JP-Yoyogi: CLMU5

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	9.24219	-8.20259	0.848397	0.965897	1.46712	14.6751	12.5308	0.284339	8.20259	0.151604	0.0341025	0.248936	0.764123	0.121084
SWup	detailed	9.24219	-8.20259	0.848397	0.965897	1.46712	14.6751	12.5308	0.284339	8.20259	0.151604	0.0341025	0.248936	0.764123	0.121084
LWup	baseline	14.2473	9.71071	1.31879	0.956315	5.30566	56.8316	25.5085	0.46567	9.71071	0.318787	0.043685	2.4758	1.93012	0.0676073
LWup	detailed	14.2473	9.71071	1.31879	0.956315	5.30566	56.8316	25.5085	0.46567	9.71071	0.318787	0.043685	2.4758	1.93012	0.0676073
Qle	baseline	23.047	-9.73869	0.879689	0.448027	2.46592	24.6734	39.1033	0.992776	9.73869	0.120311	0.551973	0.6783	1.71948	0.246943
Qle	detailed	23.047	-9.73869	0.879689	0.448027	2.46592	24.6734	39.1033	0.992776	9.73869	0.120311	0.551973	0.6783	1.71948	0.246943
Qh	baseline	30.0677	12.4593	1.40569	0.890865	4.74936	77.8349	47.0277	0.68659	12.4593	0.405692	0.109135	0.0731468	0.0136038	0.129477
Qh	detailed	30.0677	12.4593	1.40569	0.890865	4.74936	77.8349	47.0277	0.68659	12.4593	0.405692	0.109135	0.0731468	0.0136038	0.129477

• 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