AU-SurreyHills: 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	5.45375	-5.34132	0.876141	0.99532	0.6475	15.1593	7.99053	0.153435	5.34132	0.123859	0.00468038	0.0550838	1.0306	0.110613
SWup	detailed	2.52752	-0.418738	0.99296	0.99532	0.5557	0.555001	3.7675	0.0966666	0.418738	0.00704012	0.00468039	0.0550837	1.0306	0.0871526
LWup	baseline	12.0562	9.91207	1.28461	0.970664	2.9358	33.9504	16.4639	0.395439	9.91207	0.284606	0.029336	0.0227452	0.101267	0.159276
LWup	detailed	13.7619	13.2589	1.25599	0.974403	2.5543	35.5008	17.8683	0.360318	13.2589	0.255988	0.0255968	0.0453291	0.126868	0.177525
Qle	baseline	18.6378	-2.74343	1.0575	0.623463	2.44209	11.4215	30.6607	0.89425	2.74343	0.0575023	0.376537	0.102768	0.619067	0.39983
Qle	detailed	18.3715	-1.76645	1.05712	0.625056	4.55599	11.6964	30.5181	0.892178	1.76645	0.0571163	0.374944	0.119008	0.632614	0.412751
Qh	baseline	19.5353	-11.6029	0.643366	0.932349	5.0559	61.6427	36.7245	0.462857	11.6029	0.356634	0.0676508	0.215848	0.368237	0.115898
Qh	detailed	19.3979	-8.64943	0.630145	0.931549	9.1254	60.8309	36.5907	0.472293	8.64943	0.369855	0.068451	0.251669	0.435649	0.121721
Qtau	baseline	0.143155	-0.122989	0.691461	0.856833	0.011239	0.373297	0.232648	0.541466	0.122989	0.308539	0.143167	0.188115	0.498063	0.158688
Qtau	detailed	0.12431	-0.0648095	0.800721	0.856542	0.0023761	0.235258	0.200105	0.519087	0.0648095	0.19928	0.143458	0.184164	0.509716	0.115725

• 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