AU-Preston: TEB-SPARTCS

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	7.57379	-7.31332	0.870241	0.9936	0.408664	18.5423	10.6872	0.167261	7.31332	0.129759	0.00639994	0.0161093	0.0429314	0.0686335
SWup	detailed	9.54507	-9.31371	0.819692	0.993356	0.358102	25.8203	13.4523	0.208335	9.31371	0.180308	0.00664437	0.0213905	0.0197621	0.062262
LWup	baseline	17.4038	10.7536	1.44982	0.967755	8.40078	57.3885	25.2646	0.543906	10.7536	0.449817	0.0322448	0.129096	0.128758	0.117461
LWup	detailed	12.1758	7.80049	1.26361	0.976831	3.30188	35.7035	16.9429	0.357828	7.80049	0.263606	0.0231688	0.11291	0.153836	0.0848556
Qle	baseline	25.0674	-4.45461	0.787206	0.526433	12.1385	25.164	43.6743	0.889309	4.45461	0.212794	0.473567	0.597124	0.897711	0.245554
Qle	detailed	21.8831	4.63181	1.02656	0.720679	4.2999	14.7402	37.308	0.75775	4.63181	0.0265607	0.279321	0.0244441	0.478223	0.151804
Qh	baseline	32.1726	24.8747	1.32397	0.944269	11.1654	108.505	52.3338	0.502522	24.8747	0.32397	0.0557306	0.0562685	0.0303414	0.195753
Qh	detailed	21.5153	10.5208	1.20371	0.952054	1.05076	60.4922	37.7906	0.396137	10.5208	0.203711	0.047946	0.06752	0.0887159	0.103237
Qtau	baseline	0.299162	0.283026	1.66063	0.86862	0.0352393	0.676818	0.404761	0.934226	0.283026	0.660629	0.13138	0.181944	0.302681	0.295075
Qtau	detailed	0.49875	0.488778	2.41841	0.872892	0.00889461	1.3494	0.700636	1.62071	0.488778	1.41841	0.127108	0.221416	0.373962	0.369505

• 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

Albedo

Datasheet

Distributions

closure_baseline

closure_detailed

subset_Qh

subset_Qle

subset_SWup

out of range: baseline

out of range: detailed

Link to variable definitions