MX-Escandon: UT&C

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	17.3665	15.3939	1.50329	0.982714	2.67848	41.7479	22.7475	0.552515	15.3939	0.50329	0.0172861	0.253448	0.0527728	0.251614
SWup	detailed	5.02797	-3.90632	1.02533	0.982922	2.83749	0.596685	6.92996	0.188843	3.90632	0.0253299	0.0170775	0.407981	0.0283892	0.13287
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	19.6222	-9.36292	0.685519	0.527428	3.06753	44.0875	32.8386	0.864183	9.36292	0.314481	0.472572	0.390918	1.71613	0.35738
Qle	detailed	22.5472	-15.5704	0.523302	0.413182	3.84145	66.8844	36.8596	0.917283	15.5704	0.476698	0.586818	1.76634	7.54546	0.429569
Qh	baseline	28.0437	-11.2257	1.00819	0.827325	1.55721	5.2246	47.228	0.590123	11.2257	0.00818851	0.172675	0.195174	0.51005	0.243832
Qh	detailed	31.0452	4.20188	1.25782	0.84025	3.03471	63.4615	53.3657	0.684357	4.20188	0.25782	0.15975	0.127794	0.139142	0.263314
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