JP-Yoyogi: 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	10.4698	-9.72568	0.80332	0.966648	1.48701	19.2346	14.0357	0.303755	9.72568	0.196681	0.0333518	0.204682	0.564649	0.137767
SWup	detailed	10.4698	-9.72568	0.80332	0.966648	1.48701	19.2346	14.0357	0.303755	9.72568	0.196681	0.0333518	0.204682	0.564649	0.137767
LWup	baseline	12.7102	9.55084	1.28124	0.962669	3.42105	51.1073	23.2295	0.41804	9.55084	0.28124	0.0373313	2.29771	1.78603	0.0600638
LWup	detailed	12.7102	9.55084	1.28124	0.962669	3.42105	51.1073	23.2295	0.41804	9.55084	0.28124	0.0373313	2.29771	1.78603	0.0600638
Qle	baseline	26.9463	-15.135	0.877995	0.405107	0.255312	27.3377	42.0813	1.02933	15.135	0.122005	0.594893	0.684116	1.64444	0.403165
Qle	detailed	26.9463	-15.135	0.877995	0.405107	0.255312	27.3377	42.0813	1.02933	15.135	0.122005	0.594893	0.684116	1.64444	0.403165
Qh	baseline	31.6185	17.8928	1.43439	0.889533	0.776703	88.4642	50.2561	0.711055	17.8928	0.434388	0.110467	0.107577	0.133139	0.0888651
Qh	detailed	31.6185	17.8928	1.43439	0.889533	0.776703	88.4642	50.2561	0.711055	17.8928	0.434388	0.110467	0.107577	0.133139	0.0888651

• 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