Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : V5.70a

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
V5.70a	G - -	G - -	G - -	X	X	6.0.5	1980_1989	2.8107	1.635	240.654	239.019	265.205	-45.5916	26.186	-19.4056		3.01581	24.6266
V5.70aZ0	G - -	G - -	G - -	X	X	6.0.5 noveaux z0	1980_1989	1.2539	0.079	240.178	240.099	265.841	-46.1032	25.742	-20.3612		3.15974	26.8722
V5.81rim1	G - -	G - -	G - -	X	X	6.0.7 Premier réglage (equivalent 606)	1980_1999	4.1649	3.05	239.853	236.803	262.453	-46.3429	25.65	-20.6929		3.11231	26.7982

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)