AU-SurreyHills: 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	4.22021	3.09134	1.07629	0.99532	0.490301	9.8603	5.77969	0.126074	3.09134	0.0762952	0.00467982	0.0546051	1.02593	0.094078
SWup	detailed	3.1651	1.49607	1.03844	0.99532	0.520031	5.12843	4.36336	0.105818	1.49607	0.0384448	0.00467982	0.0546051	1.02593	0.0908055
LWup	baseline	12.7038	12.458	1.04676	0.980324	8.06613	16.632	14.2529	0.208279	12.458	0.0467631	0.0196764	0.0517072	0.0775976	0.218806
LWup	detailed	14.3423	13.5592	1.16183	0.970177	6.36978	28.2482	17.0112	0.309009	13.5592	0.161827	0.029823	0.0464618	0.140079	0.206309
Qle	baseline	17.3225	4.28274	1.09799	0.649095	4.34813	15.0495	30.4668	0.883281	4.28274	0.097995	0.350905	0.0516516	0.512996	0.109465
Qle	detailed	16.6225	2.5692	1.03448	0.648393	3.6135	8.4597	29.264	0.85361	2.5692	0.0344814	0.351607	0.046587	0.50274	0.100364
Qh	baseline	30.2994	-25.9548	0.643573	0.848627	24.4399	88.7886	49.9807	0.567344	25.9548	0.356428	0.151373	0.348933	0.262534	0.155644
Qh	detailed	26.1154	-22.5856	0.785475	0.900749	28.3185	54.2051	40.6781	0.449377	22.5856	0.214525	0.0992513	0.368942	0.475762	0.176978
Qtau	baseline	0.131827	-0.0225719	1.01375	0.846764	0.0051717	0.0284649	0.204607	0.557562	0.0225719	0.0137494	0.153236	0.244457	0.621632	0.0733295
Qtau	detailed	0.131533	-0.0105668	1.04074	0.852517	0.00670178	0.000236527	0.202902	0.555557	0.0105668	0.0407427	0.147483	0.20209	0.528122	0.075071

• 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