KR-Jungnang: JULES_2T

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	22.0854	22.0154	1.31732	0.982638	8.44441	42.9608	25.3463	0.382667	22.0154	0.317317	0.0173619	0.0592641	0.0073694	0.185331
SWup	detailed	5.329	0.0591068	0.895236	0.982636	4.88891	4.26943	6.73212	0.205099	0.0591068	0.104765	0.0173641	0.0595297	0.00786576	0.115135
LWup	baseline	17.6724	14.0637	1.26311	0.980421	5.00452	59.7985	27.2566	0.344511	14.0637	0.26311	0.0195787	1.39137	0.741655	0.0816118
LWup	detailed	25.3414	21.6758	1.38368	0.963718	5.87091	87.7855	40.089	0.497608	21.6758	0.383675	0.0362822	1.90416	1.06694	0.0962258
Qle	baseline	17.9098	-13.592	0.338773	0.449125	7.59579	56.1817	29.0139	0.900258	13.592	0.661228	0.550875	1.6832	2.69981	0.486704
Qle	detailed	17.7848	-13.3555	0.343475	0.445596	7.68644	56.1472	28.9237	0.90104	13.3555	0.656526	0.554404	1.72658	2.82168	0.443055
Qh	baseline	39.8792	-23.4793	0.935987	0.73313	1.52861	22.8039	59.2445	0.709698	23.4793	0.0640159	0.26687	0.356397	1.33639	0.268992
Qh	detailed	38.795	-21.0215	0.982449	0.75133	1.12004	12.4106	57.5663	0.699228	21.0215	0.0175534	0.24867	0.345543	1.27577	0.278443

• 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