UK-Swindon: 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	2.43808	1.12989	1.02486	0.991934	0.8065	1.307	4.08006	0.130959	1.12989	0.0248611	0.00806561	0.092558	0.448606	0.0838601
SWup	detailed	2.33214	-0.994396	0.956537	0.991934	0.8404	5.0148	4.0633	0.131602	0.994396	0.043463	0.00806561	0.0925581	0.448606	0.0756419
LWup	baseline	10.1612	8.13849	1.31076	0.978466	0.430102	34.3018	15.8062	0.391185	8.13849	0.31076	0.0215344	0.928037	6.35348	0.0882888
LWup	detailed	11.4014	10.4936	1.31362	0.978015	1.8372	37.4985	17.246	0.395113	10.4936	0.313613	0.0219851	0.980519	6.55108	0.0910052
Qle	baseline	13.6628	-7.11877	0.982012	0.875205	2.7921	6.9776	21.2182	0.495402	7.11877	0.0179881	0.124795	0.118645	0.185676	0.372895
Qle	detailed	13.5404	-6.29836	0.997928	0.874791	2.8093	4.8997	21.1305	0.499903	6.29836	0.00207204	0.125209	0.109486	0.182392	0.378914
Qh	baseline	17.1161	9.95787	0.874477	0.94405	22.6866	9.616	22.8644	0.337062	9.95787	0.125523	0.0559504	0.0921968	0.168815	0.281034
Qh	detailed	20.0258	15.2376	0.888043	0.946693	26.3421	1.4185	25.1386	0.327434	15.2376	0.111957	0.0533073	0.0416631	0.0293222	0.337934
Qtau	baseline	0.123102	-0.112985	0.536405	0.806941	0.00284249	0.367039	0.202478	0.649643	0.112985	0.463596	0.193059	0.238563	1.8078	0.218164
Qtau	detailed	0.0877365	-0.0547258	0.729846	0.808957	0.00745641	0.212458	0.162884	0.593167	0.0547258	0.270155	0.191043	0.278217	1.99656	0.131061

• 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