FI-Torni: 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	11.265	7.0487	1.27996	0.939724	1.6467	27.3017	14.9718	0.482371	7.0487	0.279965	0.060276	0.463076	0.298191	0.190874
SWup	detailed	5.54045	-3.48217	0.93864	0.939724	1.1142	1.3521	9.98973	0.341936	3.48217	0.061359	0.060276	0.463076	0.298191	0.125776
LWup	baseline	12.7196	3.18904	1.27375	0.971987	15.637	39.4518	19.0064	0.382498	3.18904	0.27375	0.0280135	1.19509	1.23954	0.132873
LWup	detailed	16.2691	12.65	1.36178	0.965313	2.29738	62.0263	26.4724	0.474715	12.65	0.361775	0.0346868	1.79817	1.63869	0.118177
Qle	baseline	17.4073	-8.87926	0.737653	0.524585	5.198	15.8692	29.1428	0.877616	8.87926	0.262347	0.475415	0.278146	1.06093	0.422135
Qle	detailed	17.3579	-7.41481	0.776825	0.521983	6.1302	11.5843	29.1156	0.890212	7.41481	0.223175	0.478017	0.264368	1.0451	0.413566
Qh	baseline	40.9296	-31.3288	0.784428	0.744016	1.102	44.948	56.7275	0.669382	31.3288	0.215573	0.255984	0.247228	0.170649	0.436259
Qh	detailed	37.7833	-24.8438	0.762067	0.745538	0.8605	45.9296	53.2506	0.666668	24.8438	0.237934	0.254462	0.10868	0.0727356	0.302517

• 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