JP-Yoyogi: 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	9.5975	-8.37254	0.832184	0.961152	1.31045	15.1614	13.1577	0.304664	8.37254	0.167817	0.0388483	0.205092	0.331582	0.120815
SWup	detailed	6.31803	-1.05546	1.01906	0.961653	1.07287	4.52251	9.3949	0.28021	1.05546	0.019054	0.0383467	0.201134	0.323155	0.0914399
LWup	baseline	6.67152	3.0279	1.06855	0.986252	0.41301	15.7744	9.82894	0.184606	3.0279	0.0685459	0.013748	0.677023	0.451023	0.0487263
LWup	detailed	6.37654	2.46366	1.06407	0.987404	0.83195	14.4441	9.23993	0.175811	2.46366	0.0640657	0.0125955	0.633693	0.422049	0.0483933
Qle	baseline	23.3076	-18.6973	0.55591	0.527637	0.230051	52.0808	37.4273	0.849941	18.6973	0.44409	0.472363	0.226368	0.50428	0.419443
Qle	detailed	23.2367	-18.9167	0.544684	0.536627	0.139708	53.2048	37.3372	0.843858	18.9167	0.455316	0.463373	0.21743	0.473571	0.422648
Qh	baseline	70.5756	67.6854	1.16157	0.811275	30.859	75.1004	81.2875	0.681571	67.6854	0.16157	0.188725	0.45018	0.844831	0.471106
Qh	detailed	58.5557	54.1871	1.14069	0.822756	21.6666	61.6803	69.1841	0.651272	54.1871	0.14069	0.177244	0.379886	0.734905	0.408757

• 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