NL-Amsterdam: 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	4.29208	2.92415	1.06256	0.98251	0.404495	6.24363	5.82956	0.202687	2.92415	0.0625633	0.0174897	0.0181056	0.17935	0.071985
SWup	detailed	11.4307	11.3098	1.31994	0.986356	0.852328	26.5718	14.6143	0.37199	11.3098	0.319936	0.0136435	0.0426808	0.0288318	0.106491
LWup	baseline	13.9602	7.76657	1.37909	0.972994	11.3041	42.9202	19.8267	0.467119	7.76657	0.379091	0.0270065	0.180546	0.0218484	0.12765
LWup	detailed	8.27813	5.82173	1.06208	0.980321	0.21481	7.40809	10.1746	0.213672	5.82173	0.0620791	0.0196791	0.352355	0.86578	0.108031
Qle	baseline	19.755	-11.6794	0.873032	0.609814	1.96081	16.0681	31.5587	0.835111	11.6794	0.126968	0.390186	0.776683	0.0265077	0.297145
Qle	detailed	17.4353	1.12074	1.06841	0.657814	0.276781	14.8554	30.1364	0.857828	1.12074	0.0684079	0.342186	0.239875	0.51941	0.101837
Qh	baseline	30.8096	10.6622	0.984083	0.869615	22.7976	33.6488	48.414	0.506827	10.6622	0.0159169	0.130385	0.83026	0.599794	0.200905
Qh	detailed	33.6088	7.26426	0.835268	0.854306	14.2904	13.0295	49.0053	0.520119	7.26426	0.164732	0.145694	0.604824	0.618417	0.168687
Qtau	baseline	0.243797	-0.19852	0.541772	0.754178	0.0272724	0.722666	0.463511	0.690168	0.19852	0.458228	0.245822	0.236039	0.608481	0.178522
Qtau	detailed	0.252051	0.0586206	0.827654	0.711059	0.0857109	0.161851	0.436495	0.712733	0.0586206	0.172346	0.288941	0.263413	0.576336	0.147655

• 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