KR-Jungnang: 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	8.17323	-5.25892	0.784682	0.978505	4.21809	16.2237	10.6745	0.283013	5.25892	0.215319	0.0214955	0.0546649	0.00233613	0.153864
SWup	detailed	6.14428	-1.07232	0.86381	0.978299	4.92894	7.38314	7.84362	0.236727	1.07232	0.136192	0.0217014	0.0466199	0.00877799	0.123042
LWup	baseline	5.85482	-5.02327	0.963933	0.99715	1.57539	11.2744	7.51284	0.0824324	5.02327	0.0360678	0.00284993	0.199696	0.124578	0.0450543
LWup	detailed	6.38695	-5.78854	0.963652	0.997125	2.49056	12.3523	8.06365	0.0828351	5.78854	0.036349	0.00287472	0.2141	0.12956	0.0475263
Qle	baseline	19.0799	-13.4317	0.516663	0.331363	7.30947	41.791	30.4946	0.961527	13.4317	0.483338	0.668637	1.39317	1.37843	0.627377
Qle	detailed	19.2472	-13.8405	0.506901	0.327951	7.30912	44.2987	30.6761	0.961494	13.8405	0.4931	0.672049	1.5703	1.76596	0.610347
Qh	baseline	59.3927	51.9823	1.12362	0.818808	20.3287	62.3031	71.9979	0.649973	51.9823	0.123622	0.181192	0.423916	1.58908	0.332615
Qh	detailed	65.6401	59.7008	1.27913	0.834781	19.8031	93.561	80.651	0.707519	59.7008	0.279124	0.165219	0.39593	1.59895	0.314636

• 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