KR-Ochang: CLMU5VEG

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	14.3927	-14.1567	0.644771	0.937255	1.75848	44.0537	26.0875	0.455082	14.1567	0.35523	0.062745	0.683218	1.28952	0.123378
SWup	detailed	7.95279	-2.28777	0.832479	0.936495	1.54225	16.4847	17.7604	0.365783	2.28777	0.167522	0.0635054	0.69776	1.29608	0.113831
LWup	baseline	13.3873	13.3173	1.08503	0.989055	14.16	33.7128	17.3792	0.176017	13.3173	0.0850314	0.010945	4.20114	0.263377	0.0900158
LWup	detailed	12.1509	11.9998	1.07079	0.990749	13.1635	28.7233	15.6171	0.157552	11.9998	0.0707894	0.00925073	3.54389	0.201625	0.0872558
Qle	baseline	20.2559	-7.24797	0.682531	0.757602	2.56712	48.8206	37.0694	0.657019	7.24797	0.317469	0.242398	0.379082	0.778944	0.193926
Qle	detailed	20.3177	-7.67433	0.672153	0.756592	3.13749	50.5419	37.2795	0.659317	7.67433	0.327847	0.243408	0.365173	0.746133	0.211778
Qh	baseline	28.0478	23.4715	1.21704	0.905197	14.1574	65.0184	42.4516	0.527126	23.4715	0.217037	0.0948027	0.0540556	0.246586	0.381856
Qh	detailed	24.3465	17.539	1.16365	0.902194	11.0938	50.911	38.1211	0.504385	17.539	0.163649	0.0978061	0.0502111	0.238956	0.315922

• 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