KR-Ochang: TEB-CNRM

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	16.2043	-13.3009	0.733595	0.884516	2.19617	37.8355	27.0976	0.490314	13.3009	0.266406	0.115484	0.19946	0.438567	0.14117
SWup	detailed	10.4793	-6.6966	0.808083	0.912563	2.11552	23.4342	21.3976	0.422071	6.6966	0.191919	0.0874366	0.474054	0.987475	0.103576
LWup	baseline	17.7876	17.4752	1.21949	0.985037	5.32049	58.3173	25.4193	0.290982	17.4752	0.219487	0.0149634	5.65337	0.458609	0.0827465
LWup	detailed	9.35373	8.92365	1.09809	0.993213	4.37177	28.0361	13.3543	0.156609	8.92365	0.0980875	0.00678682	3.27821	0.20064	0.0660491
Qle	baseline	24.4242	-9.36161	0.805504	0.660676	3.29996	24.7146	43.3253	0.764514	9.36161	0.194496	0.339324	0.039099	0.141157	0.222968
Qle	detailed	23.1082	-3.8125	0.945862	0.721539	3.13433	4.15987	40.4507	0.727807	3.8125	0.0541393	0.278461	0.0301095	0.259013	0.198021
Qh	baseline	38.464	35.8895	1.24277	0.902386	25.9315	72.9875	51.4393	0.549145	35.8895	0.242769	0.0976142	0.015454	0.0637736	0.549591
Qh	detailed	29.9382	25.9335	1.21605	0.904117	17.3132	57.0121	43.964	0.52903	25.9335	0.216047	0.095883	0.0521602	0.170345	0.42456

• 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