MX-Escandon: ASLUMv3.1

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	21.8095	20.277	1.63507	0.978232	2.31396	57.612	29.1052	0.68884	20.277	0.635071	0.0217682	0.804871	0.0593791	0.230325
SWup	detailed	5.62535	-3.92078	1.00057	0.976116	2.55744	0.850019	7.69993	0.218621	3.92078	0.000567236	0.0238839	0.582767	0.0344448	0.129338
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	23.2679	-14.8364	0.812693	0.513762	2.89997	23.4864	36.2642	0.90852	14.8364	0.187307	0.486238	0.479231	0.370562	0.52157
Qle	detailed	22.6225	-6.38566	1.09216	0.556184	2.89999	2.16657	36.5798	0.988904	6.38566	0.0921617	0.443816	0.483524	1.53481	0.465603
Qh	baseline	42.1585	-37.9707	0.573797	0.738801	1.03112	97.8886	65.9615	0.69383	37.9707	0.426203	0.261199	0.49698	2.40752	0.428863
Qh	detailed	35.3036	-26.4048	0.823357	0.769936	1.07676	40.0435	56.3488	0.640353	26.4048	0.176643	0.230064	0.404473	1.67818	0.416503
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