KR-Ochang: 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	22.2064	-22.2019	0.53374	0.943223	1.97665	60.4658	33.7263	0.527264	22.2019	0.466261	0.0567775	0.62818	1.26831	0.124419
SWup	detailed	10.2081	5.75957	0.987345	0.940927	1.48673	6.49344	17.4353	0.341776	5.75957	0.0126566	0.0590728	0.653875	1.27638	0.12391
LWup	baseline	14.626	14.4413	1.12941	0.984715	11.806	43.6108	20.3691	0.226437	14.4413	0.129413	0.0152847	5.57925	0.408266	0.0814372
LWup	detailed	10.9274	9.92429	1.04682	0.989869	13.364	21.4211	13.8808	0.15298	9.92429	0.0468232	0.0101307	3.15013	0.126473	0.0903046
Qle	baseline	30.0172	8.698	1.13068	0.681716	3.39184	34.308	48.2858	0.858388	8.698	0.130676	0.318284	0.220401	0.636266	0.202663
Qle	detailed	28.1027	6.25653	1.14963	0.697636	2.88037	34.643	47.288	0.847117	6.25653	0.149633	0.302364	0.238223	0.689011	0.239123
Qh	baseline	26.6648	15.4966	0.95271	0.872887	8.76547	8.1492	36.618	0.49441	15.4966	0.0472889	0.127113	0.184272	0.455543	0.359608
Qh	detailed	25.6868	4.94398	0.766731	0.850709	8.88456	28.8526	36.0607	0.532304	4.94398	0.233269	0.149291	0.13685	0.307398	0.383407

• 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