AU-Preston: Lodz-SUEB

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	2.71602	-0.245991	1.00846	0.996798	0.54	1.4706	3.77269	0.0808008	0.245991	0.00846092	0.00320151	0.0134997	0.0252886	0.0588356
SWup	detailed	2.71602	-0.245991	1.00846	0.996798	0.54	1.4706	3.77269	0.0808008	0.245991	0.00846092	0.00320151	0.0134997	0.0252886	0.0588356
LWup	baseline	14.7285	11.0129	1.37505	0.972715	5.16011	52.1644	22.4112	0.464433	11.0129	0.375046	0.0272852	0.113167	0.124253	0.101825
LWup	detailed	15.1716	13.4748	1.34378	0.974056	0.898915	51.1555	22.6598	0.433484	13.4748	0.343774	0.0259444	0.129	0.180294	0.098573
Qle	baseline	22.2745	-4.2898	0.891155	0.688772	10.1101	7.8283	36.9969	0.752697	4.2898	0.108846	0.311228	0.0200439	0.394696	0.411849
Qle	detailed	22.4574	-3.57759	0.901176	0.68459	10.1397	6.7596	37.2966	0.760425	3.57759	0.0988254	0.31541	0.017316	0.380899	0.384402
Qh	baseline	18.0069	2.25025	0.914339	0.947864	12.9927	10.8057	29.4931	0.320434	2.25025	0.0856605	0.0521361	0.00514633	0.0743054	0.100778
Qh	detailed	20.8275	9.53646	0.962316	0.94525	18.1184	6.1103	31.4704	0.326792	9.53646	0.0376839	0.0547496	0.0121653	0.0614089	0.142519
Qtau	baseline	0.0987742	0.00953565	0.855997	0.87	0.00220475	0.104686	0.152968	0.49325	0.00953565	0.144002	0.13	0.24059	0.432768	0.10288
Qtau	detailed	0.0995944	-0.00208757	0.78204	0.869965	0.0077014	0.161441	0.15505	0.500891	0.00208757	0.217959	0.130035	0.235534	0.41773	0.134175

• 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