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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| Veröffentlicht in: | Scientific data 2021-01, Vol.8 (1), p.1-1, Article 1 |
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| creator | Prandi, Pierre Meyssignac, Benoit Ablain, Michaël Spada, Giorgio Ribes, Aurélien Benveniste, Jérôme |
| 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.
Measurement(s)
sea surface height
Technology Type(s)
satellite radar altimetry
Factor Type(s)
year of data collection
Sample Characteristic - Environment
sea • ocean
Sample Characteristic - Location
global
Machine-accessible metadata file describing the reported data:
https://doi.org/10.6084/m9.figshare.13297757 |
| doi_str_mv | 10.1038/s41597-020-00786-7 |
| format | Article |
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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.
Measurement(s)
sea surface height
Technology Type(s)
satellite radar altimetry
Factor Type(s)
year of data collection
Sample Characteristic - Environment
sea • ocean
Sample Characteristic - Location
global
Machine-accessible metadata file describing the reported data:
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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.
Measurement(s)
sea surface height
Technology Type(s)
satellite radar altimetry
Factor Type(s)
year of data collection
Sample Characteristic - Environment
sea • ocean
Sample Characteristic - Location
global
Machine-accessible metadata file describing the reported data:
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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.
Measurement(s)
sea surface height
Technology Type(s)
satellite radar altimetry
Factor Type(s)
year of data collection
Sample Characteristic - Environment
sea • ocean
Sample Characteristic - Location
global
Machine-accessible metadata file describing the reported data:
https://doi.org/10.6084/m9.figshare.13297757</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>33414438</pmid><doi>10.1038/s41597-020-00786-7</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-6325-9843</orcidid><orcidid>https://orcid.org/0000-0001-8224-0486</orcidid><orcidid>https://orcid.org/0000-0001-5102-7885</orcidid><orcidid>https://orcid.org/0000-0002-1398-8498</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | 704/106/694/2739 704/106/829/2737 704/4111 Data collection Data Descriptor Humanities and Social Sciences multidisciplinary Ocean, Atmosphere Science Science (multidisciplinary) Sciences of the Universe Sea level Trends |
| title | Local sea level trends, accelerations and uncertainties over 1993–2019 |
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