AU-Preston: CLMU5

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	2.98882	0.900153	1.00594	0.996055	0.478753	0.303096	4.25611	0.0892825	0.900153	0.00593617	0.00394465	0.0862786	0.178836	0.0687321
SWup	detailed	2.73408	-0.179863	1.01329	0.996805	0.545667	2.2646	3.80392	0.0815523	0.179863	0.0132885	0.00319465	0.0268353	0.0518829	0.0630411
LWup	baseline	12.1652	9.98145	1.19342	0.971495	5.37406	33.9359	16.9083	0.324729	9.98145	0.193418	0.0285051	0.167589	0.18983	0.0987966
LWup	detailed	13.5749	11.7145	1.24066	0.96838	4.30536	40.8907	19.4453	0.369289	11.7145	0.240653	0.0316202	0.151606	0.131948	0.0943864
Qle	baseline	22.9531	-3.69259	0.966173	0.70879	9.61141	12.1374	36.8456	0.750909	3.69259	0.0338282	0.29121	0.209044	0.219815	0.276042
Qle	detailed	22.8881	-4.16534	0.974495	0.709796	9.33554	14.1312	36.9731	0.752499	4.16534	0.0255063	0.290204	0.198133	0.255786	0.306132
Qh	baseline	21.924	4.73536	1.09048	0.947164	6.83601	21.2209	32.587	0.351314	4.73536	0.0904847	0.0528362	0.104968	0.28418	0.123674
Qh	detailed	19.3784	3.99813	1.00439	0.949745	3.81754	5.0846	29.4346	0.31776	3.99813	0.00439298	0.0502553	0.0688289	0.240087	0.121531
Qtau	baseline	0.147952	0.112921	1.14336	0.865883	0.011898	0.174169	0.210005	0.572048	0.112921	0.143358	0.134117	0.223907	0.382273	0.17969
Qtau	detailed	0.14122	-0.126714	0.419023	0.853286	0.00145802	0.514009	0.245303	0.678592	0.126714	0.580977	0.146714	0.231922	0.424333	0.187804

• 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