AU-SurreyHills: TEB-SPARTCS

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	11.6626	-11.6421	0.724536	0.993771	1.19264	33.6439	16.2147	0.291387	11.6421	0.275464	0.00622871	0.0378015	0.904689	0.14023
SWup	detailed	6.17524	-5.77311	0.832963	0.994026	1.13973	20.4469	9.49305	0.194561	5.77311	0.167037	0.0059742	0.0698432	0.369727	0.128001
LWup	baseline	15.343	12.6236	1.42973	0.962279	3.53388	50.2938	21.9689	0.540856	12.6236	0.429724	0.0377206	0.0974854	0.214758	0.16749
LWup	detailed	17.5325	17.5325	1.06162	0.991099	15.7377	23.1984	18.2338	0.150652	17.5325	0.0616222	0.00890081	0.0131851	0.0104004	0.282211
Qle	baseline	19.3542	-6.13944	0.824594	0.457909	4.30009	13.4636	33.4084	0.961653	6.13944	0.175406	0.542091	0.355128	0.188235	0.225626
Qle	detailed	19.6177	2.65164	0.869785	0.537901	3.11739	3.79619	31.0519	0.905986	2.65164	0.130215	0.462099	0.241195	0.612806	0.113086
Qh	baseline	22.6991	15.3908	1.05484	0.932804	14.6242	42.0631	32.5158	0.380486	15.3908	0.05484	0.067196	0.0668621	0.222186	0.226936
Qh	detailed	24.8606	14.3798	0.932055	0.91868	11.0268	8.00482	33.0452	0.395228	14.3798	0.0679446	0.0813196	0.190523	0.332021	0.274981
Qtau	baseline	0.149095	0.0440895	1.03905	0.848252	0.0250926	0.0656061	0.209984	0.562914	0.0440895	0.0390504	0.151748	0.206808	0.564795	0.156777
Qtau	detailed	0.309822	0.278581	1.55803	0.846596	0.0596555	0.691191	0.427332	0.888491	0.278581	0.558031	0.153404	0.121851	0.403149	0.264803

• 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