(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : FHXVLR10NPv6.0.10Ccldlcc

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
FHXVLR10NPv6.0.10Ccldlcc	G - -	- - -	- - -	X	X	RAS	2001_2001	3.7521	3.966	235.482	231.516	258.052	-49.6546	26.536	-23.1186		3.02494	26.4064
FHXVLR10NPv6.0.10Cnottopmaxa	G - -	- - -	- - -	X	X	RAS	2001_2001	9.0602	9.153	241.215	232.062	257.871	-43.9663	25.809	-18.1573		2.92634	26.2314
FHXVLR10NPv6.0.10Cnottopmaxc	G - -	- - -	- - -	X	X	RAS	2001_2001	5.4419	5.557	236.202	230.645	257.86	-48.9895	27.215	-21.7745		2.93104	26.1939
FHXVLR10NPv6.0.10Cnottopmaxd	G - -	- - -	- - -	X	X	RAS	2001_2001	3.2548	3.35	232.919	229.569	257.675	-52.2472	28.106	-24.1412		2.92875	26.1231

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)