AU-Preston: 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	12.8117	12.5544	1.24511	0.996798	0.258405	36.081	17.4739	0.260865	12.5544	0.245109	0.00320151	0.0134996	0.0252884	0.0905484
SWup	detailed	6.30745	5.79044	1.12006	0.996798	0.407205	17.7922	8.96595	0.146922	5.79044	0.12006	0.00320151	0.0134996	0.0252884	0.0804339
LWup	baseline	10.0538	8.50133	1.1105	0.979033	3.80959	19.886	13.2701	0.242442	8.50133	0.110499	0.020967	0.0214514	0.0433622	0.0889218
LWup	detailed	14.8671	10.3483	1.32241	0.964954	2.11035	44.8122	21.3172	0.443438	10.3483	0.322406	0.035046	0.111348	0.0943153	0.0862415
Qle	baseline	19.4976	-0.496273	0.853768	0.744043	10.026	1.67847	33.0595	0.677082	0.496273	0.146233	0.255957	0.119222	0.683979	0.235454
Qle	detailed	20.0775	2.84817	0.93961	0.745315	9.37139	10.9255	34.023	0.694446	2.84817	0.0603913	0.254685	0.132746	0.702204	0.200315
Qh	baseline	23.3112	-7.60844	0.94857	0.912959	11.9645	27.0653	38.3527	0.409603	7.60844	0.0514291	0.0870414	0.0426759	0.226372	0.0815718
Qh	detailed	19.9406	-8.92592	0.999696	0.944858	17.0348	15.2081	31.7527	0.332041	8.92592	0.000302918	0.0551422	0.00394995	0.0421483	0.10542
Qtau	baseline	0.170354	0.137915	1.29116	0.860674	0.00719806	0.288277	0.248217	0.666755	0.137915	0.291163	0.139326	0.196091	0.339792	0.177671
Qtau	detailed	0.111362	0.0493771	1.06004	0.865921	0.000780498	0.05802	0.173253	0.536527	0.0493771	0.0600374	0.134079	0.199891	0.35446	0.0917185

• 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