(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : CM615-LR-amip1-p4K

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
CM615-LR-amip1-p4K	G - -	G - -	G - -	amip-p4K CMIP6	2005_2014	CM615-LR-amip1-p4K	-2.0617	-2.6678	243.636	246.304	269.891	-46.4317	23.587	-22.8447		3.43245	36.1497
CM615-LR-amip-p4K-lwoff-00	G - -	G - -	G - -	amip-p4K-lwoff CMIP6	2005_2014	CM615-LR-amip-p4K-lwoff-00	-14.6418	-15.3283	251.672	267	267	-37.4876	0	-37.4876		3.37606	33.8905

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)