KR-Jungnang: CLMU5VEG

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	8.97057	-6.76188	0.751619	0.982968	3.92027	20.3853	11.8224	0.295459	6.76188	0.248382	0.0170318	0.0535968	0.079525	0.154626
SWup	detailed	5.43213	2.16019	0.923293	0.982703	5.35437	1.40682	6.73902	0.194483	2.16019	0.0767081	0.0172966	0.0454585	0.0833503	0.109862
LWup	baseline	9.08953	5.63553	1.13653	0.989073	0.257448	34.5036	15.2135	0.208513	5.63553	0.13653	0.0109265	1.28794	0.666226	0.0528243
LWup	detailed	13.6549	10.08	1.21204	0.979602	1.10901	52.2468	23.1349	0.307259	10.08	0.212042	0.0203976	1.6602	0.886011	0.0642888
Qle	baseline	19.8429	-11.8995	0.785908	0.332048	7.50789	37.9494	32.0927	1.04677	11.8995	0.214094	0.667952	2.10004	3.17016	0.543238
Qle	detailed	19.9264	-12.1446	0.776965	0.330241	7.49651	38.1667	32.1184	1.04427	12.1446	0.223036	0.669759	2.05617	3.01797	0.566696
Qh	baseline	41.319	3.52732	1.32833	0.811663	4.99468	72.2653	59.873	0.779839	3.52732	0.328329	0.188337	0.178049	0.180644	0.207113
Qh	detailed	36.0739	-5.78368	1.14404	0.811103	2.90092	31.2744	51.9056	0.673023	5.78368	0.144039	0.188897	0.172586	0.156627	0.190181

• 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