Data quality enhancement for field experiments in atmospheric chemistry via sequential Monte Carlo f...
Data quality enhancement for field experiments in atmospheric chemistry via sequential Monte Carlo filters
About this item
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Author / Creator
Publisher
Katlenburg-Lindau: Copernicus GmbH
Journal title
Language
English
Formats
Publication information
Publisher
Katlenburg-Lindau: Copernicus GmbH
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More information
Scope and Contents
Contents
In this study, we explore the applications and limitations of sequential Monte Carlo (SMC) filters to field experiments in atmospheric chemistry. The proposed algorithm is simple, fast, versatile and returns a complete probability distribution. It combines information from measurements with known system dynamics to decrease the uncertainty of measu...
Alternative Titles
Full title
Data quality enhancement for field experiments in atmospheric chemistry via sequential Monte Carlo filters
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_3772f584eb8e4251bdfd70a8497e976d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3772f584eb8e4251bdfd70a8497e976d
Other Identifiers
ISSN
1867-8548,1867-1381
E-ISSN
1867-8548
DOI
10.5194/amt-16-1167-2023
