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Multi-column modelling of lake Geneva for climate applications
The interaction between large inland water bodies and the atmosphere impacts the evolution of regional weather and climate, which in turn affects the lake dynamics, thermodynamics, ice-formation, and, therefore, ecosystems. Over the last decades, various approaches have been used to model lake therm...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748647/ https://www.ncbi.nlm.nih.gov/pubmed/35013391 http://dx.doi.org/10.1038/s41598-021-04061-6 |
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author | Gaillard, Romain Perroud, Marjorie Goyette, Stéphane Kasparian, Jérôme |
author_facet | Gaillard, Romain Perroud, Marjorie Goyette, Stéphane Kasparian, Jérôme |
author_sort | Gaillard, Romain |
collection | PubMed |
description | The interaction between large inland water bodies and the atmosphere impacts the evolution of regional weather and climate, which in turn affects the lake dynamics, thermodynamics, ice-formation, and, therefore, ecosystems. Over the last decades, various approaches have been used to model lake thermodynamics and dynamics in standalone mode or coupled to numerical atmospheric models. We assess a turbulence-closure [Formula: see text] multi-column lake model in standalone mode as a computationally-efficient alternative to a full three-dimensional hydrodynamic model in the case of Lake Geneva. While it struggles to reproduce some short-term features, the multi-column model reasonably reproduces the seasonal mean of the thermal horizontal and vertical structures governing heat and mass exchanges between the lake surface and the lower atmosphere (stratified period, thermocline depth, stability of the water column). As it requires typically two orders of magnitude less computational ressources, it may allow a two-way coupling with a RCM on timescales or spatial resolutions where full 3D lake models are too demanding. |
format | Online Article Text |
id | pubmed-8748647 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87486472022-01-11 Multi-column modelling of lake Geneva for climate applications Gaillard, Romain Perroud, Marjorie Goyette, Stéphane Kasparian, Jérôme Sci Rep Article The interaction between large inland water bodies and the atmosphere impacts the evolution of regional weather and climate, which in turn affects the lake dynamics, thermodynamics, ice-formation, and, therefore, ecosystems. Over the last decades, various approaches have been used to model lake thermodynamics and dynamics in standalone mode or coupled to numerical atmospheric models. We assess a turbulence-closure [Formula: see text] multi-column lake model in standalone mode as a computationally-efficient alternative to a full three-dimensional hydrodynamic model in the case of Lake Geneva. While it struggles to reproduce some short-term features, the multi-column model reasonably reproduces the seasonal mean of the thermal horizontal and vertical structures governing heat and mass exchanges between the lake surface and the lower atmosphere (stratified period, thermocline depth, stability of the water column). As it requires typically two orders of magnitude less computational ressources, it may allow a two-way coupling with a RCM on timescales or spatial resolutions where full 3D lake models are too demanding. Nature Publishing Group UK 2022-01-10 /pmc/articles/PMC8748647/ /pubmed/35013391 http://dx.doi.org/10.1038/s41598-021-04061-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Gaillard, Romain Perroud, Marjorie Goyette, Stéphane Kasparian, Jérôme Multi-column modelling of lake Geneva for climate applications |
title | Multi-column modelling of lake Geneva for climate applications |
title_full | Multi-column modelling of lake Geneva for climate applications |
title_fullStr | Multi-column modelling of lake Geneva for climate applications |
title_full_unstemmed | Multi-column modelling of lake Geneva for climate applications |
title_short | Multi-column modelling of lake Geneva for climate applications |
title_sort | multi-column modelling of lake geneva for climate applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748647/ https://www.ncbi.nlm.nih.gov/pubmed/35013391 http://dx.doi.org/10.1038/s41598-021-04061-6 |
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