Sea surface height anomaly and geostrophic current velocity from altimetry measurements over the Arctic Ocean (2011–2020)
<p>Satellite altimetry missions flying over the ice-covered Arctic Ocean have opened the possibility of further understanding changes in the ocean beneath the sea ice. This requires complex processing of satellite signals emerging from the sea surface in leads within the sea ice, with efforts...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2023-01-01
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| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/15/225/2023/essd-15-225-2023.pdf |
| _version_ | 1797955230102454272 |
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| author | F. Doglioni R. Ricker R. Ricker B. Rabe A. Barth C. Troupin T. Kanzow T. Kanzow |
| author_facet | F. Doglioni R. Ricker R. Ricker B. Rabe A. Barth C. Troupin T. Kanzow T. Kanzow |
| author_sort | F. Doglioni |
| collection | DOAJ |
| description | <p>Satellite altimetry missions flying over the ice-covered Arctic Ocean have opened the possibility of further understanding changes in the ocean beneath the sea ice. This requires complex processing of satellite signals emerging from the sea surface in leads within the sea ice, with efforts to generate consistent Arctic-wide datasets of sea surface height ongoing.
The aim of this paper is to provide and assess a novel gridded dataset of sea surface height anomaly and geostrophic velocity, which incorporates both the ice-covered and open ocean areas of the Arctic.
Data from the CryoSat-2 mission in the period 2011–2020 were gridded at monthly intervals, up to 88<span class="inline-formula"><sup>∘</sup></span> N, using the Data-Interpolating Variational Analysis (DIVA) method.
To examine the robustness of our results, we compare our dataset to independent satellite data, mooring time series and Arctic-wide hydrographic observations.
We find that our dataset is well correlated with independent satellite data at monthly timescales.
Comparisons to in situ ocean observations show that our dataset provides reliable information on the variability of sea surface height and surface geostrophic currents over geographically diverse regions of the Arctic Ocean and different dynamical regimes and sea ice states.
At all comparison sites we find agreement with in situ observed variability at seasonal to interannual timescales. Furthermore, we find that our geostrophic velocity fields can resolve the variability of boundary currents wider than about 50 km, a result relevant for studies of Arctic Ocean circulation.
Additionally, large-scale seasonal features emerge. Sea surface height exhibits a wintertime Arctic-wide maximum, with the highest amplitude over the shelves. Also, we find a basin-wide seasonal acceleration of Arctic slope currents in winter.
We suggest that this dataset can be used to study not only the large-scale sea surface height and circulation, but also the regionally confined boundary currents. The dataset is available in netCDF format from PANGAEA at <a href="https://doi.org/10.1594/PANGAEA.931869">https://doi.org/10.1594/PANGAEA.931869</a> <span class="cit" id="xref_paren.1">(<a href="#bib1.bibx35">Doglioni et al.</a>, <a href="#bib1.bibx35">2021</a><a href="#bib1.bibx35">d</a>)</span>.</p> |
| first_indexed | 2024-04-10T23:30:58Z |
| format | Article |
| id | doaj.art-b1aa4f455fd14d74b5ff7681399e0f27 |
| institution | Directory Open Access Journal |
| issn | 1866-3508 1866-3516 |
| language | English |
| last_indexed | 2024-04-10T23:30:58Z |
| publishDate | 2023-01-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Earth System Science Data |
| spelling | doaj.art-b1aa4f455fd14d74b5ff7681399e0f272023-01-12T06:58:36ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162023-01-011522526310.5194/essd-15-225-2023Sea surface height anomaly and geostrophic current velocity from altimetry measurements over the Arctic Ocean (2011–2020)F. Doglioni0R. Ricker1R. Ricker2B. Rabe3A. Barth4C. Troupin5T. Kanzow6T. Kanzow7Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, GermanyAlfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, GermanyNORCE Norwegian Research Centre, Tromsø, NorwayAlfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, GermanyGeoHydrodynamics and Environment Research (GHER), University of Liège, Liège, BelgiumGeoHydrodynamics and Environment Research (GHER), University of Liège, Liège, BelgiumAlfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, GermanyDepartment 1 of Physics and Electrical Engineering, University of Bremen, Bremen, Germany<p>Satellite altimetry missions flying over the ice-covered Arctic Ocean have opened the possibility of further understanding changes in the ocean beneath the sea ice. This requires complex processing of satellite signals emerging from the sea surface in leads within the sea ice, with efforts to generate consistent Arctic-wide datasets of sea surface height ongoing. The aim of this paper is to provide and assess a novel gridded dataset of sea surface height anomaly and geostrophic velocity, which incorporates both the ice-covered and open ocean areas of the Arctic. Data from the CryoSat-2 mission in the period 2011–2020 were gridded at monthly intervals, up to 88<span class="inline-formula"><sup>∘</sup></span> N, using the Data-Interpolating Variational Analysis (DIVA) method. To examine the robustness of our results, we compare our dataset to independent satellite data, mooring time series and Arctic-wide hydrographic observations. We find that our dataset is well correlated with independent satellite data at monthly timescales. Comparisons to in situ ocean observations show that our dataset provides reliable information on the variability of sea surface height and surface geostrophic currents over geographically diverse regions of the Arctic Ocean and different dynamical regimes and sea ice states. At all comparison sites we find agreement with in situ observed variability at seasonal to interannual timescales. Furthermore, we find that our geostrophic velocity fields can resolve the variability of boundary currents wider than about 50 km, a result relevant for studies of Arctic Ocean circulation. Additionally, large-scale seasonal features emerge. Sea surface height exhibits a wintertime Arctic-wide maximum, with the highest amplitude over the shelves. Also, we find a basin-wide seasonal acceleration of Arctic slope currents in winter. We suggest that this dataset can be used to study not only the large-scale sea surface height and circulation, but also the regionally confined boundary currents. The dataset is available in netCDF format from PANGAEA at <a href="https://doi.org/10.1594/PANGAEA.931869">https://doi.org/10.1594/PANGAEA.931869</a> <span class="cit" id="xref_paren.1">(<a href="#bib1.bibx35">Doglioni et al.</a>, <a href="#bib1.bibx35">2021</a><a href="#bib1.bibx35">d</a>)</span>.</p>https://essd.copernicus.org/articles/15/225/2023/essd-15-225-2023.pdf |
| spellingShingle | F. Doglioni R. Ricker R. Ricker B. Rabe A. Barth C. Troupin T. Kanzow T. Kanzow Sea surface height anomaly and geostrophic current velocity from altimetry measurements over the Arctic Ocean (2011–2020) Earth System Science Data |
| title | Sea surface height anomaly and geostrophic current velocity from altimetry measurements over the Arctic Ocean (2011–2020) |
| title_full | Sea surface height anomaly and geostrophic current velocity from altimetry measurements over the Arctic Ocean (2011–2020) |
| title_fullStr | Sea surface height anomaly and geostrophic current velocity from altimetry measurements over the Arctic Ocean (2011–2020) |
| title_full_unstemmed | Sea surface height anomaly and geostrophic current velocity from altimetry measurements over the Arctic Ocean (2011–2020) |
| title_short | Sea surface height anomaly and geostrophic current velocity from altimetry measurements over the Arctic Ocean (2011–2020) |
| title_sort | sea surface height anomaly and geostrophic current velocity from altimetry measurements over the arctic ocean 2011 2020 |
| url | https://essd.copernicus.org/articles/15/225/2023/essd-15-225-2023.pdf |
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