PL-Lipowa: JULES_1T

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	21.6891	20.7214	2.11796	0.950927	0.658929	71.0756	32.1707	1.20736	20.7214	1.11796	0.0490726	0.148214	0.624503	0.266481
SWup	detailed	7.31456	4.40768	1.39331	0.935347	0.907639	20.8968	12.5911	0.578667	4.40768	0.393308	0.0646526	0.794783	7.20468	0.158971
LWup	baseline	18.262	-17.4846	1.03909	0.987723	18.9007	10.4734	20.0369	0.164446	17.4846	0.0390897	0.0122773	0.174951	0.45077	0.142243
LWup	detailed	18.4148	-17.4081	1.05414	0.988491	19.4262	7.47268	19.9836	0.164907	17.4081	0.0541367	0.0115087	0.294882	0.773363	0.141987
Qle	baseline	15.851	-3.76091	0.705735	0.637044	12.2742	14.8705	25.4472	0.773882	3.76091	0.294265	0.362956	0.242608	0.36985	0.261316
Qle	detailed	16.2003	-4.61009	0.687055	0.626275	12.2406	17.5704	25.8453	0.781968	4.61009	0.312946	0.373725	0.268814	0.284641	0.286535
Qh	baseline	30.9249	14.2108	0.818165	0.805817	20.6725	17.8199	42.1991	0.592294	14.2108	0.181836	0.194183	0.163358	0.347114	0.313556
Qh	detailed	35.4855	24.8334	1.03197	0.812886	19.7299	27.0902	48.573	0.622265	24.8334	0.0319668	0.187114	0.154317	0.375839	0.311407

• 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