Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : MP67

RUN	Atlas YEAR	Atlas --DJF--	Atlas --JJA--	Zonal mean	Dynamical regime	Cloud Fraction	Diurnal Cycle	Scatter Plots	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
MP67	- - -	- - -	- - -	X	X	Calipso Isccp	X	X	X	X	Reglage 5.67IM	1979_1979	3.4169	1.984	243.59	241.606	265.35	-43.3108	23.744	-19.5668		3.0399
MP67ep9999	- - -	- - -	- - -	X	X	Calipso Isccp	X	X	X	X	MP67, epmax=0.9999	1979_1979	3.8115	2.2993	248.464	246.165	265.043	-38.3521	18.878	-19.4741		3.12107
MP67hl1	- - -	- - -	- - -	X	X	Calipso Isccp	X	X	X	X	Reglage 67hl1 :MP67ep9999,ratqsp0=435 hPa	1979_1979	2.9909	1.5215	246.022	244.5	264.806	-40.8561	20.306	-20.5501		3.10559
MP67hl1lc45	- - -	- - -	- - -	X	X	Calipso Isccp	X	X	X	X	MP67hl1, cld_lc=4.5 g/kg	1979_1979	2.6363	1.2199	245.362	244.142	264.606	-41.4957	20.464	-21.0317		3.10542
MP67hl1qsp45	- - -	- - -	- - -	X	X	Calipso Isccp	X	X	X	X	MP67hl1, ratqsp0=450 hPa	1979_1979	2.7093	1.275	245.861	244.586	264.776	-41.0216	20.19	-20.8316		3.11134

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 MP67_1979_1979

Metrics with respect to AR4.00

Metrics with respect to CMIP5/AMIP multi model