(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : FHXVLR14ULT1

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
FHXVLR14ULT1	- - -	- - -	- - -	FHXVLR14ULT1	2006_2006	FHXVLR14ULT1	4.1009	2.843	236.683	233.84	258.748	-48.542	24.908	-23.634		3.05111	25.7183
FHXVLR15ULT1	- - -	- - -	- - -	FHXVLR15ULT1	2006_2006	FHXVLR15ULT1	3.386	2.87	237.002	234.132	258.971	-47.9332	24.839	-23.0942		3.0184	25.4608
FHXVLR15ULT1mixt	- - -	- - -	- - -	FHXVLR15ULT1mixt	2006_2006	FHXVLR15ULT1mixt	5.6119	5.086	241.144	236.058	259.04	-43.9793	22.982	-20.9973		3.0082	25.731

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)