FI-Kumpula: 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	13.4818	-9.64763	0.768974	0.78148	0.35	14.5665	30.313	0.624056	9.64763	0.231035	0.21852	0.39359	1.01648	0.151964
SWup	detailed	13.6243	-12.0242	0.717709	0.78148	0.42	21.9054	31.2838	0.627181	12.0242	0.282299	0.21852	0.39359	1.01648	0.124465
LWup	baseline	11.9454	4.48682	1.15859	0.969005	4.6977	30.3447	17.0197	0.311404	4.48682	0.158589	0.0309949	2.21401	1.1494	0.0968183
LWup	detailed	13.8585	9.67062	1.19818	0.965294	2.441	43.1452	20.8293	0.349921	9.67062	0.198179	0.0347059	3.4731	1.25363	0.100692
Qle	baseline	14.7784	-8.88202	0.71572	0.769603	4.7068	26.6536	25.8238	0.640792	8.88202	0.284279	0.230397	0.0740723	0.080157	0.316048
Qle	detailed	14.5351	-8.19216	0.725408	0.774493	5.4234	25.4813	25.3687	0.634485	8.19216	0.274591	0.225507	0.0762192	0.0593433	0.295695
Qh	baseline	23.7182	-9.35479	0.706609	0.802018	8.8109	41.2348	36.9453	0.604871	9.35479	0.293392	0.197982	0.0394331	0.0586836	0.22131
Qh	detailed	23.9978	-6.95597	0.661665	0.805371	11.5644	43.4863	36.706	0.609941	6.95597	0.338336	0.194629	0.0616826	0.232243	0.1899

• 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