(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : AR4.0ada

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
AR4.0ada	G - S	G - -	G - -	LMDZ5A, AR4	1982_1991	AR4.0ada	2.3313	2.262	242.251	239.989	269.468	-45.4436	29.479	-15.9646		2.82148	24.3664
NPv3.1ada	G - S	G - S	- - -	LMDZ5B, NPv3.1	1982_1991	NPv3.1ada	-1.5906	-2.408	237.567	239.975	267.2	-50.1772	27.225	-22.9522		2.86568	24.7668
LMDZOR.6.0.12split	G - -	- - -	- - -	LMDZ6beta, Reglage Npv6.0.12split	1980_1999	LMDZOR.6.0.12split	3.479	2.828	240.888	238.06	263.3	-47.5085	25.24	-22.2685		2.99137	25.3248

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)