View in EDS HTML Full Text PDF Full Text

An improved Bayesian inversion to estimate daily NO x emissions of Paris from TROPOMI NO2 observations between 2018–2023.

Saved in:
Bibliographic Details
Title: An improved Bayesian inversion to estimate daily NO x emissions of Paris from TROPOMI NO2 observations between 2018–2023.
Authors: Mols, Alba1 (AUTHOR), Boersma, Klaas Folkert1,2 (AUTHOR) folkert.boersma@wur.nl, Denier van der Gon, Hugo3 (AUTHOR), Krol, Maarten1,4 (AUTHOR)
Source: Atmospheric Chemistry & Physics. 2026, Vol. 26 Issue 2, p1497-1513. 17p.
Database: Environment Complete
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: eih
DbLabel: Environment Complete
An: 191385027
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: An improved Bayesian inversion to estimate daily NO<subscript> x </subscript> emissions of Paris from TROPOMI NO<subscript>2</subscript> observations between 2018–2023.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Mols%2C+Alba%22">Mols, Alba</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Boersma%2C+Klaas Folkert%22">Boersma, Klaas Folkert</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> folkert.boersma@wur.nl</i><br /><searchLink fieldCode="AR" term="%22Denier van der Gon%2C+Hugo%22">Denier van der Gon, Hugo</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Krol%2C+Maarten%22">Krol, Maarten</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Atmospheric+Chemistry+%26+Physics%22">Atmospheric Chemistry & Physics</searchLink>. 2026, Vol. 26 Issue 2, p1497-1513. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=191385027
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.5194/acp-26-1497-2026
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 17
        StartPage: 1497
    Titles:
      – TitleFull: An improved Bayesian inversion to estimate daily NO x emissions of Paris from TROPOMI NO2 observations between 2018–2023.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Mols, Alba
      – PersonEntity:
          Name:
            NameFull: Boersma, Klaas Folkert
      – PersonEntity:
          Name:
            NameFull: Denier van der Gon, Hugo
      – PersonEntity:
          Name:
            NameFull: Krol, Maarten
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 01
              Text: 2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 16807316
          Numbering:
            – Type: volume
              Value: 26
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Atmospheric Chemistry & Physics
              Type: main
ResultId 1