(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : CL5.O20r5661.L618

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
CL5.O20r5661.L618	- - -	- - -	- - -	amip nudged	2005_2014	CL5.O20r5661.L618	-0.3277	-0.299	237.482	237.781	262.973	-50.9837	25.192	-25.7917		3.05624	25.6907
CL5.O20r5661.L618.dorsoil	G - -	G - -	G - -	amip	2005_2014	CL5.O20r5661.L618.dorsoil	0.0443	0.088	238.393	238.305	263.408	-50.2048	25.103	-25.1018		3.00667	25.6077

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)