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Local sea level trends, accelerations and uncertainties over 1993–2019

Satellite altimetry missions provide a quasi-global synoptic view of sea level variations over more than 25 years and provide regional sea level (SL) indicators such as trends and accelerations. Estimating realistic uncertainties on these quantities is crucial to address current climate science ques...

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Autores principales: Prandi, Pierre, Meyssignac, Benoit, Ablain, Michaël, Spada, Giorgio, Ribes, Aurélien, Benveniste, Jérôme
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7791125/
https://www.ncbi.nlm.nih.gov/pubmed/33414438
http://dx.doi.org/10.1038/s41597-020-00786-7
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author Prandi, Pierre
Meyssignac, Benoit
Ablain, Michaël
Spada, Giorgio
Ribes, Aurélien
Benveniste, Jérôme
author_facet Prandi, Pierre
Meyssignac, Benoit
Ablain, Michaël
Spada, Giorgio
Ribes, Aurélien
Benveniste, Jérôme
author_sort Prandi, Pierre
collection PubMed
description Satellite altimetry missions provide a quasi-global synoptic view of sea level variations over more than 25 years and provide regional sea level (SL) indicators such as trends and accelerations. Estimating realistic uncertainties on these quantities is crucial to address current climate science questions. While uncertainty estimates are available for the global mean sea level (GMSL), information is not available at local scales so far. We estimate a local satellite altimetry error budget and use it to derive local error variance-covariance matrices, and estimate confidence intervals on trends and accelerations at the 90% confidence level. Over 1993–2019, we find that the average local sea level trend uncertainty is 0.83 mm.yr(−1) with values ranging from 0.78 to 1.22 mm.yr(−1). For accelerations, uncertainties range from 0.057 to 0.12 mm.yr(−1), with a mean value of 0.062. We also perform a sensitivity study to investigate a range of plausible error budgets. Local error levels, error variance-covariance matrices, SL trends and accelerations, along with corresponding uncertainties are provided.
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spelling pubmed-77911252021-01-15 Local sea level trends, accelerations and uncertainties over 1993–2019 Prandi, Pierre Meyssignac, Benoit Ablain, Michaël Spada, Giorgio Ribes, Aurélien Benveniste, Jérôme Sci Data Data Descriptor Satellite altimetry missions provide a quasi-global synoptic view of sea level variations over more than 25 years and provide regional sea level (SL) indicators such as trends and accelerations. Estimating realistic uncertainties on these quantities is crucial to address current climate science questions. While uncertainty estimates are available for the global mean sea level (GMSL), information is not available at local scales so far. We estimate a local satellite altimetry error budget and use it to derive local error variance-covariance matrices, and estimate confidence intervals on trends and accelerations at the 90% confidence level. Over 1993–2019, we find that the average local sea level trend uncertainty is 0.83 mm.yr(−1) with values ranging from 0.78 to 1.22 mm.yr(−1). For accelerations, uncertainties range from 0.057 to 0.12 mm.yr(−1), with a mean value of 0.062. We also perform a sensitivity study to investigate a range of plausible error budgets. Local error levels, error variance-covariance matrices, SL trends and accelerations, along with corresponding uncertainties are provided. Nature Publishing Group UK 2021-01-07 /pmc/articles/PMC7791125/ /pubmed/33414438 http://dx.doi.org/10.1038/s41597-020-00786-7 Text en © The Author(s) 2021 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Prandi, Pierre
Meyssignac, Benoit
Ablain, Michaël
Spada, Giorgio
Ribes, Aurélien
Benveniste, Jérôme
Local sea level trends, accelerations and uncertainties over 1993–2019
title Local sea level trends, accelerations and uncertainties over 1993–2019
title_full Local sea level trends, accelerations and uncertainties over 1993–2019
title_fullStr Local sea level trends, accelerations and uncertainties over 1993–2019
title_full_unstemmed Local sea level trends, accelerations and uncertainties over 1993–2019
title_short Local sea level trends, accelerations and uncertainties over 1993–2019
title_sort local sea level trends, accelerations and uncertainties over 1993–2019
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7791125/
https://www.ncbi.nlm.nih.gov/pubmed/33414438
http://dx.doi.org/10.1038/s41597-020-00786-7
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