KR-Jungnang: SNUUCM

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	10.4711	-8.72209	0.720327	0.982254	3.52631	23.9553	13.707	0.322154	8.72209	0.279674	0.0177462	0.00165969	0.0445669	0.163154
SWup	detailed	12.1718	11.9298	1.11676	0.97774	6.78557	19.7695	14.5109	0.251694	11.9298	0.116754	0.02226	0.0180962	0.0619929	0.148298
LWup	baseline	20.0883	-2.92496	1.28344	0.977549	22.973	47.2427	25.342	0.371438	2.92496	0.283436	0.0224513	1.54753	0.868784	0.133319
LWup	detailed	20.377	-12.7009	1.19017	0.983504	24.3705	22.7752	22.5334	0.274645	12.7009	0.190164	0.0164964	1.17534	0.549012	0.143748
Qle	baseline	20.3336	-11.5773	0.965885	0.339654	6.66702	50.6449	34.1925	1.12996	11.5773	0.0341167	0.660346	2.56498	4.35078	0.523405
Qle	detailed	26.8607	13.7492	1.8021	0.522838	7.2066	74.477	45.8785	1.53726	13.7492	0.802101	0.477162	0.101788	0.499961	0.459616
Qh	baseline	43.9338	-11.4441	1.24509	0.762065	1.95572	48.5036	62.9612	0.807817	11.4441	0.245086	0.237935	0.346008	0.95848	0.357273
Qh	detailed	38.879	-29.3614	0.95022	0.801263	3.79852	23.4876	55.6343	0.616576	29.3614	0.0497824	0.198737	0.404598	1.45603	0.377227

• 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

• SNUUCM TairSurf max value of 336.5936 is greater than expected 333.0 [K]

out of range: detailed

Link to variable definitions