Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : NPv5.70a

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
NPv5.70a	- - -	- - -	- - -	X	X	Run force de l'ete, V5.70a	1980_1989	2.9	1.681	240.822	239.141	265.184	-45.199	26.043	-19.156		2.97846	24.828
RIM1607b	G - -	- - -	- - -	X	X	Premier reglage 607.1	1987_1987	4.4343	3.787	240.438	236.651	262.519	-46.971	25.868	-21.103		3.15755	26.7335

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)