PL-Lipowa: 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	9.28778	6.68313	1.54863	0.906264	1.29	24.8162	17.0387	0.768977	6.68313	0.548632	0.0937362	0.993597	9.01812	0.204555
SWup	detailed	12.6145	10.7345	1.61775	0.946049	1.29	35.7813	18.6087	0.745773	10.7345	0.61775	0.053951	0.195971	0.717865	0.248935
LWup	baseline	20.5549	-16.3935	1.17225	0.979553	26.2741	14.063	23.3146	0.27858	16.3935	0.172244	0.0204469	0.537532	2.58671	0.165797
LWup	detailed	20.7575	-20.7478	0.970012	0.989925	22.0725	28.8592	22.4249	0.142989	20.7478	0.0299905	0.0100754	0.564741	0.409517	0.139174
Qle	baseline	19.448	-8.10507	0.657102	0.42472	11.9366	37.9164	31.4587	0.934673	8.10507	0.342898	0.57528	1.8512	3.99003	0.306228
Qle	detailed	16.5472	-6.5749	0.612254	0.613341	12.0947	29.599	26.514	0.789819	6.5749	0.387746	0.386659	0.767467	0.900742	0.306513
Qh	baseline	53.6937	52.6668	1.31779	0.903382	41.1354	111.817	66.1385	0.596348	52.6668	0.317784	0.0966182	0.0890256	0.39229	0.519826
Qh	detailed	46.2509	42.3918	0.964918	0.871487	37.5009	36.0421	54.0256	0.49924	42.3918	0.0350826	0.128513	0.140602	0.301651	0.511423

• 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