MX-Escandon: SUEWS

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	5.20112	-1.97385	1.07548	0.980374	2.44879	5.05488	6.9222	0.21889	1.97385	0.0754837	0.019626	0.660086	0.0260476	0.133429
SWup	detailed	5.65065	-4.4518	1.01232	0.980374	2.49068	0.675	7.51437	0.199718	4.4518	0.0123152	0.019626	0.660086	0.0260476	0.126463
LWup	baseline	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan
LWup	detailed	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan
Qle	baseline	28.4961	-25.0378	0.224084	0.204431	2.90078	81.8968	43.5723	0.979078	25.0378	0.775916	0.795569	1.62761	5.07502	0.606408
Qle	detailed	28.0799	-25.0108	0.208254	0.311599	2.90113	81.3335	42.8659	0.955817	25.0108	0.791746	0.688401	1.20805	3.54385	0.604433
Qh	baseline	67.5818	65.1535	1.2498	0.858757	24.2134	83.955	82.1924	0.644555	65.1535	0.249802	0.141243	0.49324	1.81062	0.422337
Qh	detailed	38.2351	27.082	1.25674	0.869852	3.64135	60.509	55.7551	0.626931	27.082	0.256745	0.130148	0.309622	1.40641	0.198666
Qtau	baseline	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan
Qtau	detailed	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan

• 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