Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : CEV45M5.837

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
CEV45M5.837	- - -	- - -	- - -	X	X	Regl.608.3:ttop+wdens (ratqshaut=0.40)	1987_1987	4.0176	2.6977	243.934	241.236	263.082	-43.787	21.846	-21.941		3.18836	25.4556
RIM683Std8	- - -	- - -	- - -	X	X	CEV45M5.837, ratqshaut=0.25	1987_1987	6.919	5.7103	243.771	238.061	262.494	-44.2078	24.433	-19.7748		3.13679	26.0225
RIM683Std10	- - -	- - -	- - -	X	X	Idem RIM683Std8, sources LMDZ2824	1987_1987	7.8419	8.3259	246.145	237.819	262.558	-41.8809	24.739	-17.1419		3.17299	25.9212
RQH15.103	- - -	- - -	- - -	X	X	RIM683Std10, ratqshaut=0.15	1987_1987	9.4224	10.003	246.05	236.047	262.329	-42.0721	26.282	-15.7901		3.14952	26.1506

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)