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Lake Water Temperature Modeling in an Era of Climate Change: Data Sources, Models, and Future Prospects

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dc.abstract.enLake thermal dynamics have been considerably impacted by climate change, with potential adverse effects on aquatic ecosystems. To better understand the potential impacts of future climate change on lake thermal dynamics and related processes, the use of mathematical models is essential. In this study, we provide a comprehensive review of lake water temperature modeling. We begin by discussing the physical concepts that regulate thermal dynamics in lakes, which serve as a primer for the description of process-based models. We then provide an overview of different sources of observational water temperature data, including in situ monitoring and satellite Earth observations, used in the field of lake water temperature modeling. We classify and review the various lake water temperature models available, and then discuss model performance, including commonly used performance metrics and optimization methods. Finally, we analyze emerging modeling approaches, including forecasting, digital twins, combining process-based modeling with deep learning, evaluating structural model differences through ensemble modeling, adapted water management, and coupling of climate and lake models. This review is aimed at a diverse group of professionals working in the fields of limnology and hydrology, including ecologists, biologists, physicists, engineers, and remote sensing researchers from the private and public sectors who are interested in understanding lake water temperature modeling and its potential applications.
dc.affiliationWydział Inżynierii Środowiska i Inżynierii Mechanicznej
dc.affiliation.instituteKatedra Melioracji, Kształtowania Środowiska i Gospodarki Przestrzennej
dc.contributor.authorPiccolroaz, S.
dc.contributor.authorZhu, S.
dc.contributor.authorLadwig, R.
dc.contributor.authorCarrea, L.
dc.contributor.authorOliver, S.
dc.contributor.authorPiotrowski, A. P.
dc.contributor.authorPtak, M.
dc.contributor.authorShinohara, R.
dc.contributor.authorSojka, Mariusz
dc.contributor.authorWoolway, R. I.
dc.contributor.authorZhu, D. Z.
dc.date.access2024-08-30
dc.date.accessioned2024-08-30T07:18:10Z
dc.date.available2024-08-30T07:18:10Z
dc.date.copyright2024-02-11
dc.date.issued2024
dc.description.abstract<jats:title>Abstract</jats:title><jats:p>Lake thermal dynamics have been considerably impacted by climate change, with potential adverse effects on aquatic ecosystems. To better understand the potential impacts of future climate change on lake thermal dynamics and related processes, the use of mathematical models is essential. In this study, we provide a comprehensive review of lake water temperature modeling. We begin by discussing the physical concepts that regulate thermal dynamics in lakes, which serve as a primer for the description of process‐based models. We then provide an overview of different sources of observational water temperature data, including in situ monitoring and satellite Earth observations, used in the field of lake water temperature modeling. We classify and review the various lake water temperature models available, and then discuss model performance, including commonly used performance metrics and optimization methods. Finally, we analyze emerging modeling approaches, including forecasting, digital twins, combining process‐based modeling with deep learning, evaluating structural model differences through ensemble modeling, adapted water management, and coupling of climate and lake models. This review is aimed at a diverse group of professionals working in the fields of limnology and hydrology, including ecologists, biologists, physicists, engineers, and remote sensing researchers from the private and public sectors who are interested in understanding lake water temperature modeling and its potential applications.</jats:p>
dc.description.accesstimeat_publication
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if37,3
dc.description.number1, March 2024
dc.description.points200
dc.description.reviewreview
dc.description.versionfinal_published
dc.description.volume62
dc.identifier.doi10.1029/2023RG000816
dc.identifier.eissn1944-9208
dc.identifier.issn8755-1209
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/1710
dc.identifier.weblinkhttps://agupubs.onlinelibrary.wiley.com/doi/10.1029/2023RG000816
dc.languageen
dc.pbn.affiliationenvironmental engineering, mining and energy
dc.relation.ispartofReviews of Geophysics
dc.relation.pagese2023RG000816
dc.rightsCC-BY
dc.sciencecloudnosend
dc.share.typeOTHER
dc.subject.enthermal dynamics
dc.subject.enlimnology
dc.subject.endeterministic models
dc.subject.enheat budget
dc.subject.enmachine learning
dc.subject.endata sources
dc.titleLake Water Temperature Modeling in an Era of Climate Change: Data Sources, Models, and Future Prospects
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.volume62