AU-SurreyHills: 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	4.43198	-4.17249	0.886257	0.995585	0.619476	14.3059	6.96878	0.144097	4.17249	0.113743	0.00441545	0.0305711	0.119537	0.0982755
SWup	detailed	2.50679	-0.468349	0.988991	0.995412	0.554659	1.22288	3.74387	0.0958941	0.468349	0.0110087	0.00458775	0.0441777	0.891401	0.0881767
LWup	baseline	16.0888	15.897	1.11841	0.972875	13.2336	28.5568	18.3102	0.273301	15.897	0.118404	0.0271251	0.128584	0.23102	0.252912
LWup	detailed	15.6715	15.5365	1.11046	0.976466	12.5152	27.3502	17.6814	0.253906	15.5365	0.11046	0.0235336	0.0838441	0.125856	0.244314
Qle	baseline	19.6641	-7.07492	0.93588	0.535411	2.37002	11.5916	32.6957	0.934725	7.07492	0.0641201	0.464589	0.422146	0.224997	0.28173
Qle	detailed	19.583	-8.82994	0.88643	0.538869	2.46866	16.4464	32.3486	0.911273	8.82994	0.11357	0.461131	0.470883	0.279993	0.31187
Qh	baseline	20.052	-8.04263	0.845838	0.90972	13.7513	22.802	32.6348	0.420107	8.04263	0.154163	0.0902799	0.364913	0.604062	0.126866
Qh	detailed	19.7852	-9.65633	0.743503	0.914709	2.92241	40.7325	34.424	0.438884	9.65633	0.256498	0.0852909	0.304123	0.529366	0.1118
Qtau	baseline	0.128351	-0.0189391	0.915366	0.849066	0.00765719	0.105056	0.195114	0.532431	0.0189391	0.084635	0.150934	0.180486	0.495811	0.113455
Qtau	detailed	0.216213	-0.211211	0.388657	0.846148	0.00218853	0.689052	0.332018	0.702376	0.211211	0.611343	0.153852	0.215011	0.553156	0.289778

• 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