FI-Kumpula: TEB-SPARTCS

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	10.9647	-9.96485	0.819281	0.976944	1.05264	26.9453	15.7691	0.265402	9.96485	0.180729	0.023056	0.0417555	0.0761744	0.137146
SWup	detailed	8.7184	-6.43202	0.832039	0.971774	0.940999	19.5478	14.1701	0.274191	6.43202	0.167971	0.0282256	0.181678	0.433033	0.144148
LWup	baseline	10.1756	1.38405	1.22177	0.985619	13.0156	30.6135	15.3719	0.290385	1.38405	0.221768	0.0143813	2.12753	0.514568	0.109511
LWup	detailed	7.23149	-3.0975	1.10703	0.989665	12.1284	9.39515	10.2489	0.185307	3.0975	0.107027	0.0103354	0.60609	0.0811277	0.0833598
Qle	baseline	15.1107	-6.78146	0.598548	0.715707	5.75018	36.2513	27.6423	0.708159	6.78146	0.401451	0.284293	0.0476723	0.173662	0.236768
Qle	detailed	15.4254	-2.44013	0.803135	0.709042	5.672	18.6332	27.0312	0.711417	2.44013	0.196864	0.290958	0.130934	0.288956	0.153945
Qh	baseline	29.0776	17.1027	0.839018	0.804424	19.7712	17.1261	39.1005	0.595063	17.1027	0.160983	0.195576	0.167876	0.192467	0.321235
Qh	detailed	21.0036	0.41259	0.927964	0.83415	1.68355	15.559	33.0605	0.559459	0.41259	0.0720366	0.16585	0.202036	0.26997	0.0907081

• 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