US-Baltimore: JULES_MORUS

NOTE: Results presented here are highly dependent on how models are configured in this experiment and may be subject to variable output formatting errors. Results are not intended to indicate the quality of any individual model, but to help participants better understand and improve modelling approaches in different urban environments.

Submitted metadata

• Baseline
• Detailed

Error metrics

flux	experiment	MAE	MBE	nSD	R	5th	95th	RMSE	cRMSE	AMBE	1-nSD	1-R	nSkewness	nKurtosis	Overlap
SWup	baseline	11.8469	10.1956	1.34165	0.976321	0.280114	31.3227	17.5117	0.424577	10.1956	0.341653	0.0236793	0.593476	1.42206	0.125879
SWup	detailed	12.5668	10.83	1.3744	0.973267	0.229975	34.1181	18.909	0.462233	10.83	0.3744	0.0267334	0.67431	1.58439	0.129342
LWup	baseline	5.16466	-2.21734	1.05478	0.994159	5.48832	6.28735	7.19104	0.12378	2.21734	0.0547761	0.00584062	1.92032	0.102562	0.0527591
LWup	detailed	6.85374	-2.59509	1.07643	0.990909	7.58585	9.87677	9.18421	0.159415	2.59509	0.0764318	0.00909075	2.66341	0.172592	0.0658137
Qle	baseline	25.4141	3.02543	0.948786	0.823866	14.8677	2.42669	42.093	0.580388	3.02543	0.0512142	0.176134	0.0593818	0.313198	0.216001
Qle	detailed	25.1786	2.47942	0.938229	0.825491	14.7944	5.77673	41.7089	0.575564	2.47942	0.061771	0.174509	0.0606644	0.314595	0.215016
Qh	baseline	32.532	-3.53544	0.814879	0.825918	11.9091	44.3455	50.1304	0.563898	3.53544	0.185121	0.174082	0.104781	0.801386	0.166829
Qh	detailed	29.9665	-2.70281	0.884819	0.852516	8.16	27.9016	46.5195	0.523699	2.70281	0.115181	0.147484	0.061239	0.437848	0.101011
SoilTemp	baseline	1.62884	-0.399878	0.945521	0.968141	0.265099	1.98952	2.38521	0.251425	0.399878	0.0544828	0.0318589	1.39513	0.126016	0.120845
SoilTemp	detailed	1.66329	-0.57686	0.936104	0.966905	0.268599	2.30457	2.47175	0.256989	0.57686	0.0638998	0.0330951	1.35635	0.134147	0.115884
Qtau	baseline	0.0954289	-0.0185919	0.814047	0.881988	0.0101933	0.136976	0.145513	0.476145	0.0185919	0.185953	0.118012	0.0661788	0.143029	0.143192
Qtau	detailed	0.0975648	-0.0463718	0.734099	0.885267	0.00325862	0.216197	0.155311	0.489033	0.0463718	0.265901	0.114733	0.0631277	0.138275	0.133487

• MAE: mean absolute error (close to 0 is better)
• MBE: mean bias error (close to 0 is better)
• NSD: ratio of model to obs standard deviation (close to 1 is better)
• R: Pearson’s correlation (close to 1 is better)
• all others: closer to 0 is better

Link to variable definitions

subset_SWup_v0-9

out of range: baseline

out of range: detailed

Link to variable definitions