AU-Preston: Manabe_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	6.98542	6.51797	1.13351	0.996798	0.3912	19.7594	9.84549	0.158376	6.51797	0.13351	0.00320151	0.0135131	0.0252988	0.0812605
SWup	detailed	2.71601	-0.246001	1.00846	0.996798	0.54	1.47048	3.77269	0.0808008	0.246001	0.0084606	0.00320151	0.0135131	0.0252987	0.0588356
LWup	baseline	17.0297	16.8436	1.27686	0.976015	6.48304	45.8475	22.9643	0.371351	16.8436	0.276859	0.023985	0.117379	0.166827	0.128739
LWup	detailed	20.4304	19.2865	1.5025	0.963997	1.88443	72.5336	31.7689	0.600579	19.2865	0.5025	0.0360028	0.212661	0.375758	0.103831
Qle	baseline	25.9368	-4.73532	0.731223	0.525307	10.4901	25.3368	43.0319	0.875473	4.73532	0.268777	0.474693	0.357786	0.215699	0.172361
Qle	detailed	26.3225	-4.90098	0.73693	0.510397	10.49	24.8403	43.7205	0.889276	4.90098	0.26307	0.489603	0.327787	0.139469	0.188509
Qh	baseline	26.9258	-3.98092	0.940374	0.884739	7.80643	23.2427	43.1928	0.469395	3.98092	0.0596265	0.115261	0.0295599	0.223577	0.143922
Qh	detailed	21.2719	-2.37645	1.00092	0.928688	9.35226	6.97932	34.7009	0.377832	2.37645	0.000922183	0.0713123	0.0181302	0.021691	0.112103
Qtau	baseline	0.115711	0.049901	0.95786	0.864921	0.00937256	0.00224089	0.165789	0.510441	0.049901	0.0421398	0.135079	0.210174	0.35495	0.132174
Qtau	detailed	0.0978765	-0.0451746	0.704153	0.876554	0.0023504	0.255743	0.164669	0.511248	0.0451746	0.295847	0.123446	0.211704	0.377788	0.0851995

• 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