JP-Yoyogi: ASLUMv2.0

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	9.80235	7.57573	1.27598	0.964493	1.06259	30.7619	15.5725	0.408381	7.57573	0.275977	0.0355065	0.259625	0.395234	0.131414
SWup	detailed	5.81223	0.930568	1.08247	0.965341	1.20173	10.3523	9.57587	0.286067	0.930568	0.0824639	0.0346589	0.170596	0.238024	0.0983867
LWup	baseline	11.9097	1.91023	1.23022	0.981009	13.8221	29.1018	16.1098	0.315796	1.91023	0.23022	0.0189907	0.736335	0.590567	0.104317
LWup	detailed	7.89479	-2.47673	1.11408	0.988349	9.61879	10.1723	10.3022	0.197421	2.47673	0.114084	0.0116508	0.349573	0.236104	0.073121
Qle	baseline	21.0501	-10.0631	0.749234	0.507498	0.292847	28.8885	35.5906	0.894921	10.0631	0.250766	0.492502	0.184389	0.190691	0.190575
Qle	detailed	22.8805	-6.72882	0.926456	0.461705	0.162873	14.3571	38.7886	1.00141	6.72882	0.0735439	0.538295	0.353362	0.706569	0.18974
Qh	baseline	22.2814	-5.90447	0.950525	0.874648	8.77734	7.80428	32.9397	0.49066	5.90447	0.0494762	0.125352	0.164745	0.268843	0.19415
Qh	detailed	24.2575	-1.56457	1.09583	0.87025	0.897229	14.5362	35.818	0.541802	1.56457	0.0958249	0.12975	0.128878	0.270267	0.137642

• 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