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Detection and attribution of intra-annual mass component of sea-level variations along the Norwegian coast
Reliable sea-level observations in coastal regions are needed to assess the impact of sea level on coastal communities and ecosystems. This paper evaluates the ability of in-situ and remote sensing instruments to monitor and help explain the mass component of sea level along the coast of Norway. The...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504360/ https://www.ncbi.nlm.nih.gov/pubmed/37714863 http://dx.doi.org/10.1038/s41598-023-40853-8 |
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author | Mangini, Fabio Bonaduce, Antonio Chafik, Léon Raj, Roshin Bertino, Laurent |
author_facet | Mangini, Fabio Bonaduce, Antonio Chafik, Léon Raj, Roshin Bertino, Laurent |
author_sort | Mangini, Fabio |
collection | PubMed |
description | Reliable sea-level observations in coastal regions are needed to assess the impact of sea level on coastal communities and ecosystems. This paper evaluates the ability of in-situ and remote sensing instruments to monitor and help explain the mass component of sea level along the coast of Norway. The general agreement between three different GRACE/GRACE-FO mascon solutions and a combination of satellite altimetry and hydrography gives us confidence to explore the mass component of sea level in coastal areas on intra-annual timescales. At first, the estimates reveal a large spatial-scale coherence of the sea-level mass component on the shelf, which agrees with Ekman theory. Then, they suggest a link between the mass component of sea level and the along-slope wind stress integrated along the eastern boundary of the North Atlantic, which agrees with the theory of poleward propagating coastal trapped waves. These results highlight the potential of the sea-level mass component from GRACE and GRACE-FO, satellite altimetry and the hydrographic stations over the Norwegian shelf. Moreover, they indicate that GRACE and GRACE-FO can be used to monitor and understand the intra-annual variability of the mass component of sea level in the coastal ocean, especially where in-situ measurements are sparse or absent. |
format | Online Article Text |
id | pubmed-10504360 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105043602023-09-17 Detection and attribution of intra-annual mass component of sea-level variations along the Norwegian coast Mangini, Fabio Bonaduce, Antonio Chafik, Léon Raj, Roshin Bertino, Laurent Sci Rep Article Reliable sea-level observations in coastal regions are needed to assess the impact of sea level on coastal communities and ecosystems. This paper evaluates the ability of in-situ and remote sensing instruments to monitor and help explain the mass component of sea level along the coast of Norway. The general agreement between three different GRACE/GRACE-FO mascon solutions and a combination of satellite altimetry and hydrography gives us confidence to explore the mass component of sea level in coastal areas on intra-annual timescales. At first, the estimates reveal a large spatial-scale coherence of the sea-level mass component on the shelf, which agrees with Ekman theory. Then, they suggest a link between the mass component of sea level and the along-slope wind stress integrated along the eastern boundary of the North Atlantic, which agrees with the theory of poleward propagating coastal trapped waves. These results highlight the potential of the sea-level mass component from GRACE and GRACE-FO, satellite altimetry and the hydrographic stations over the Norwegian shelf. Moreover, they indicate that GRACE and GRACE-FO can be used to monitor and understand the intra-annual variability of the mass component of sea level in the coastal ocean, especially where in-situ measurements are sparse or absent. Nature Publishing Group UK 2023-09-15 /pmc/articles/PMC10504360/ /pubmed/37714863 http://dx.doi.org/10.1038/s41598-023-40853-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Mangini, Fabio Bonaduce, Antonio Chafik, Léon Raj, Roshin Bertino, Laurent Detection and attribution of intra-annual mass component of sea-level variations along the Norwegian coast |
title | Detection and attribution of intra-annual mass component of sea-level variations along the Norwegian coast |
title_full | Detection and attribution of intra-annual mass component of sea-level variations along the Norwegian coast |
title_fullStr | Detection and attribution of intra-annual mass component of sea-level variations along the Norwegian coast |
title_full_unstemmed | Detection and attribution of intra-annual mass component of sea-level variations along the Norwegian coast |
title_short | Detection and attribution of intra-annual mass component of sea-level variations along the Norwegian coast |
title_sort | detection and attribution of intra-annual mass component of sea-level variations along the norwegian coast |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504360/ https://www.ncbi.nlm.nih.gov/pubmed/37714863 http://dx.doi.org/10.1038/s41598-023-40853-8 |
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