AU-SurreyHills: 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	3.75902	-2.80978	0.897331	0.995214	0.538382	12.7508	6.04965	0.138313	2.80978	0.102669	0.0047862	0.0739482	0.542509	0.115386
SWup	detailed	3.47668	-2.3841	0.910933	0.995369	0.531572	10.7304	5.49952	0.127943	2.3841	0.0890672	0.00463069	0.0541089	0.275871	0.105945
LWup	baseline	14.9998	14.8198	1.12848	0.977525	11.4858	28.2073	17.1443	0.25929	14.8198	0.128478	0.0224748	0.160024	0.37259	0.234577
LWup	detailed	14.9436	14.9173	1.12007	0.983575	11.5176	27.0151	16.707	0.2263	14.9173	0.12007	0.016425	0.131679	0.306108	0.237676
Qle	baseline	17.2559	-6.80121	0.713414	0.57831	1.67783	24.9801	29.0472	0.826928	6.80121	0.286586	0.42169	0.128397	0.0478604	0.226857
Qle	detailed	17.1239	-7.31113	0.703851	0.583934	2.60521	26.4499	28.962	0.82061	7.31113	0.296149	0.416066	0.194011	0.198922	0.237805
Qh	baseline	22.3871	-10.343	1.11966	0.93891	20.9749	19.1926	31.0404	0.388738	10.343	0.119654	0.0610903	0.113735	0.284758	0.21988
Qh	detailed	20.7118	-11.4484	1.01982	0.938154	15.4916	0.389516	29.1251	0.355719	11.4484	0.0198171	0.061846	0.100226	0.25096	0.203799
Qtau	baseline	0.123679	-0.0742453	0.812297	0.859678	0.00348625	0.228632	0.201307	0.513029	0.0742453	0.187703	0.140322	0.213075	0.549792	0.127954
Qtau	detailed	0.182917	-0.175813	0.524185	0.858127	0.00129727	0.548312	0.284277	0.612483	0.175813	0.475815	0.141873	0.249203	0.626171	0.236782

• 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