Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : FHLR7CTRL

RUN	Atlas YEAR	Atlas --DJF--	Atlas --JJA--	Cloud Fraction	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
FHLR7CTRL	G - -	- - -	- - -	X	X	X	LR 606 Controle avec iperiod=7, nbapp_cv=48	2001_2005	0.466	-0.657	236.25	236.907	260.778	-48.056	23.871	-24.185		3.13366	999999
FHLR7CDNC	G - -	- - -	- - -	X	X	X	LR 606 bl95_b0=1.9	2001_2005	-1.1781	-2.255	234.556	236.811	260.67	-49.6782	23.859	-25.8192		3.12371	999999
FHLR7SLOW	G - -	- - -	- - -	X	X	X	LR 606 nbapp_cv=96	2001_2005	0.4475	-0.684	236.143	236.827	260.791	-48.1355	23.964	-24.1715		3.15263	999999

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 coupled CMIP5 simulations (historical)

Metrics with respect to forced-by-SST AMIP multi model

Metrics with respect to IPSLCM5A-LR (historical)