A ten-year numerical hindcast of hydrodynamics and sediment dynamics in the Loire Estuary
Abstract A numerical hindcast of the macrotidal Loire Estuary (France) has been generated to provide a long-term dataset (2008–2018) of estuarine hydrodynamics, temperature, salinity, and sediment dynamics. This hindcast is based on simulations coupling water motion, wave and mixed sediment models,...
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2023
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ftdoajarticles:oai:doaj.org/article:8d1d9989472d4dc19618d51bf43fcb02 2023-07-23T04:20:35+02:00 A ten-year numerical hindcast of hydrodynamics and sediment dynamics in the Loire Estuary Florent Grasso Matthieu Caillaud 2023-06-01T00:00:00Z https://doi.org/10.1038/s41597-023-02294-w https://doaj.org/article/8d1d9989472d4dc19618d51bf43fcb02 EN eng Nature Portfolio https://doi.org/10.1038/s41597-023-02294-w https://doaj.org/toc/2052-4463 doi:10.1038/s41597-023-02294-w 2052-4463 https://doaj.org/article/8d1d9989472d4dc19618d51bf43fcb02 Scientific Data, Vol 10, Iss 1, Pp 1-15 (2023) Science Q article 2023 ftdoajarticles https://doi.org/10.1038/s41597-023-02294-w 2023-07-02T00:41:07Z Abstract A numerical hindcast of the macrotidal Loire Estuary (France) has been generated to provide a long-term dataset (2008–2018) of estuarine hydrodynamics, temperature, salinity, and sediment dynamics. This hindcast is based on simulations coupling water motion, wave and mixed sediment models, forced with realistic conditions and extensively validated in the salinity gradient and turbidity maximum areas. These data represent extremely valuable information for diverse scientific communities, providing (i) environmental parameters for ecosystemic studies along the Loire River–sea continuum, (ii) a singular estuarine configuration for inter-comparison of estuarine functioning, and (iii) a ten-year synoptical view of a major estuarine environment of the North Atlantic Ocean. Article in Journal/Newspaper North Atlantic Directory of Open Access Journals: DOAJ Articles Scientific Data 10 1 |
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Science Q Florent Grasso Matthieu Caillaud A ten-year numerical hindcast of hydrodynamics and sediment dynamics in the Loire Estuary |
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Science Q |
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Abstract A numerical hindcast of the macrotidal Loire Estuary (France) has been generated to provide a long-term dataset (2008–2018) of estuarine hydrodynamics, temperature, salinity, and sediment dynamics. This hindcast is based on simulations coupling water motion, wave and mixed sediment models, forced with realistic conditions and extensively validated in the salinity gradient and turbidity maximum areas. These data represent extremely valuable information for diverse scientific communities, providing (i) environmental parameters for ecosystemic studies along the Loire River–sea continuum, (ii) a singular estuarine configuration for inter-comparison of estuarine functioning, and (iii) a ten-year synoptical view of a major estuarine environment of the North Atlantic Ocean. |
format |
Article in Journal/Newspaper |
author |
Florent Grasso Matthieu Caillaud |
author_facet |
Florent Grasso Matthieu Caillaud |
author_sort |
Florent Grasso |
title |
A ten-year numerical hindcast of hydrodynamics and sediment dynamics in the Loire Estuary |
title_short |
A ten-year numerical hindcast of hydrodynamics and sediment dynamics in the Loire Estuary |
title_full |
A ten-year numerical hindcast of hydrodynamics and sediment dynamics in the Loire Estuary |
title_fullStr |
A ten-year numerical hindcast of hydrodynamics and sediment dynamics in the Loire Estuary |
title_full_unstemmed |
A ten-year numerical hindcast of hydrodynamics and sediment dynamics in the Loire Estuary |
title_sort |
ten-year numerical hindcast of hydrodynamics and sediment dynamics in the loire estuary |
publisher |
Nature Portfolio |
publishDate |
2023 |
url |
https://doi.org/10.1038/s41597-023-02294-w https://doaj.org/article/8d1d9989472d4dc19618d51bf43fcb02 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Scientific Data, Vol 10, Iss 1, Pp 1-15 (2023) |
op_relation |
https://doi.org/10.1038/s41597-023-02294-w https://doaj.org/toc/2052-4463 doi:10.1038/s41597-023-02294-w 2052-4463 https://doaj.org/article/8d1d9989472d4dc19618d51bf43fcb02 |
op_doi |
https://doi.org/10.1038/s41597-023-02294-w |
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Scientific Data |
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10 |
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1772185089057226752 |