KR-Jungnang: 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	7.63409	6.11078	0.975935	0.968013	6.22683	2.85374	10.258	0.251024	6.11078	0.0240666	0.0319867	0.0967412	0.206672	0.12552
SWup	detailed	7.48825	-2.54207	0.821803	0.951458	4.76517	15.336	11.2528	0.333974	2.54207	0.178198	0.0485424	0.226673	1.10416	0.157
LWup	baseline	6.36379	0.928138	1.08681	0.996693	5.9346	12.5924	8.27562	0.121341	0.928138	0.0868075	0.00330682	0.283609	0.053481	0.0608617
LWup	detailed	7.00638	-4.59606	1.06899	0.996597	11.1111	3.35477	8.74048	0.1097	4.59606	0.0689862	0.00340268	0.083082	0.0441654	0.0652719
Qle	baseline	18.242	-13.79	0.358676	0.417243	7.47488	56.8641	29.3689	0.91068	13.79	0.641325	0.582757	1.81749	3.11251	0.46943
Qle	detailed	18.4107	-13.8653	0.3774	0.398119	7.4046	57.4803	29.5774	0.917568	13.8653	0.6226	0.601881	1.92607	3.26323	0.474375
Qh	baseline	39.2023	-3.1401	1.00602	0.737958	0.058502	11.9236	55.7418	0.726138	3.1401	0.0060194	0.262042	0.327664	1.37382	0.13473
Qh	detailed	40.0043	9.68087	1.35387	0.825557	1.53786	83.8959	60.0323	0.773023	9.68087	0.353862	0.174443	0.225294	0.356521	0.202142

• 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