CA-Sunset: 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	5.04425	-0.286009	1.03198	0.935744	0.933333	1.57504	10.2697	0.365574	0.286009	0.0319789	0.0642563	0.233384	8.59433	0.0766762
SWup	detailed	9.20243	7.69687	1.28597	0.952577	0.933333	20.8858	14.8293	0.451383	7.69687	0.285972	0.0474225	0.049172	2.81175	0.120146
LWup	baseline	14.3757	6.81006	1.41667	0.957568	9.98606	50.8327	23.7052	0.542072	6.81006	0.416674	0.0424322	0.342684	1.01224	0.0962188
LWup	detailed	10.6212	5.40064	1.26505	0.968675	7.01297	30.0233	17.073	0.386664	5.40064	0.265055	0.0313247	0.0279422	0.118363	0.0877556
Qle	baseline	21.9618	-11.753	0.63294	0.609201	7.72485	42.8323	38.0208	0.793371	11.753	0.367062	0.390799	0.311151	0.429492	0.216075
Qle	detailed	19.4332	-9.04091	0.693293	0.697899	5.04151	32.186	33.8709	0.716211	9.04091	0.306709	0.302101	0.0104214	0.328638	0.170638
Qh	baseline	29.5579	18.4493	0.930535	0.94679	25.3776	9.4164	38.1026	0.322263	18.4493	0.0694688	0.0532104	0.020567	0.00681796	0.404364
Qh	detailed	24.3616	-1.69108	0.800393	0.940437	13.8208	48.2547	38.0745	0.367683	1.69108	0.19961	0.0595631	0.000451679	0.0110627	0.243543
Qtau	baseline	0.11464	0.0751496	1.7081	0.295667	0.0106885	0.180438	0.175942	1.70515	0.0751496	0.70809	0.704333	0.069074	0.171483	0.295237
Qtau	detailed	0.131983	0.0954251	1.86997	0.301833	0.00844599	0.242112	0.196014	1.83519	0.0954251	0.86996	0.698167	0.143883	0.199021	0.321732
SoilTemp	baseline	2.00679	0.1358	1.09404	0.926968	0.226711	3.13184	2.73333	0.410661	0.1358	0.0940435	0.0730321	2.08006	1.05776	0.112717
SoilTemp	detailed	2.14179	-0.424247	1.06959	0.922465	0.431827	2.17447	2.77915	0.413162	0.424247	0.0695947	0.0775347	1.744	1.02047	0.120218

• 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