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 |
|
|
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 |
|
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 |
|