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LS-APC v1.0: a tuning-free method for the linear inverse problem and its application to source-term determination

SYSNO ASEP	0466029
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Článek ve WOS
Title	LS-APC v1.0: a tuning-free method for the linear inverse problem and its application to source-term determination
Author(s)	Tichý, Ondřej (UTIA-B)_{RID, ORCID} Šmídl, Václav (UTIA-B)_{RID, ORCID} Hofman, Radek (UTIA-B)_RID Stohl, A. (NO)
Number of authors	4
Source Title	Geoscientific Model Development. - : Copernicus GmbH - ISSN 1991-959X Roč. 9, č. 11 (2016), s. 4297-4311
Number of pages	15 s.
Publication form	Print - P
Language	eng - English
Country	DE - Germany
Keywords	Linear inverse problem ; Bayesian regularization ; Source-term determination ; Variational Bayes method
Subject RIV	BB - Applied Statistics, Operational Research
R&D Projects	7F14287 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
Institutional support	UTIA-B - RVO:67985556
UT WOS	000388722900003
EID SCOPUS	84999098798
DOI	10.5194/gmd-9-4297-2016
Annotation	Estimation of pollutant releases into the atmosphere is an important problem in the environmental sciences. It is typically formalized as an inverse problem using a linear model that can explain observable quantities (e.g., concentrations or deposition values) as a product of the source-receptor sensitivity (SRS) matrix obtained from an atmospheric transport model multiplied by the unknown source-term vector. Since this problem is typically ill-posed, current state-of-the-art methods are based on regularization of the problem and solution of a formulated optimization problem. This procedure depends on manual settings of uncertainties that are often very poorly quantified, effectively making them tuning parameters.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2017

Number of the records: 1