KR-Jungnang: 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	8.17017	1.34664	0.985121	0.859754	5.1042	5.12183	17.3128	0.525871	1.34664	0.0148805	0.140246	2.36382	6.97447	0.122681
SWup	detailed	13.0472	12.8083	1.13072	0.926747	7.29194	18.5588	18.998	0.427486	12.8083	0.130717	0.0732528	0.569158	1.43411	0.144471
LWup	baseline	22.5106	7.8364	1.3672	0.971566	21.9272	69.839	32.215	0.461074	7.8364	0.367203	0.0284343	1.46308	0.899166	0.118752
LWup	detailed	10.6964	7.1266	1.12601	0.992838	2.24353	24.4888	14.0639	0.178905	7.1266	0.126005	0.00716226	0.302191	0.234751	0.0668683
Qle	baseline	19.8144	-10.7659	0.889879	0.338683	6.6329	42.0345	32.8619	1.09046	10.7659	0.110122	0.661317	2.02544	2.77125	0.480854
Qle	detailed	17.7287	-10.4922	0.672587	0.418071	6.67995	32.5563	28.8374	0.943396	10.4922	0.327414	0.581929	1.28881	1.22646	0.393412
Qh	baseline	41.5835	24.2966	1.37176	0.856393	18.5869	101.859	60.9621	0.729515	24.2966	0.371756	0.143607	0.169379	0.0262945	0.327276
Qh	detailed	30.3223	-1.60958	0.856592	0.831197	14.7537	10.4043	42.686	0.556558	1.60958	0.14341	0.168803	0.249523	0.725115	0.222936

• 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