KR-Jungnang: JULES_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	22.0774	22.001	1.31758	0.982639	8.44441	42.9608	25.3374	0.382892	22.001	0.317579	0.017361	0.0595621	0.00785542	0.185491
SWup	detailed	5.32929	0.0590918	0.895238	0.982634	4.88891	4.26943	6.73231	0.205105	0.0590918	0.104764	0.0173656	0.0595241	0.00787015	0.115012
LWup	baseline	17.8816	14.1678	1.17452	0.971804	3.40414	44.8562	25.3934	0.310951	14.1678	0.17452	0.0281956	1.05678	0.504154	0.0714787
LWup	detailed	23.0791	20.7461	1.23484	0.965147	5.69699	61.8242	32.8491	0.375803	20.7461	0.234843	0.034853	1.30521	0.656666	0.0920355
Qle	baseline	17.9277	-13.6206	0.328558	0.448312	7.67201	56.6817	29.0677	0.901863	13.6206	0.671443	0.551688	1.78637	3.32344	0.499249
Qle	detailed	17.7912	-13.4063	0.32601	0.450895	7.76864	56.3713	28.953	0.901271	13.4063	0.673991	0.549105	1.75	3.28331	0.454775
Qh	baseline	50.3916	-26.7221	0.833207	0.536286	1.10233	41.8167	73.598	0.89474	26.7221	0.166795	0.463714	0.461731	2.07046	0.224249
Qh	detailed	50.4873	-24.3201	0.823226	0.52259	0.54162	41.666	73.4323	0.904037	24.3201	0.176776	0.47741	0.460531	2.1432	0.200574

• 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