US-WestPhoenix: CLMU5VEG

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	12.519	11.408	1.18334	0.995884	2.24275	28.128	15.6418	0.208216	11.408	0.183339	0.00411561	0.12349	0.0113955	0.104605
SWup	detailed	5.18932	2.37342	1.07122	0.99555	2.62531	10.105	6.64971	0.120858	2.37342	0.0712186	0.00445035	0.242229	0.0192854	0.101824
LWup	baseline	8.67042	4.37717	1.07625	0.992833	1.85333	23.7939	12.152	0.145739	4.37717	0.0762479	0.00716676	0.433876	0.449987	0.0499541
LWup	detailed	7.46037	7.17041	1.02821	0.99664	7.37744	17.0978	9.9012	0.0877783	7.17041	0.0282066	0.00335998	0.295207	0.335869	0.0531214
Qle	baseline	15.4439	-12.0536	0.484406	0.495953	0.572355	48.0471	26.507	0.868426	12.0536	0.515593	0.504047	0.322164	9.23319	0.341337
Qle	detailed	15.4688	-11.9401	0.440374	0.495782	3.87395	48.4213	26.4989	0.870213	11.9401	0.559625	0.504218	0.514639	8.56211	0.342469
Qh	baseline	25.3556	14.6935	1.3017	0.963855	1.51523	86.3308	41.838	0.430255	14.6935	0.301698	0.0361449	0.0191198	0.273135	0.275643
Qh	detailed	23.3344	16.3787	1.20327	0.960413	8.83368	71.6152	37.4231	0.369578	16.3787	0.203277	0.0395867	0.0217329	0.0576811	0.159423
Qtau	baseline	0.0374742	-0.0196292	0.800297	0.860836	0.000209424	0.0617017	0.0595612	0.512471	0.0196292	0.199703	0.139164	0.160003	0.321823	0.101394
Qtau	detailed	0.047914	-0.0396378	0.531108	0.85559	0.000522737	0.13908	0.0778809	0.610945	0.0396378	0.468892	0.14441	0.169474	0.33592	0.222998
SoilTemp	baseline	3.60781	-2.60398	0.909089	0.96725	0.309635	4.4768	4.31447	0.260404	2.60398	0.0909103	0.03275	0.990453	0.0619072	0.10798
SoilTemp	detailed	2.58475	-1.19152	0.899536	0.977531	1.08764	3.27352	3.19934	0.22476	1.19152	0.100463	0.0224695	0.581104	0.0158439	0.0783321

• 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