PL-Narutowicza: 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	15.7475	12.1302	1.63073	0.892837	0.2445	45.2835	22.2662	0.864483	12.1302	0.63073	0.107163	0.119169	1.38494	0.19598
SWup	detailed	5.2296	-2.93737	0.978439	0.892837	0.2253	1.4421	10.3284	0.458443	2.93737	0.0215618	0.107163	0.119169	1.38494	0.10077
LWup	baseline	12.7707	-0.159991	1.1099	0.971776	3.18609	18.4265	15.901	0.273369	0.159991	0.109902	0.0282245	0.559072	1.94494	0.0897118
LWup	detailed	16.6397	9.53796	1.21547	0.966332	3.04271	44.2212	22.9112	0.358152	9.53796	0.215474	0.0336679	1.01217	2.69373	0.0884348
Qle	baseline	25.7819	-8.92921	0.952436	0.613564	13.9557	4.4891	38.071	0.859287	8.92921	0.0475668	0.386436	1.06463	2.76251	0.413447
Qle	detailed	25.9965	-6.49007	1.01397	0.615968	14.6124	3.8519	38.5633	0.882602	6.49007	0.0139628	0.384032	0.974108	2.29694	0.409404
Qh	baseline	23.4452	0.506842	0.782365	0.889888	23.6217	31.0811	34.2114	0.46868	0.506842	0.217637	0.110112	0.0445409	0.0519766	0.222865
Qh	detailed	25.9595	3.97935	0.717945	0.882648	25.0646	40.7135	36.5689	0.498056	3.97935	0.282057	0.117352	0.0580246	0.238963	0.267955

• 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