US-Baltimore: CLMU5VEG

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	5.86061	-3.70716	0.975421	0.967103	0.102012	7.13483	9.30536	0.254522	3.70716	0.0245785	0.0328973	0.881796	3.64893	0.06095
SWup	detailed	5.86061	-3.70716	0.975421	0.967103	0.102012	7.13483	9.30536	0.254522	3.70716	0.0245785	0.0328973	0.881796	3.64893	0.06095
LWup	baseline	9.94854	3.49383	1.11132	0.974832	2.26342	27.3995	14.8627	0.261403	3.49383	0.111319	0.0251679	7.24292	0.5077	0.0743321
LWup	detailed	9.94854	3.49383	1.11132	0.974832	2.26342	27.3995	14.8627	0.261403	3.49383	0.111319	0.0251679	7.24292	0.5077	0.0743321
Qle	baseline	27.0952	-12.1262	0.671935	0.811823	16.0111	63.3132	45.0947	0.600427	12.1262	0.328066	0.188177	0.00822896	0.155784	0.317364
Qle	detailed	27.0952	-12.1262	0.671935	0.811823	16.0111	63.3132	45.0947	0.600427	12.1262	0.328066	0.188177	0.00822896	0.155784	0.317364
Qh	baseline	36.2098	15.4235	1.15134	0.864355	8.02697	52.2792	53.6114	0.579009	15.4235	0.151339	0.135645	0.0307907	0.201145	0.108738
Qh	detailed	36.2098	15.4235	1.15134	0.864355	8.02697	52.2792	53.6114	0.579009	15.4235	0.151339	0.135645	0.0307907	0.201145	0.108738
SoilTemp	baseline	2.06641	-0.875334	1.03803	0.966174	1.15012	0.706665	2.6524	0.267717	0.875334	0.0380303	0.0338264	2.5413	0.0793911	0.146193
SoilTemp	detailed	2.06641	-0.875334	1.03803	0.966174	1.15012	0.706665	2.6524	0.267717	0.875334	0.0380303	0.0338264	2.5413	0.0793911	0.146193
Qtau	baseline	0.11517	-0.0695965	0.539733	0.883782	0.0233915	0.36167	0.189291	0.580774	0.0695965	0.460267	0.116218	0.0394491	0.170853	0.268727
Qtau	detailed	0.11517	-0.0695965	0.539733	0.883782	0.0233915	0.36167	0.189291	0.580774	0.0695965	0.460267	0.116218	0.0394491	0.170853	0.268727

• 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