(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : FHJYGNPv6.0.12split

RUN (link to outputs)	Atlas YEAR	Atlas --DJF--	Atlas --JJA--	Description of the simulation ________________	Period	Name (link to parameters)	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
FHJYGNPv6.0.12split	G - -	- - -	- - -	FHJYGNPv6.0.12split	2001_2004	FHJYGNPv6.0.12split	0.4627	-0.191	236.024	236.215	261.09	-48.8807	24.875	-24.0057		3.0619	25.1228
FHJYGJYGA	G - -	- - -	- - -	JYGA	2001_2004	FHJYGJYGA	0.3978	-0.231	235.979	236.21	261.101	-48.868	24.891	-23.977		3.06365	25.0889
FHJYGJYGB	G - -	- - -	- - -	JYGB	2001_2004	FHJYGJYGB	0.493	-0.225	235.951	236.176	261.058	-48.9619	24.882	-24.0799		3.06284	25.1281

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)