AU-Preston: UCLEM

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	3.97221	2.04085	1.03671	0.993063	0.5554	2.9086	6.18991	0.125425	2.04085	0.0367126	0.00693717	0.111937	0.279918	0.0655698
SWup	detailed	3.63856	0.100113	1.00197	0.993891	0.5837	1.6097	5.15707	0.110665	0.100113	0.00196773	0.00610946	0.0999239	0.247938	0.0696486
LWup	baseline	20.028	19.9416	1.2527	0.979235	6.52579	44.4791	24.5438	0.340413	19.9416	0.252696	0.0207654	0.0666396	0.369997	0.161783
LWup	detailed	16.1004	15.912	1.2114	0.983529	4.70819	36.6921	20.0661	0.290852	15.912	0.211396	0.0164712	0.0535386	0.316522	0.135576
Qle	baseline	21.7209	-7.98427	0.788683	0.707689	9.6161	15.0981	35.6484	0.711151	7.98427	0.211317	0.292311	0.285039	0.0489027	0.268786
Qle	detailed	21.3106	-5.83593	0.830508	0.715192	9.6999	7.3286	35.0959	0.708377	5.83593	0.169492	0.284808	0.156188	0.271109	0.276172
Qh	baseline	22.0318	5.04505	0.888345	0.928675	17.8931	21.1801	34.5544	0.373082	5.04505	0.111655	0.0713254	0.0410538	0.0690039	0.173554
Qh	detailed	23.3729	9.22	0.94571	0.928104	18.3302	2.1812	35.3751	0.372736	9.22	0.0542903	0.0718957	0.0740749	0.13805	0.204564
Qtau	baseline	0.15379	0.120622	1.13045	0.865038	0.0164	0.1695	0.213202	0.567586	0.120622	0.130451	0.134962	0.221478	0.374921	0.205384
Qtau	detailed	0.112503	0.0491973	0.950233	0.867429	0.0044	0.00849999	0.163793	0.504404	0.0491973	0.0497671	0.132571	0.223865	0.387945	0.141286

• 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

Albedo

Datasheet

Distributions

closure_baseline

closure_detailed

subset_Qh

subset_Qle

subset_SWup

out of range: baseline

out of range: detailed

Link to variable definitions