AU-Preston: 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	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	11.1217	8.97119	1.07377	0.967585	5.59723	16.8833	14.5965	0.273963	8.97119	0.0737685	0.0324154	0.01257	0.0474496	0.105051
LWup	detailed	13.39	11.7629	1.12447	0.960061	6.00416	24.7762	18.0108	0.324521	11.7629	0.124469	0.0399392	0.0180561	0.0813146	0.114504
Qle	baseline	19.48	-0.552764	0.846527	0.743958	10.1896	2.3809	33.0102	0.676052	0.552764	0.153474	0.256042	0.116994	0.681686	0.241064
Qle	detailed	19.9517	3.13682	0.926554	0.747704	10.3815	10.4252	33.7202	0.687696	3.13682	0.0734467	0.252296	0.117752	0.686769	0.21567
Qh	baseline	27.7079	-7.98217	0.914626	0.875696	11.0309	35.9619	45.1685	0.48443	7.98217	0.0853738	0.124304	0.0660406	0.344107	0.104972
Qh	detailed	29.3847	-10.3448	0.837945	0.859373	8.43606	56.7261	48.095	0.511799	10.3448	0.162054	0.140627	0.0563123	0.382441	0.117677
Qtau	baseline	0.176986	0.143876	1.28194	0.856017	0.00901449	0.290476	0.252354	0.669808	0.143876	0.281936	0.143983	0.194242	0.329715	0.18857
Qtau	detailed	0.125461	0.0651191	1.0337	0.854338	0.00819829	0.0591221	0.182209	0.549796	0.0651191	0.0336985	0.145662	0.187266	0.314685	0.12835

• 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