AU-Preston: Lodz-SUEB

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	G11	2.71149	-0.256311	1.00811	0.996803	0.53	1.40001	3.76579	0.0806895	0.256311	0.00811484	0.00319653	0.0162291	0.0325834	0.0589239
SWup	baseline	2.71602	-0.245991	1.00846	0.996798	0.54	1.4706	3.77269	0.0808009	0.245991	0.00846081	0.00320151	0.0135132	0.025299	0.0588356
SWup	detailed	2.71602	-0.245991	1.00846	0.996798	0.54	1.4706	3.77269	0.0808009	0.245991	0.00846081	0.00320151	0.0135132	0.025299	0.0588356
LWup	G11	11.5638	-0.866014	1.19357	0.960781	7.07999	22.21	15.2355	0.362062	0.866014	0.193567	0.0392188	0.0936667	0.00901051	0.114285
LWup	baseline	15.0192	11.6295	1.36283	0.97128	4.47221	50.3583	22.4975	0.458182	11.6295	0.362833	0.0287204	0.0896214	0.0559531	0.104207
LWup	detailed	14.3915	10.749	1.34306	0.971912	4.75111	46.86	21.372	0.439472	10.749	0.343058	0.0280878	0.0850611	0.0676213	0.103488
Qle	G11	27.1601	7.71114	1.32406	0.723	10.25	72.13	45.408	0.915719	7.71114	0.324058	0.277	0.0232119	0.619175	0.398803
Qle	baseline	22.0704	-6.6369	0.851166	0.700058	10.5083	6.4662	36.2711	0.729899	6.6369	0.148834	0.299942	0.104172	0.271068	0.419996
Qle	detailed	22.0743	-6.77098	0.848244	0.699274	10.5067	7.3052	36.3108	0.730211	6.77098	0.151756	0.300726	0.115252	0.243144	0.420708
Qh	G11	20.0362	-10.5714	0.850617	0.938568	2.64	48.01	34.3102	0.356125	10.5714	0.149383	0.0614319	0.009145	0.00632989	0.107403
Qh	baseline	18.297	4.22805	0.919938	0.949441	13.7301	10.6222	29.2002	0.31533	4.22805	0.0800619	0.0505593	0.0227353	0.139103	0.101443
Qh	detailed	18.2819	5.14766	0.950443	0.948478	13.0838	3.2461	29.4846	0.316849	5.14766	0.0495573	0.0515219	0.00420861	0.0965099	0.0916444
Qtau	baseline	0.0989292	0.00984099	0.848254	0.870982	0.0003322	0.107281	0.152656	0.491841	0.00984099	0.151746	0.129018	0.240857	0.432783	0.106651
Qtau	detailed	0.0974041	-0.0210079	0.75862	0.869508	0.00134371	0.192756	0.158191	0.506214	0.0210079	0.24138	0.130492	0.243295	0.442225	0.0970048

• 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