(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : CL4.LO6012

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
CL4.LO6012	G - -	G - -	G - -	CM612	1989_1998	CL4.LO6012	.	.	.	.	.	.	.	.	.	.	.
CL4.4661.L6012.ref	- - -	- - -	- - -	612ttop ORC4661	1989_1998	CL4.4661.L6012.ref	.	.	.	.	.	.	.	.	.	.	.
CL4.4661.L6012.ref.newpft	G - -	G - -	G - -	612ttop newpft	1989_1998	CL4.4661.L6012.ref.newpft	.	.	.	.	.	.	.	.	.	.	.
CL4.4661.L6012.ref.growth.slopec.newpft	G - -	G - -	G - -	612ttop growth-slopec-newpft	1989_1998	CL4.4661.L6012.ref.growth.slopec.newpft	.	.	.	.	.	.	.	.	.	.	.

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)