(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : FHXVLR10NPv6.0.11

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
FHXVLR10NPv6.0.11	- - -	- - -	- - -	6011	2001_2001	FHXVLR10NPv6.0.11	2.6379	2.816	239.397	236.581	258.665	-45.6241	22.084	-23.5401		3.15189	26.2118
FHXVLR10NPv6.0.11A	- - -	- - -	- - -	A	2001_2001	FHXVLR10NPv6.0.11A	0.9763	0.232	236.38	236.148	258.764	-48.5189	22.616	-25.9029		2.99877	25.914
FHXVLR10NPv6.0.11A1	- - -	- - -	- - -	cld_lc=0.00014	2001_2001	FHXVLR10NPv6.0.11A1	-2.2208	-3.108	231.845	234.953	258.933	-53.1021	23.98	-29.1221		3.01229	25.8689

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)