Sparse optimization for inverse problems in atmospheric modelling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F16%3A00457037" target="_blank" >RIV/67985556:_____/16:00457037 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.envsoft.2016.02.002" target="_blank" >http://dx.doi.org/10.1016/j.envsoft.2016.02.002</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.envsoft.2016.02.002" target="_blank" >10.1016/j.envsoft.2016.02.002</a>
Alternative languages
Result language
angličtina
Original language name
Sparse optimization for inverse problems in atmospheric modelling
Original language description
We consider inverse problems in atmospheric modelling represented by a linear system which is based on a source-receptor sensitivity matrix and measurements. Instead of using the ordinary least squares, we add a weighting matrix based on the topology of measurement points and show the connection with Bayesian modelling. Since the source-receptor sensitivity matrix is usually ill-conditioned, the problem is often regularized, either by perturbing the objective function or by modifying the sensitivity matrix. However, both these approaches may be heavily dependent on specified parameters. To ease this burden, we propose to use techniques looking for a sparse solution with a small number of positive elements. Finally, we compare all these methods on the European Tracer Experiment (ETEX) data where there is no apriori information apart from the release position and some measurements.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
<a href="/en/project/7F14287" target="_blank" >7F14287: Source-Term Determination of Radionuclide Releases by Inverse Atmospheric Dispersion Modelling (STRADI)</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Environmental Modelling & Software
ISSN
1364-8152
e-ISSN
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Volume of the periodical
79
Issue of the periodical within the volume
3
Country of publishing house
GB - UNITED KINGDOM
Number of pages
11
Pages from-to
256-266
UT code for WoS article
000374602000018
EID of the result in the Scopus database
2-s2.0-84959423146