JP-Yoyogi: Lodz-SUEB

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	7.32786	4.17517	1.17574	0.965256	1.13133	20.0531	11.9329	0.335536	4.17517	0.175737	0.0347444	0.212101	0.310035	0.114328
SWup	detailed	5.73847	-1.83645	1.01897	0.965256	1.29803	3.7198	9.07545	0.266772	1.83645	0.0189718	0.0347444	0.2121	0.310035	0.0992431
LWup	baseline	18.4676	14.5749	1.41655	0.957568	7.43889	70.6681	31.0814	0.541963	14.5749	0.416544	0.0424321	2.35448	1.79201	0.0923391
LWup	detailed	24.7129	23.9306	1.47915	0.948544	0.513892	89.3019	39.3994	0.617909	23.9306	0.479152	0.051456	2.70557	2.03017	0.095303
Qle	baseline	26.3575	-22.0246	0.474038	0.501441	0.366208	59.7925	39.692	0.865626	22.0246	0.525962	0.498559	0.3981	1.93857	0.486515
Qle	detailed	26.3356	-21.0008	0.516037	0.484779	0.309608	51.8905	39.4417	0.875195	21.0008	0.483963	0.515221	0.372815	1.80082	0.484608
Qh	baseline	21.9896	6.62597	1.0682	0.886817	13.407	21.0285	33.4508	0.496442	6.62597	0.0681989	0.113183	0.121161	0.127835	0.137024
Qh	detailed	26.5575	17.1812	1.02539	0.889702	21.4387	23.0652	35.8425	0.476277	17.1812	0.0253853	0.110298	0.0541613	0.0170231	0.22394

• 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