KR-Ochang: 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	10.6848	7.05554	1.05577	0.947518	1.55954	17.3509	17.7178	0.337534	7.05554	0.0557736	0.0524819	0.560724	1.22585	0.128643
SWup	detailed	9.19635	4.90706	1.01813	0.947705	1.59117	11.7785	16.484	0.326824	4.90706	0.018128	0.0522946	0.561571	1.22637	0.118376
LWup	baseline	13.8098	12.8135	1.1049	0.985517	7.16815	30.3801	18.3649	0.207384	12.8135	0.104896	0.014483	3.15374	0.207451	0.0828521
LWup	detailed	13.6603	12.6986	1.10904	0.985678	6.58203	30.9186	18.3564	0.208947	12.6986	0.109041	0.0143224	3.25542	0.226	0.0820443
Qle	baseline	26.8873	9.93973	1.13218	0.727675	3.45723	30.3263	45.1657	0.796313	9.93973	0.13218	0.272325	0.418738	0.944113	0.234822
Qle	detailed	26.4843	9.38441	1.11496	0.729152	3.4493	26.5856	44.4679	0.785613	9.38441	0.114962	0.270848	0.417524	0.939439	0.231501
Qh	baseline	22.6282	-3.00896	0.683421	0.850897	16.2023	53.1076	37.1232	0.551382	3.00896	0.316578	0.149103	0.0678361	0.311153	0.402251
Qh	detailed	22.1316	-1.33296	0.727538	0.854731	15.5993	44.6779	35.888	0.534427	1.33296	0.272461	0.145269	0.0556873	0.254188	0.379532

• 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