KR-Jungnang: UT&C

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	16.7853	16.7018	1.15938	0.973604	7.70755	24.2941	19.2939	0.294291	16.7018	0.159375	0.0263962	0.348754	0.265856	0.183408
SWup	detailed	7.27103	-0.868277	0.842712	0.964839	4.74191	12.1454	9.55246	0.289829	0.868277	0.15729	0.0351611	0.372903	0.328477	0.114254
LWup	baseline	12.541	10.1591	1.09827	0.983955	8.36239	34.6481	17.5907	0.211898	10.1591	0.0982738	0.0160446	1.37679	0.641431	0.0690791
LWup	detailed	19.1769	18.0029	1.10727	0.974085	16.7638	45.922	25.3088	0.262481	18.0029	0.10727	0.0259147	1.62001	0.770169	0.107345
Qle	baseline	19.5378	-14.6943	0.436161	0.292926	7.68452	53.1455	31.2039	0.966804	14.6943	0.56384	0.707074	2.79543	7.58803	0.589006
Qle	detailed	19.9474	-15.3846	0.417721	0.289686	7.33846	62.8393	31.5061	0.965648	15.3846	0.58228	0.710314	3.05802	8.06549	0.610383
Qh	baseline	33.238	-1.92729	1.19897	0.84554	4.4039	45.193	49.1108	0.640292	1.92729	0.198966	0.15446	0.190955	0.0977341	0.272745
Qh	detailed	83.6382	80.2995	1.28802	0.835063	86.749	143.04	97.1136	0.712632	80.2995	0.288021	0.164937	0.218725	0.171975	0.644299

• 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