KR-Ochang: SUEWS

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	9.01692	-8.06119	0.793671	0.946717	1.32089	20.3344	18.9676	0.35658	8.06119	0.206331	0.0532826	0.524669	1.19413	0.0820733
SWup	detailed	6.88373	-0.646158	0.910671	0.945155	1.11845	3.57339	15.8274	0.328437	0.646158	0.0893302	0.0548448	0.564632	1.2256	0.0839449
LWup	baseline	9.83623	9.36127	1.01432	0.992734	10.515	14.2966	12.1565	0.122251	9.36127	0.0143184	0.0072661	1.28477	0.0626173	0.0699554
LWup	detailed	9.61697	9.05225	1.01183	0.992712	10.4779	13.4582	11.9105	0.122016	9.05225	0.0118249	0.00728786	1.22913	0.0542626	0.0682345
Qle	baseline	37.4384	-13.4234	1.06525	0.389795	3.42552	5.41341	64.6018	1.14206	13.4234	0.0652472	0.610205	0.748785	1.61312	0.352789
Qle	detailed	34.2375	-13.165	1.02088	0.469509	3.22191	2.3865	59.0826	1.04095	13.165	0.0208776	0.530491	0.544337	0.974755	0.425367
Qh	baseline	85.1415	81.5977	1.60079	0.801106	21.2256	163.743	105.598	0.998859	81.5977	0.600789	0.198894	0.371262	0.767488	0.540986
Qh	detailed	36.8614	1.92796	1.23969	0.766741	27.5049	48.2329	53.5416	0.797361	1.92796	0.239687	0.233259	0.0555126	0.0963243	0.307802

• 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