FI-Kumpula: JULES_MORUS

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	5.91951	2.67571	1.11568	0.980925	0.0949379	9.11105	11.2152	0.236528	2.67571	0.115665	0.0190755	0.0924129	0.160669	0.103105
SWup	detailed	5.62272	1.68702	1.07084	0.980303	0.0581733	5.25594	10.1456	0.217262	1.68702	0.0708261	0.0196971	0.0101192	0.0298746	0.10045
LWup	baseline	4.6894	-3.0032	1.048	0.993794	10.5926	0.245985	7.18206	0.123746	3.0032	0.0480016	0.00620634	1.01192	0.102536	0.0556926
LWup	detailed	4.3021	-2.51605	1.03822	0.994451	8.9545	0.173785	6.51287	0.113944	2.51605	0.0382139	0.00554924	0.873514	0.0772755	0.0513984
Qle	baseline	13.7784	-2.7535	0.800521	0.775671	5.14197	12.7886	24.0602	0.631627	2.7535	0.199478	0.224329	0.142751	0.377476	0.133875
Qle	detailed	13.9921	-3.2274	0.77109	0.767231	5.0766	15.594	24.4849	0.641382	3.2274	0.228909	0.232769	0.163922	0.402068	0.133792
Qh	baseline	29.385	-16.6697	0.706659	0.72008	13.1612	67.0206	44.2684	0.694021	16.6697	0.293341	0.27992	0.178501	0.114194	0.170304
Qh	detailed	28.3214	-16.2178	0.772928	0.754847	15.1422	54.5887	42.0272	0.65615	16.2178	0.227072	0.245153	0.158048	0.0250261	0.157539

• 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