Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : FHXVLR9V83

RUN	Atlas YEAR	Atlas --DJF--	Atlas --JJA--	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
FHXVLR9V83	G - -	- - -	- - -	X	X	CTRL	2001_2005	3.3393	2.243	239.283	237.04	259.147	-45.7144	22.107	-23.6074	999999	3.09942	999999
FHXVLR9V83wb3p05	G - -	- - -	- - -	X	X	flag_wb= 1->50 , wbmax= 6.->3.	2001_2005	1.4682	-0.005	236.496	236.501	258.926	-48.4742	22.425	-26.0492	999999	3.12371	999999
FHXVLR9V84	G - -	- - -	- - -	X	X	iflag_mix_adiab= 0->1	2001_2005	5.5615	4.7411	242.554	237.813	258.563	-42.3822	20.75	-21.6322	999999	3.10195	25.0098
FHXVLR9V84wb3p05	G - -	- - -	- - -	X	X	flag_wb= 1->50 , iflag_mix_adiab= 0->1 , wbmax= 6.->3	2001_2005	2.1747	0.892	238.741	237.849	258.871	-46.2028	21.022	-25.1808	999999	3.1346	25.3725

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)