_2000	FHXVLR13NPv6.0.11gustc	7.7975	6.4887	244.461	237.972	258.931	-40.7075	20.959	-19.7485		3.01263	26.396

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 forced-by-SST AMIP multi model

Metrics with respect to coupled CMIP5 simulations (historical)

Metrics with respect to IPSLCM5A-LR (clim A verifier)