PL-Lipowa: 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	14.4511	11.3963	1.68895	0.906151	0.783	45.5765	21.4186	0.889755	11.3963	0.688947	0.0938488	0.120833	1.16012	0.232774
SWup	detailed	4.79147	-2.43014	1.01337	0.906151	0.9858	3.2579	9.21942	0.436332	2.43014	0.013368	0.0938488	0.120833	1.16012	0.140243
LWup	baseline	16.8711	-14.8951	1.09514	0.986454	15.8424	2.75159	18.9469	0.196778	14.8951	0.0951361	0.0135463	0.508888	1.60821	0.144024
LWup	detailed	15.4114	-5.54692	1.20841	0.980755	12.5616	30.0299	18.689	0.299906	5.54692	0.208402	0.0192448	0.823426	2.15874	0.135919
Qle	baseline	17.4541	-1.60584	0.952493	0.627977	12.1384	4.2623	27.4682	0.843182	1.60584	0.0475069	0.372023	0.353001	0.0822844	0.37905
Qle	detailed	17.8745	0.226639	1.02368	0.628884	12.1576	11.7457	28.3591	0.871991	0.226639	0.0236779	0.371116	0.309176	0.166056	0.386297
Qh	baseline	25.5463	15.8283	0.907165	0.889078	22.2878	2.7054	34.5693	0.458113	15.8283	0.0928352	0.110922	0.169206	0.499785	0.286812
Qh	detailed	28.4627	18.1294	0.816925	0.883919	26.4277	10.3148	36.5112	0.472415	18.1294	0.183076	0.116081	0.210264	0.55148	0.376622

• 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