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	- - -	- - -	- - -	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	- - -	- - -	- - -	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
RIM681Std2	- - -	- - -	- - -	X	X	Regl. 681Std1	1987_1987	3.5727	2.7609	242.169	239.408	262.69	-45.7838	23.282	-22.5018		3.21322	26.5766
Ep13Fal60.682	- - -	- - -	- - -	X	X	RIM681Std2, epmax=0.996, fallv=1.3	1987_1987	3.2989	2.4409	242.683	240.242	262.803	-45.2598	22.561	-22.6988		3.21865	26.4968
RIM681Std4	- - -	- - -	- - -	X	X	Ep13Fal60.682, lmixmin=1.	1987_1987	3.7929	3.0169	243.55	240.533	262.772	-44.4417	22.239	-22.2027		3.20517	26.27
CLC17.814	- - -	- - -	- - -	X	X	RIM681Std4, cld_lc=0.17	1987_1987	.	.	.	.	.	.	.	.	.	.	.
EPM55.814	- - -	- - -	- - -	X	X	RIM681Std4, epmax=0.9955	1987_1987	.	.	.	.	.	.	.	.	.	.	.
FAL15.814	- - -	- - -	- - -	X	X	RIM681Std4, fallv=1.5	1987_1987	.	.	.	.	.	.	.	.	.	.	.
CDO80.814	- - -	- - -	- - -	X	X	RIM681Std4, f_cdrag_oce=0.8	1987_1987	.	.	.	.	.	.	.	.	.	.	.
CTA12.814	- - -	- - -	- - -	X	X	RIM681Std4, cld_tau=1200.	1987_1987	.	.	.	.	.	.	.	.	.	.	.

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)