JP-Yoyogi: 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	10.6605	-8.76042	0.899152	0.927851	2.38133	14.7575	15.233	0.374053	8.76042	0.100849	0.0721489	1.098	6.5786	0.165256
SWup	detailed	6.27136	-1.0287	1.06298	0.956267	2.38133	4.40856	10.4238	0.311353	1.0287	0.0629741	0.0437332	0.218067	0.826973	0.134808
LWup	baseline	21.8452	12.3118	1.5145	0.939636	16.1237	82.4256	36.0541	0.668994	12.3118	0.5145	0.0603635	2.63912	2.14431	0.108204
LWup	detailed	11.6111	10.7959	1.19189	0.989133	1.40814	33.249	16.6581	0.250453	10.7959	0.191889	0.0108671	1.04256	0.76032	0.0720976
Qle	baseline	25.696	-13.3813	0.921901	0.420392	0.253949	19.6644	41.7499	1.03672	13.3813	0.078099	0.579608	0.613433	1.21926	0.35796
Qle	detailed	20.5944	-14.6576	0.663098	0.558329	0.220377	41.9886	35.1051	0.836209	14.6576	0.336902	0.441671	0.480497	1.3077	0.296309
Qh	baseline	39.2955	33.9265	1.42755	0.890932	24.7568	107.221	57.5044	0.702995	33.9265	0.427552	0.109068	0.164125	0.154186	0.28142
Qh	detailed	30.6055	17.7804	0.902136	0.85523	24.5772	7.09129	38.6951	0.520367	17.7804	0.0978652	0.14477	0.187455	0.660213	0.307444

• 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