KR-Ochang: 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	6.89233	-4.07162	0.846215	0.942973	1.61501	13.8583	17.1806	0.346646	4.07162	0.153785	0.0570267	0.571797	1.21037	0.0908319
SWup	detailed	6.74125	-2.90573	0.86383	0.943616	1.62113	11.2389	16.6518	0.340522	2.90573	0.136171	0.0563844	0.585536	1.22672	0.0929237
LWup	baseline	9.95367	8.65976	1.04833	0.991158	6.0152	14.6252	12.6096	0.144481	8.65976	0.048329	0.00884207	1.94464	0.117644	0.0684067
LWup	detailed	8.80987	7.43623	1.05221	0.992183	3.74026	13.7802	11.5095	0.138475	7.43623	0.0522067	0.00781669	1.88823	0.125851	0.0615327
Qle	baseline	27.1345	11.2264	1.14057	0.728304	3.47241	31.4694	45.6485	0.799712	11.2264	0.140573	0.271696	0.421268	0.940215	0.221959
Qle	detailed	26.5249	10.115	1.11788	0.730798	3.44879	27.0174	44.579	0.784706	10.115	0.117876	0.269202	0.417902	0.933545	0.21704
Qh	baseline	22.3542	5.58764	0.85171	0.872651	16.7918	16.3436	33.2735	0.488793	5.58764	0.148289	0.127349	0.0476282	0.165236	0.380182
Qh	detailed	21.8418	7.11403	0.913389	0.880006	15.7273	3.7347	32.7339	0.476134	7.11403	0.0866097	0.119994	0.0239168	0.0617013	0.373345

• 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