GR-HECKOR: 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	11.8172	-11.7698	0.944805	0.993175	2.89113	16.6312	14.0911	0.126264	11.7698	0.0551956	0.00682469	0.210954	0.0617629	0.101777
SWup	detailed	6.4221	-3.27392	1.0507	0.993175	2.72946	2.7981	8.62542	0.130045	3.27392	0.0506974	0.00682469	0.210954	0.0617629	0.101367
LWup	baseline	29.1019	28.937	1.45607	0.945955	9.57271	75.7616	39.1588	0.604471	28.937	0.456067	0.0540448	0.774356	0.627948	0.146751
LWup	detailed	25.0147	24.7752	1.37872	0.950928	9.17578	64.0385	33.8351	0.527959	24.7752	0.378717	0.0490717	0.734374	0.617679	0.137772
Qle	baseline	20.7467	-13.3732	0.465631	0.334763	4.76908	56.8912	36.2543	0.951346	13.3732	0.534369	0.665237	1.39402	3.59442	0.299554
Qle	detailed	20.6863	-13.1758	0.46335	0.324533	5.05341	57.0232	36.3358	0.956007	13.1758	0.53665	0.675467	1.49669	3.90549	0.299288
Qh	baseline	32.1658	-4.24273	0.968416	0.892603	2.16548	1.73416	48.5836	0.457174	4.24273	0.0315839	0.107397	0.0487449	0.15764	0.082274
Qh	detailed	32.4389	-4.5515	1.01526	0.896453	6.38216	8.45636	48.7818	0.458789	4.5515	0.0152615	0.103547	0.0298956	0.131995	0.0842051
Qtau	baseline	0.187251	-0.177016	0.550811	0.924064	0.0185466	0.546318	0.288975	0.53425	0.177016	0.44919	0.0759356	0.0395619	0.0769654	0.187856
Qtau	detailed	0.118491	-0.0703824	0.816064	0.928635	0.00979133	0.238126	0.180079	0.387698	0.0703824	0.183937	0.0713655	0.106765	0.259637	0.117565

• 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