KR-Ochang: TEB-SPARTCS

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	15.7531	-14.9077	0.683121	0.930274	2.19674	40.6751	25.998	0.442352	14.9077	0.31688	0.069726	0.389912	0.728556	0.150872
SWup	detailed	10.2583	-8.40413	0.767627	0.930548	2.08209	27.2248	21.0482	0.40078	8.40413	0.232375	0.0694525	0.532292	1.05462	0.114078
LWup	baseline	18.9253	18.659	1.22547	0.984021	5.94706	60.8102	26.6526	0.299999	18.659	0.225469	0.0159786	5.78534	0.49129	0.0854236
LWup	detailed	11.8066	11.5369	1.11636	0.992422	5.7248	33.4474	15.9901	0.174525	11.5369	0.116356	0.0075783	3.47913	0.242595	0.0735971
Qle	baseline	24.3798	-9.40845	0.804613	0.661227	3.29183	24.9698	43.295	0.763766	9.40845	0.195387	0.338773	0.0386258	0.14223	0.220586
Qle	detailed	23.756	-2.49119	0.993854	0.724871	0.944237	2.76495	40.9955	0.739537	2.49119	0.00614732	0.275129	0.0676629	0.331996	0.18197
Qh	baseline	38.0454	35.6494	1.24421	0.905376	25.4561	71.6867	50.9876	0.543231	35.6494	0.244208	0.0946238	0.0301304	0.105137	0.545731
Qh	detailed	28.257	23.4971	1.19578	0.903021	15.7622	49.1591	42.0611	0.51987	23.4971	0.195786	0.0969794	0.0655103	0.202476	0.414273

• 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