AU-SurreyHills: JULES_MORUS

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	5.963	-5.80834	0.835374	0.99639	0.554522	19.9267	9.13501	0.182023	5.80834	0.164625	0.0036096	0.0222463	0.151979	0.109121
SWup	detailed	2.4754	-0.87732	0.969172	0.995836	0.53763	3.34972	3.78241	0.0949854	0.87732	0.0308277	0.00416431	0.0185499	0.592934	0.0914977
LWup	baseline	11.9463	11.5528	0.935059	0.985571	10.4644	4.48486	12.9595	0.176639	11.5528	0.0649417	0.0144291	0.137032	0.224739	0.251713
LWup	detailed	10.2045	8.69927	0.968556	0.97274	3.64724	2.84177	11.6245	0.231936	8.69927	0.031445	0.02726	0.239084	0.358616	0.199125
Qle	baseline	16.7103	3.43494	1.0277	0.65362	4.57927	10.1862	29.0344	0.844225	3.43494	0.0276988	0.34638	0.0909167	0.552625	0.110607
Qle	detailed	16.5478	1.92565	1.01938	0.647657	3.88475	8.12915	29.0155	0.847771	1.92565	0.0193759	0.352343	0.051643	0.511238	0.118078
Qh	baseline	27.3118	-21.0482	0.766735	0.872217	25.5977	64.7253	43.1519	0.500363	21.0482	0.233266	0.127783	0.203102	0.137161	0.160633
Qh	detailed	23.1988	-16.6973	0.877917	0.910173	25.3217	30.8584	35.4575	0.415482	16.6973	0.122084	0.0898266	0.250651	0.361561	0.152711
Qtau	baseline	0.12989	-0.0668279	0.879236	0.841214	0.000111624	0.17067	0.208686	0.542038	0.0668279	0.120765	0.158786	0.251255	0.624946	0.101796
Qtau	detailed	0.15613	-0.141348	0.679498	0.845848	0.00856411	0.395241	0.248016	0.55876	0.141348	0.320503	0.154152	0.24522	0.611799	0.185996

• 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