Zobraziť v EDS

Assimilating multi-site eddy-covariance data to calibrate the wetland CH4 emission module in a terrestrial ecosystem model

Uložené v:
Podrobná bibliografia
Názov: Assimilating multi-site eddy-covariance data to calibrate the wetland CH4 emission module in a terrestrial ecosystem model
Autori: Kallingal, Jalisha Theanutti, Scholze, Marko, Miller, Paul Anthony, Lindström, Johan, Rinne, Janne, Aurela, Mika, Vestin, Patrik, Weslien, Per
Prispievatelia: Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), MERGE: ModElling the Regional and Global Earth system, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), MERGE: ModElling the Regional and Global Earth system, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), BECC: Biodiversity and Ecosystem services in a Changing Climate, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), BECC: Biodiversity and Ecosystem services in a Changing Climate, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), eSSENCE: The e-Science Collaboration, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), eSSENCE: The e-Science Collaboration, Originator, Lund University, Faculty of Science, Dept of Physical Geography and Ecosystem Science, Lunds universitet, Naturvetenskapliga fakulteten, Institutionen för naturgeografi och ekosystemvetenskap, Originator, Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: Aerosols, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: Aerosoler, Originator, Lund University, Profile areas and other strong research environments, Lund University Profile areas, LU Profile Area: Nature-based future solutions, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Lunds universitets profilområden, LU profilområde: Naturbaserade framtidslösningar, Originator, Lund University, Faculty of Science, Centre for Mathematical Sciences, Mathematical Statistics, Lunds universitet, Naturvetenskapliga fakulteten, Matematikcentrum, Matematisk statistik, Originator
Zdroj: Biogeosciences. 22(16):4061-4086
Predmety: Natural Sciences, Earth and Related Environmental Sciences, Climate Science, Naturvetenskap, Geovetenskap och relaterad miljövetenskap, Klimatvetenskap, Mathematical Sciences, Probability Theory and Statistics, Matematik, Sannolikhetsteori och statistik, Physical Geography, Naturgeografi
Popis: In this study, we use a data assimilation framework based on the adaptive Markov chain Monte Carlo (MCMC) algorithm to constrain process parameters in LPJ-GUESS model using CH4 eddy-covariance flux observations from 14 different natural boreal, temperate, and arctic wetlands. The objective is to derive a single set of calibrated parameter values. The calibrated parameter values are then used in the model to validate its CH4 flux output against independent CH4 flux observations from five different types of natural wetlands situated in different locations, assessing their generality for simulating CH4 fluxes from boreal, temperate, and arctic wetlands. The results show that the MCMC framework has substantially reduced the cost function (measuring the misfit between simulated and observed CH4 fluxes) and facilitated detailed characterisation of the posterior parameter distribution. A reduction of around 50 % in RMSE was achieved, reflecting improved agreement with the observations. The results of the validation experiment indicate that for four out of the five validation sites the RMSE was successfully reduced, demonstrating the effectiveness of the framework for estimating CH4 emissions from wetlands not included in the assimilation experiment. For wetlands above 45° N, the total mean annual CH4 emission estimation using the optimised model resulted in 28.16 Tg C yr−1 and for regions above 60 ° N it resulted in 7.46 Tg C yr−1 .
Prístupová URL adresa: https://doi.org/10.5194/bg-22-4061-2025
Databáza: SwePub
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://doi.org/10.5194/bg-22-4061-2025#
    Name: EDS - SwePub (s4221598)
    Category: fullText
    Text: View record in SwePub
  – Url: https://resolver.ebscohost.com/openurl?sid=EBSCO:edsswe&genre=article&issn=17264189&ISBN=&volume=22&issue=16&date=20250825&spage=4061&pages=4061-4086&title=Biogeosciences&atitle=Assimilating%20multi-site%20eddy-covariance%20data%20to%20calibrate%20the%20wetland%20CH4%20emission%20module%20in%20a%20terrestrial%20ecosystem%20model&aulast=Kallingal%2C%20Jalisha%20Theanutti&id=DOI:10.5194/bg-22-4061-2025
    Name: Full Text Finder
    Category: fullText
    Text: Full Text Finder
    Icon: https://imageserver.ebscohost.com/branding/images/FTF.gif
    MouseOverText: Full Text Finder
  – Url: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=EBSCO&SrcAuth=EBSCO&DestApp=WOS&ServiceName=TransferToWoS&DestLinkType=GeneralSearchSummary&Func=Links&author=Kallingal%20JT
    Name: ISI
    Category: fullText
    Text: Nájsť tento článok vo Web of Science
    Icon: https://imagesrvr.epnet.com/ls/20docs.gif
    MouseOverText: Nájsť tento článok vo Web of Science
Header DbId: edsswe
DbLabel: SwePub
An: edsswe.oai.portal.research.lu.se.publications.9e0f3ffb.b12c.4372.b55b.79a850779fa1
RelevancyScore: 1152
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 1152.21813964844
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Assimilating multi-site eddy-covariance data to calibrate the wetland CH4 emission module in a terrestrial ecosystem model
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Kallingal%2C+Jalisha+Theanutti%22">Kallingal, Jalisha Theanutti</searchLink><br /><searchLink fieldCode="AR" term="%22Scholze%2C+Marko%22">Scholze, Marko</searchLink><br /><searchLink fieldCode="AR" term="%22Miller%2C+Paul+Anthony%22">Miller, Paul Anthony</searchLink><br /><searchLink fieldCode="AR" term="%22Lindström%2C+Johan%22">Lindström, Johan</searchLink><br /><searchLink fieldCode="AR" term="%22Rinne%2C+Janne%22">Rinne, Janne</searchLink><br /><searchLink fieldCode="AR" term="%22Aurela%2C+Mika%22">Aurela, Mika</searchLink><br /><searchLink fieldCode="AR" term="%22Vestin%2C+Patrik%22">Vestin, Patrik</searchLink><br /><searchLink fieldCode="AR" term="%22Weslien%2C+Per%22">Weslien, Per</searchLink>
– Name: Author
  Label: Contributors
  Group: Au
  Data: Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), MERGE: ModElling the Regional and Global Earth system, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), MERGE: ModElling the Regional and Global Earth system, Originator<br />Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), BECC: Biodiversity and Ecosystem services in a Changing Climate, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), BECC: Biodiversity and Ecosystem services in a Changing Climate, Originator<br />Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), eSSENCE: The e-Science Collaboration, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), eSSENCE: The e-Science Collaboration, Originator<br />Lund University, Faculty of Science, Dept of Physical Geography and Ecosystem Science, Lunds universitet, Naturvetenskapliga fakulteten, Institutionen för naturgeografi och ekosystemvetenskap, Originator<br />Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: Aerosols, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: Aerosoler, Originator<br />Lund University, Profile areas and other strong research environments, Lund University Profile areas, LU Profile Area: Nature-based future solutions, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Lunds universitets profilområden, LU profilområde: Naturbaserade framtidslösningar, Originator<br />Lund University, Faculty of Science, Centre for Mathematical Sciences, Mathematical Statistics, Lunds universitet, Naturvetenskapliga fakulteten, Matematikcentrum, Matematisk statistik, Originator
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <i>Biogeosciences</i>. 22(16):4061-4086
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Natural+Sciences%22">Natural Sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Earth+and+Related+Environmental+Sciences%22">Earth and Related Environmental Sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Climate+Science%22">Climate Science</searchLink><br /><searchLink fieldCode="DE" term="%22Naturvetenskap%22">Naturvetenskap</searchLink><br /><searchLink fieldCode="DE" term="%22Geovetenskap+och+relaterad+miljövetenskap%22">Geovetenskap och relaterad miljövetenskap</searchLink><br /><searchLink fieldCode="DE" term="%22Klimatvetenskap%22">Klimatvetenskap</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+Sciences%22">Mathematical Sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Probability+Theory+and+Statistics%22">Probability Theory and Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Matematik%22">Matematik</searchLink><br /><searchLink fieldCode="DE" term="%22Sannolikhetsteori+och+statistik%22">Sannolikhetsteori och statistik</searchLink><br /><searchLink fieldCode="DE" term="%22Physical+Geography%22">Physical Geography</searchLink><br /><searchLink fieldCode="DE" term="%22Naturgeografi%22">Naturgeografi</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: In this study, we use a data assimilation framework based on the adaptive Markov chain Monte Carlo (MCMC) algorithm to constrain process parameters in LPJ-GUESS model using CH4 eddy-covariance flux observations from 14 different natural boreal, temperate, and arctic wetlands. The objective is to derive a single set of calibrated parameter values. The calibrated parameter values are then used in the model to validate its CH4 flux output against independent CH4 flux observations from five different types of natural wetlands situated in different locations, assessing their generality for simulating CH4 fluxes from boreal, temperate, and arctic wetlands. The results show that the MCMC framework has substantially reduced the cost function (measuring the misfit between simulated and observed CH4 fluxes) and facilitated detailed characterisation of the posterior parameter distribution. A reduction of around 50 % in RMSE was achieved, reflecting improved agreement with the observations. The results of the validation experiment indicate that for four out of the five validation sites the RMSE was successfully reduced, demonstrating the effectiveness of the framework for estimating CH4 emissions from wetlands not included in the assimilation experiment. For wetlands above 45° N, the total mean annual CH4 emission estimation using the optimised model resulted in 28.16 Tg C yr−1 and for regions above 60 ° N it resulted in 7.46 Tg C yr−1 .
– Name: URL
  Label: Access URL
  Group: URL
  Data: <link linkTarget="URL" linkTerm="https://doi.org/10.5194/bg-22-4061-2025" linkWindow="_blank">https://doi.org/10.5194/bg-22-4061-2025</link>
PLink https://erproxy.cvtisr.sk/sfx/access?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsswe&AN=edsswe.oai.portal.research.lu.se.publications.9e0f3ffb.b12c.4372.b55b.79a850779fa1
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.5194/bg-22-4061-2025
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 26
        StartPage: 4061
    Subjects:
      – SubjectFull: Natural Sciences
        Type: general
      – SubjectFull: Earth and Related Environmental Sciences
        Type: general
      – SubjectFull: Climate Science
        Type: general
      – SubjectFull: Naturvetenskap
        Type: general
      – SubjectFull: Geovetenskap och relaterad miljövetenskap
        Type: general
      – SubjectFull: Klimatvetenskap
        Type: general
      – SubjectFull: Mathematical Sciences
        Type: general
      – SubjectFull: Probability Theory and Statistics
        Type: general
      – SubjectFull: Matematik
        Type: general
      – SubjectFull: Sannolikhetsteori och statistik
        Type: general
      – SubjectFull: Physical Geography
        Type: general
      – SubjectFull: Naturgeografi
        Type: general
    Titles:
      – TitleFull: Assimilating multi-site eddy-covariance data to calibrate the wetland CH4 emission module in a terrestrial ecosystem model
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Kallingal, Jalisha Theanutti
      – PersonEntity:
          Name:
            NameFull: Scholze, Marko
      – PersonEntity:
          Name:
            NameFull: Miller, Paul Anthony
      – PersonEntity:
          Name:
            NameFull: Lindström, Johan
      – PersonEntity:
          Name:
            NameFull: Rinne, Janne
      – PersonEntity:
          Name:
            NameFull: Aurela, Mika
      – PersonEntity:
          Name:
            NameFull: Vestin, Patrik
      – PersonEntity:
          Name:
            NameFull: Weslien, Per
      – PersonEntity:
          Name:
            NameFull: Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), MERGE: ModElling the Regional and Global Earth system, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), MERGE: ModElling the Regional and Global Earth system, Originator
      – PersonEntity:
          Name:
            NameFull: Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), BECC: Biodiversity and Ecosystem services in a Changing Climate, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), BECC: Biodiversity and Ecosystem services in a Changing Climate, Originator
      – PersonEntity:
          Name:
            NameFull: Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), eSSENCE: The e-Science Collaboration, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), eSSENCE: The e-Science Collaboration, Originator
      – PersonEntity:
          Name:
            NameFull: Lund University, Faculty of Science, Dept of Physical Geography and Ecosystem Science, Lunds universitet, Naturvetenskapliga fakulteten, Institutionen för naturgeografi och ekosystemvetenskap, Originator
      – PersonEntity:
          Name:
            NameFull: Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: Aerosols, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: Aerosoler, Originator
      – PersonEntity:
          Name:
            NameFull: Lund University, Profile areas and other strong research environments, Lund University Profile areas, LU Profile Area: Nature-based future solutions, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Lunds universitets profilområden, LU profilområde: Naturbaserade framtidslösningar, Originator
      – PersonEntity:
          Name:
            NameFull: Lund University, Faculty of Science, Centre for Mathematical Sciences, Mathematical Statistics, Lunds universitet, Naturvetenskapliga fakulteten, Matematikcentrum, Matematisk statistik, Originator
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 25
              M: 08
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 17264189
            – Type: issn-locals
              Value: SWEPUB_FREE
            – Type: issn-locals
              Value: LU_SWEPUB
          Numbering:
            – Type: volume
              Value: 22
            – Type: issue
              Value: 16
          Titles:
            – TitleFull: Biogeosciences
              Type: main
ResultId 1