KR-Jungnang: Manabe_1T

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	21.4461	21.3676	1.30535	0.982618	8.34122	41.59	24.6151	0.372308	21.3676	0.305343	0.0173815	0.0591141	0.00816655	0.181935
SWup	detailed	5.4563	-0.577587	0.882978	0.982634	4.78572	5.64016	6.93728	0.210623	0.577587	0.117024	0.0173662	0.0595249	0.00785833	0.12094
LWup	baseline	18.3623	14.937	1.17783	0.971793	3.93316	46.3153	25.9528	0.313161	14.937	0.17783	0.028207	1.06848	0.510764	0.0737821
LWup	detailed	23.6859	21.5583	1.23873	0.96513	6.19168	63.1309	33.5158	0.378657	21.5583	0.238728	0.0348703	1.3157	0.663979	0.0931598
Qle	baseline	18.7511	-14.7937	0.322614	0.399646	7.51647	56.6725	30.0816	0.9199	14.7937	0.677386	0.600354	2.02163	3.79494	0.578459
Qle	detailed	18.6619	-14.6745	0.324095	0.405327	7.49704	56.0027	29.9704	0.917774	14.6745	0.675906	0.594673	1.92596	3.58739	0.544491
Qh	baseline	50.5892	-26.2948	0.837575	0.53136	1.13481	40.7205	73.8771	0.900791	26.2948	0.162427	0.46864	0.466707	2.11046	0.22129
Qh	detailed	50.7358	-23.8477	0.828117	0.517243	0.622409	40.1451	73.7494	0.910551	23.8477	0.171885	0.482757	0.466342	2.1916	0.201326

• 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