PL-Narutowicza: 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	24.1922	23.5121	2.0807	0.948283	0.64937	72.9813	34.6132	1.17607	23.5121	1.0807	0.051717	0.208501	0.228042	0.267261
SWup	detailed	10.4437	8.52359	1.50753	0.941782	0.13197	29.6198	16.5742	0.658115	8.52359	0.507528	0.0582176	0.821742	6.23563	0.148721
LWup	baseline	11.1917	-1.97109	1.06348	0.975862	5.10452	7.3964	13.8276	0.235306	1.97109	0.0634789	0.0241375	0.176534	0.531324	0.0619427
LWup	detailed	11.5151	-1.4788	1.07402	0.975071	4.61102	11.281	14.2085	0.242955	1.4788	0.0740236	0.0249286	0.417409	1.10946	0.0674373
Qle	baseline	23.0567	-8.43256	0.818087	0.651401	14.0753	13.1528	34.5039	0.776827	8.43256	0.181915	0.348599	0.604572	0.115607	0.299886
Qle	detailed	23.3106	-9.65939	0.78195	0.644874	13.818	18.1088	34.8099	0.776484	9.65939	0.218052	0.355126	0.596887	0.1287	0.315139
Qh	baseline	28.1646	-5.49255	0.715012	0.837185	15.3661	52.524	41.2692	0.560399	5.49255	0.28499	0.162815	0.0523787	0.253857	0.19876
Qh	detailed	24.2605	4.00567	0.985843	0.884278	7.59294	4.28305	35.1083	0.477879	4.00567	0.0141593	0.115722	0.0376726	0.0399077	0.0952966

• 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