Sea Level Trends and Variability of the Baltic Sea From 2D Statistical Reconstruction and Altimetry

2D sea level trend and variability fields of the Baltic Sea were reconstructed based on statistical modeling of monthly tide gauge observations, and model reanalysis as a reference. The reconstruction included both absolute and relative sea level (RSL) in 11 km resolution over the period 1900–2014....

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Published in:Frontiers in Earth Science
Main Authors: Kristine S. Madsen, Jacob L. Høyer, Ülo Suursaar, Jun She, Per Knudsen
Format: Article in Journal/Newspaper
Language:English
Published: Frontiers Media S.A. 2019
Subjects:
GIA
Q
Online Access:https://doi.org/10.3389/feart.2019.00243
https://doaj.org/article/7580134783064665a08df7cdf8bcac8e
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spelling ftdoajarticles:oai:doaj.org/article:7580134783064665a08df7cdf8bcac8e 2023-05-15T18:18:55+02:00 Sea Level Trends and Variability of the Baltic Sea From 2D Statistical Reconstruction and Altimetry Kristine S. Madsen Jacob L. Høyer Ülo Suursaar Jun She Per Knudsen 2019-09-01T00:00:00Z https://doi.org/10.3389/feart.2019.00243 https://doaj.org/article/7580134783064665a08df7cdf8bcac8e EN eng Frontiers Media S.A. https://www.frontiersin.org/article/10.3389/feart.2019.00243/full https://doaj.org/toc/2296-6463 2296-6463 doi:10.3389/feart.2019.00243 https://doaj.org/article/7580134783064665a08df7cdf8bcac8e Frontiers in Earth Science, Vol 7 (2019) sea level change sea level modeling satellite altimetry climate change PSMSL GIA Science Q article 2019 ftdoajarticles https://doi.org/10.3389/feart.2019.00243 2022-12-31T04:14:50Z 2D sea level trend and variability fields of the Baltic Sea were reconstructed based on statistical modeling of monthly tide gauge observations, and model reanalysis as a reference. The reconstruction included both absolute and relative sea level (RSL) in 11 km resolution over the period 1900–2014. The reconstructed monthly sea level had an average correlation of 96% and root mean square error of 3.8 cm with 56 tide gauges independent of the statistical model. The statistical reconstruction of sea level was based on multiple linear regression and took land deformation information into account. An assessment of the quality of an open ocean altimetry product (ESA Sea Level CCI ECV, hereafter “the CCI”) in this regional sea was performed by validating the variability against the reconstruction as an independent source of sea level information. The validation allowed us to determine how close to the coast the CCI can be considered reliable. The CCI matched reconstructed sea level variability with correlation above 90% and root-mean-square (RMS) difference below 6 cm in the southern and open part of the Baltic Proper. However, areas with seasonal sea ice and areas of high natural variability need special treatment. The reconstructed RSL change, which is important for coastal communities, was found to be dominated by isostatic land movements. This pattern was confirmed by independent observations and the values were provided along the entire coastline of the Baltic Sea. The area averaged absolute sea level change for the Baltic Sea was 1.3 ± 0.3 mm/yr for the 20th century, which was slightly below the global mean for the same period. Considering the relative shortness of the satellite era, natural variability made trend estimation sensitive to the selected data period, but the linear trends derived from the reconstruction (3.4 ± 0.7 mm/yr for 1993–2014) fitted with those of the CCI (4.0 ± 1.4 mm/yr for 1993–2015) and with global mean estimates within the limits of uncertainty. Article in Journal/Newspaper Sea ice Directory of Open Access Journals: DOAJ Articles Frontiers in Earth Science 7
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic sea level change
sea level modeling
satellite altimetry
climate change
PSMSL
GIA
Science
Q
spellingShingle sea level change
sea level modeling
satellite altimetry
climate change
PSMSL
GIA
Science
Q
Kristine S. Madsen
Jacob L. Høyer
Ülo Suursaar
Jun She
Per Knudsen
Sea Level Trends and Variability of the Baltic Sea From 2D Statistical Reconstruction and Altimetry
topic_facet sea level change
sea level modeling
satellite altimetry
climate change
PSMSL
GIA
Science
Q
description 2D sea level trend and variability fields of the Baltic Sea were reconstructed based on statistical modeling of monthly tide gauge observations, and model reanalysis as a reference. The reconstruction included both absolute and relative sea level (RSL) in 11 km resolution over the period 1900–2014. The reconstructed monthly sea level had an average correlation of 96% and root mean square error of 3.8 cm with 56 tide gauges independent of the statistical model. The statistical reconstruction of sea level was based on multiple linear regression and took land deformation information into account. An assessment of the quality of an open ocean altimetry product (ESA Sea Level CCI ECV, hereafter “the CCI”) in this regional sea was performed by validating the variability against the reconstruction as an independent source of sea level information. The validation allowed us to determine how close to the coast the CCI can be considered reliable. The CCI matched reconstructed sea level variability with correlation above 90% and root-mean-square (RMS) difference below 6 cm in the southern and open part of the Baltic Proper. However, areas with seasonal sea ice and areas of high natural variability need special treatment. The reconstructed RSL change, which is important for coastal communities, was found to be dominated by isostatic land movements. This pattern was confirmed by independent observations and the values were provided along the entire coastline of the Baltic Sea. The area averaged absolute sea level change for the Baltic Sea was 1.3 ± 0.3 mm/yr for the 20th century, which was slightly below the global mean for the same period. Considering the relative shortness of the satellite era, natural variability made trend estimation sensitive to the selected data period, but the linear trends derived from the reconstruction (3.4 ± 0.7 mm/yr for 1993–2014) fitted with those of the CCI (4.0 ± 1.4 mm/yr for 1993–2015) and with global mean estimates within the limits of uncertainty.
format Article in Journal/Newspaper
author Kristine S. Madsen
Jacob L. Høyer
Ülo Suursaar
Jun She
Per Knudsen
author_facet Kristine S. Madsen
Jacob L. Høyer
Ülo Suursaar
Jun She
Per Knudsen
author_sort Kristine S. Madsen
title Sea Level Trends and Variability of the Baltic Sea From 2D Statistical Reconstruction and Altimetry
title_short Sea Level Trends and Variability of the Baltic Sea From 2D Statistical Reconstruction and Altimetry
title_full Sea Level Trends and Variability of the Baltic Sea From 2D Statistical Reconstruction and Altimetry
title_fullStr Sea Level Trends and Variability of the Baltic Sea From 2D Statistical Reconstruction and Altimetry
title_full_unstemmed Sea Level Trends and Variability of the Baltic Sea From 2D Statistical Reconstruction and Altimetry
title_sort sea level trends and variability of the baltic sea from 2d statistical reconstruction and altimetry
publisher Frontiers Media S.A.
publishDate 2019
url https://doi.org/10.3389/feart.2019.00243
https://doaj.org/article/7580134783064665a08df7cdf8bcac8e
genre Sea ice
genre_facet Sea ice
op_source Frontiers in Earth Science, Vol 7 (2019)
op_relation https://www.frontiersin.org/article/10.3389/feart.2019.00243/full
https://doaj.org/toc/2296-6463
2296-6463
doi:10.3389/feart.2019.00243
https://doaj.org/article/7580134783064665a08df7cdf8bcac8e
op_doi https://doi.org/10.3389/feart.2019.00243
container_title Frontiers in Earth Science
container_volume 7
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