CA-Sunset: 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	7.78313	6.31159	1.22118	0.976275	0.659346	17.5545	11.1402	0.326901	6.31159	0.221177	0.0237254	0.103105	1.43129	0.108739
SWup	detailed	5.09345	2.85198	1.12204	0.9757	0.678933	9.119	7.92963	0.263486	2.85198	0.122044	0.0242995	0.0369566	0.590948	0.0769877
LWup	baseline	6.75112	-1.18353	1.0483	0.972634	5.87536	0.303196	10.3033	0.244351	1.18353	0.0482958	0.0273657	0.220579	0.883483	0.0586858
LWup	detailed	7.20352	-0.583189	1.09566	0.972685	7.16986	5.81378	11.0187	0.262691	0.583189	0.0956554	0.0273151	0.157157	0.613779	0.0648466
Qle	baseline	18.7286	-7.6845	0.673812	0.706067	7.46981	30.4548	33.2092	0.70888	7.6845	0.32619	0.293933	0.228358	0.746849	0.213897
Qle	detailed	18.6506	-7.48361	0.680526	0.706954	7.34209	29.6554	33.1133	0.707753	7.48361	0.319476	0.293046	0.228616	0.749626	0.201623
Qh	baseline	29.2502	-2.17609	0.760373	0.9204	12.6609	58.2641	43.7576	0.422459	2.17609	0.239629	0.0795996	0.0138344	0.00125869	0.275135
Qh	detailed	25.7976	-0.870613	0.807449	0.935213	13.6762	43.5235	38.9516	0.376431	0.870613	0.192554	0.0647872	0.0067718	0.0452477	0.243044
Qtau	baseline	0.101363	0.0588048	1.50867	0.314675	0.00662236	0.133515	0.153979	1.52532	0.0588048	0.508663	0.685325	0.0299495	0.0135043	0.24695
Qtau	detailed	0.0672392	0.00249025	0.945422	0.318944	0.00109141	0.0176554	0.106025	1.13611	0.00249025	0.0545823	0.681056	0.0522673	0.0587463	0.0599885
SoilTemp	baseline	1.99731	1.27268	0.993023	0.949231	1.77438	0.999942	2.46528	0.317614	1.27268	0.0069737	0.0507693	0.375063	0.426433	0.128365
SoilTemp	detailed	2.04377	1.37205	1.00511	0.95018	1.73123	1.21731	2.51185	0.316507	1.37205	0.00511503	0.0498205	0.414271	0.428079	0.133611

• 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