KR-Jungnang: 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	10.6176	10.3924	1.09415	0.982638	6.56344	17.9748	12.589	0.216466	10.3924	0.0941484	0.0173621	0.0596679	0.00779655	0.133888
SWup	detailed	5.56447	-0.976432	0.87532	0.982638	4.72124	6.49666	7.10249	0.214336	0.976432	0.124681	0.0173621	0.0596679	0.00779663	0.119154
LWup	baseline	16.3136	13.1148	1.26208	0.984873	5.93638	58.4679	25.7459	0.326914	13.1148	0.262083	0.0151274	1.34574	0.738348	0.08498
LWup	detailed	47.1003	47.1003	1.31294	0.982664	24.1493	98.8856	53.6405	0.378752	47.1003	0.312938	0.0173358	1.45001	0.846928	0.184905
Qle	baseline	19.7947	-16.067	0.277254	0.32516	7.40636	62.5684	31.3845	0.946872	16.067	0.722747	0.67484	6.22156	30.7934	0.597683
Qle	detailed	19.7375	-14.8384	0.483279	0.248949	7.62226	61.8939	32.0178	0.996461	14.8384	0.516722	0.751051	5.73114	22.5094	0.579318
Qh	baseline	36.7123	-15.9636	0.992511	0.764426	1.22667	2.8283	54.7899	0.683868	15.9636	0.00749122	0.235574	0.249868	0.558965	0.227387
Qh	detailed	61.0065	42.5729	1.18319	0.73149	36.2848	84.4102	75.7748	0.817894	42.5729	0.183182	0.26851	0.163291	0.280532	0.377083

• 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