US-Baltimore: 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	19.1121	17.9631	1.53389	0.980642	0.410165	53.3627	26.6454	0.586875	17.9631	0.533888	0.0193584	0.370634	0.45859	0.183231
SWup	detailed	13.7225	11.9764	1.39777	0.977834	0.19317	38.0799	19.7745	0.469239	11.9764	0.397768	0.022166	0.522998	1.0213	0.141788
LWup	baseline	6.9751	0.364677	1.1059	0.990407	5.72596	17.3728	9.95926	0.18009	0.364677	0.105897	0.00959325	3.75915	0.22878	0.0662664
LWup	detailed	6.73078	0.610516	1.10346	0.99074	5.19468	18.0004	9.77115	0.176462	0.610516	0.103458	0.00925959	4.06835	0.247501	0.0671788
Qle	baseline	24.9307	1.51787	0.931661	0.826349	14.7889	6.80456	41.4717	0.572921	1.51787	0.0683395	0.173651	0.0509178	0.293962	0.230577
Qle	detailed	25.0244	1.52655	0.924144	0.825478	14.9011	8.7218	41.4773	0.572993	1.52655	0.0758566	0.174522	0.0549204	0.30012	0.233219
Qh	baseline	33.8475	-8.09223	0.727764	0.813535	12.0743	67.634	52.7503	0.587808	8.09223	0.272237	0.186465	0.13557	1.12053	0.192831
Qh	detailed	33.3098	-5.30764	0.797669	0.819827	6.91546	51.5658	51.0928	0.57304	5.30764	0.202332	0.180173	0.0659048	0.801541	0.153864
SoilTemp	baseline	1.96113	-1.18911	0.885306	0.961789	0.260899	3.60552	2.91249	0.284275	1.18911	0.114697	0.0382114	1.30534	0.139064	0.155555
SoilTemp	detailed	1.97176	-1.17644	0.882445	0.961564	0.263549	3.64078	2.91997	0.285752	1.17644	0.117558	0.0384359	1.33376	0.134537	0.161669
Qtau	baseline	0.0961522	0.00182504	0.886444	0.882832	0.0156901	0.0721073	0.14238	0.469703	0.00182504	0.113557	0.117168	0.0814804	0.164511	0.152964
Qtau	detailed	0.118633	0.0638073	1.06081	0.878685	0.0257805	0.0972433	0.167503	0.510963	0.0638073	0.0608094	0.121315	0.0723544	0.15513	0.191437

• 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