PL-Narutowicza: 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	24.3326	23.645	2.09918	0.947853	0.64937	73.3369	34.9981	1.19463	23.645	1.09918	0.0521475	0.2723	0.295296	0.266421
SWup	detailed	10.358	8.31647	1.49269	0.939275	0.13197	29.2516	16.3396	0.65118	8.31647	0.492692	0.0607255	0.788185	6.13313	0.147614
LWup	baseline	11.9199	-1.54818	1.05273	0.970673	4.50403	4.63944	14.8559	0.254022	1.54818	0.0527288	0.0293272	0.0509406	0.244236	0.0568356
LWup	detailed	11.8226	-0.863989	1.05061	0.970845	3.21503	6.38395	14.7195	0.252633	0.863989	0.0506147	0.0291551	0.186358	0.483226	0.0545941
Qle	baseline	23.039	-8.35553	0.817169	0.650267	14.291	13.2654	34.5268	0.777823	8.35553	0.182834	0.349733	0.61307	0.143294	0.297125
Qle	detailed	23.2975	-9.54077	0.782232	0.642888	14.4679	17.7876	34.862	0.778532	9.54077	0.21777	0.357112	0.616903	0.19115	0.318653
Qh	baseline	32.5383	-6.31403	0.666294	0.775935	16.1393	62.8085	47.1562	0.64027	6.31403	0.333708	0.224065	0.0109437	0.251692	0.217452
Qh	detailed	31.4568	2.98923	0.864286	0.8005	10.7042	20.8251	44.0921	0.602717	2.98923	0.135716	0.1995	0.00337787	0.0966636	0.150139

• 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