KR-Jungnang: CLMU5

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	7.68325	-4.99848	0.789006	0.982923	4.14383	16.203	10.0984	0.267333	4.99848	0.210995	0.0170774	0.0248222	0.0634187	0.143784
SWup	detailed	5.36424	1.86875	0.920601	0.982771	5.2402	1.7263	6.66774	0.195004	1.86875	0.0794001	0.0172291	0.0295835	0.0749713	0.108089
LWup	baseline	11.2012	6.0788	1.16734	0.98476	2.08112	40.9071	18.1382	0.25216	6.0788	0.167341	0.0152402	1.48463	0.790506	0.0603521
LWup	detailed	13.8519	10.0339	1.21556	0.979053	1.53528	52.784	23.4094	0.312077	10.0339	0.215562	0.0209467	1.68489	0.902382	0.0656776
Qle	baseline	18.7763	-10.1741	0.800413	0.34781	7.30756	38.3433	31.3407	1.04109	10.1741	0.199588	0.65219	2.10682	3.23262	0.450004
Qle	detailed	18.8475	-10.6226	0.767679	0.343504	7.48402	38.5112	31.2053	1.0305	10.6226	0.232323	0.656496	2.05565	3.05901	0.475902
Qh	baseline	42.9525	0.994331	1.37136	0.816714	7.70255	75.1757	61.3512	0.800378	0.994331	0.371353	0.183286	0.152824	0.0114096	0.280644
Qh	detailed	35.7859	-6.96227	1.13059	0.811451	3.15895	27.6553	51.5078	0.665882	6.96227	0.13059	0.188549	0.166947	0.123282	0.195514

• 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