bibtype J - Journal Article
ARLID 0466029
utime 20240103213023.5
mtime 20161125235959.9
SCOPUS 84999098798
WOS 000388722900003
DOI 10.5194/gmd-9-4297-2016
title (primary) (eng) LS-APC v1.0: a tuning-free method for the linear inverse problem and its application to source-term determination
specification
page_count 15 s.
media_type P
serial
ARLID cav_un_epca*0362023
ISSN 1991-959X
title Geoscientific Model Development
volume_id 9
volume 11 (2016)
page_num 4297-4311
publisher
name Copernicus GmbH
keyword Linear inverse problem
keyword Bayesian regularization
keyword Source-term determination
keyword Variational Bayes method
author (primary)
ARLID cav_un_auth*0267768
full_dept (cz) Adaptivní systémy
full_dept (eng) Department of Adaptive Systems
department (cz) AS
department (eng) AS
full_dept Department of Adaptive Systems
name1 Tichý
name2 Ondřej
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101207
full_dept (cz) Adaptivní systémy
full_dept Department of Adaptive Systems
department (cz) AS
department AS
full_dept Department of Adaptive Systems
name1 Šmídl
name2 Václav
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0228606
full_dept (cz) Adaptivní systémy
full_dept Department of Adaptive Systems
department (cz) AS
department AS
full_dept Department of Adaptive Systems
name1 Hofman
name2 Radek
institution UTIA-B
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0279644
name1 Stohl
name2 A.
country NO
source
url http://library.utia.cas.cz/separaty/2016/AS/tichy-0466029.pdf
cas_special
project
ARLID cav_un_auth*0318110
project_id 7F14287
agency GA MŠk
country CZ
abstract (eng) 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.
RIV BB
reportyear 2017
num_of_auth 4
mrcbC52 4 A hod 4ah 20231122142039.6
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0265404
cooperation
ARLID cav_un_auth*0336787
name Norwegian Institute for Air Research
institution NILU
country NO
mrcbC64 1 Department of Adaptive Systems UTIA-B 10500 GEOSCIENCES, MULTIDISCIPLINARY
confidential S
mrcbC86 2 Article Geosciences Multidisciplinary
mrcbT16-e GEOSCIENCESMULTIDISCIPLINARY
mrcbT16-j 2.205
mrcbT16-s 2.201
mrcbT16-4 Q1
mrcbT16-B 95.838
mrcbT16-D Q1*
mrcbT16-E Q1*
arlyear 2016
mrcbTft \nSoubory v repozitáři: tichy-0466029.pdf
mrcbU14 84999098798 SCOPUS
mrcbU24 PUBMED
mrcbU34 000388722900003 WOS
mrcbU63 cav_un_epca*0362023 Geoscientific Model Development 1991-959X 1991-9603 Roč. 9 č. 11 2016 4297 4311 Copernicus GmbH