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

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
V5.70a	- - -	- - -	- - -	Calipso Isccp	X	X	Run force de l'ete, V5.70a	1980_1989	2.8107	1.635	240.654	239.019	265.205	-45.5916	26.186	-19.4056		3.01581	24.6266
RIM2607b	- - -	- - -	- - -	X	X	X	Reglage no2 607bZ0, meilleurs reg.dyn.trop.(?)	1988_1996	5.5964	4.166	241.032	236.866	262.525	-46.3747	25.659	-20.7157		3.14206	27.0922
ELC50.RIM2607b	- - -	- - -	- - -	X	X	X	RIM2607b, elcrit=0.5g/kg	1988_1996	3.8282	2.257	238.149	235.892	262.587	-49.2779	26.695	-22.5829		3.1202	27.2334

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)