Amundsen Sea bathymetry: The benefits of using gravity data for bathymetric prediction
Bathymetric charts are essential for modeling oceanic processes, yet, in remote areas, direct measurements of seafloor depth are often scarce. It is possible to augment sparse depth soundings with dense satellite-derived gravity data to provide additional bathymetric detail in regions devoid of soun...
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ftnerc:oai:nora.nerc.ac.uk:17925 2023-05-15T13:23:51+02:00 Amundsen Sea bathymetry: The benefits of using gravity data for bathymetric prediction McMillan, Malcolm Shepherd, Andrew Vaughan, David G. Laxon, Seymour McAdoo, David 2009 http://nora.nerc.ac.uk/id/eprint/17925/ https://ieeexplore.ieee.org/document/5196715 unknown IEEE Geoscience and Remote Sensing Society McMillan, Malcolm; Shepherd, Andrew; Vaughan, David G. orcid:0000-0002-9065-0570 Laxon, Seymour; McAdoo, David. 2009 Amundsen Sea bathymetry: The benefits of using gravity data for bathymetric prediction. IEEE Transactions on Geosciences & Remote Sensing, 47 (12). 4223-4228. https://doi.org/10.1109/TGRS.2009.2023665 <https://doi.org/10.1109/TGRS.2009.2023665> Marine Sciences Publication - Article PeerReviewed 2009 ftnerc 2023-02-04T19:31:25Z Bathymetric charts are essential for modeling oceanic processes, yet, in remote areas, direct measurements of seafloor depth are often scarce. It is possible to augment sparse depth soundings with dense satellite-derived gravity data to provide additional bathymetric detail in regions devoid of sounding data. We demonstrate this method by using marine gravity derived from the European Remote Sensing (ERS-1) satellite altimeter, combined with depth soundings, to form a bathymetric prediction of the Amundsen Sea, West Antarctica. We estimate the root mean square error of depth estimates at unsurveyed locations in our solution to be ~120 m. We use a Monte Carlo method to assess the value of gravity as a bathymetric predictor in sparsely surveyed regions by comparing our solution to predictions formed from depth soundings alone. When less than ~11% of 10-km grid cells contain depth soundings, inclusion of gravity data improves the depth accuracy of the solution by up to 17%, as compared to a minimum curvature surface interpolation of the depth soundings alone. When depth data are sparse, our gravity-derived prediction reveals additional short-wavelength bathymetric features, such as troughs on the continental shelf, which are not resolved by interpolations of the depth soundings alone. Article in Journal/Newspaper Amundsen Sea Antarc* Antarctica West Antarctica Natural Environment Research Council: NERC Open Research Archive West Antarctica Amundsen Sea |
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Natural Environment Research Council: NERC Open Research Archive |
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topic |
Marine Sciences |
spellingShingle |
Marine Sciences McMillan, Malcolm Shepherd, Andrew Vaughan, David G. Laxon, Seymour McAdoo, David Amundsen Sea bathymetry: The benefits of using gravity data for bathymetric prediction |
topic_facet |
Marine Sciences |
description |
Bathymetric charts are essential for modeling oceanic processes, yet, in remote areas, direct measurements of seafloor depth are often scarce. It is possible to augment sparse depth soundings with dense satellite-derived gravity data to provide additional bathymetric detail in regions devoid of sounding data. We demonstrate this method by using marine gravity derived from the European Remote Sensing (ERS-1) satellite altimeter, combined with depth soundings, to form a bathymetric prediction of the Amundsen Sea, West Antarctica. We estimate the root mean square error of depth estimates at unsurveyed locations in our solution to be ~120 m. We use a Monte Carlo method to assess the value of gravity as a bathymetric predictor in sparsely surveyed regions by comparing our solution to predictions formed from depth soundings alone. When less than ~11% of 10-km grid cells contain depth soundings, inclusion of gravity data improves the depth accuracy of the solution by up to 17%, as compared to a minimum curvature surface interpolation of the depth soundings alone. When depth data are sparse, our gravity-derived prediction reveals additional short-wavelength bathymetric features, such as troughs on the continental shelf, which are not resolved by interpolations of the depth soundings alone. |
format |
Article in Journal/Newspaper |
author |
McMillan, Malcolm Shepherd, Andrew Vaughan, David G. Laxon, Seymour McAdoo, David |
author_facet |
McMillan, Malcolm Shepherd, Andrew Vaughan, David G. Laxon, Seymour McAdoo, David |
author_sort |
McMillan, Malcolm |
title |
Amundsen Sea bathymetry: The benefits of using gravity data for bathymetric prediction |
title_short |
Amundsen Sea bathymetry: The benefits of using gravity data for bathymetric prediction |
title_full |
Amundsen Sea bathymetry: The benefits of using gravity data for bathymetric prediction |
title_fullStr |
Amundsen Sea bathymetry: The benefits of using gravity data for bathymetric prediction |
title_full_unstemmed |
Amundsen Sea bathymetry: The benefits of using gravity data for bathymetric prediction |
title_sort |
amundsen sea bathymetry: the benefits of using gravity data for bathymetric prediction |
publisher |
IEEE Geoscience and Remote Sensing Society |
publishDate |
2009 |
url |
http://nora.nerc.ac.uk/id/eprint/17925/ https://ieeexplore.ieee.org/document/5196715 |
geographic |
West Antarctica Amundsen Sea |
geographic_facet |
West Antarctica Amundsen Sea |
genre |
Amundsen Sea Antarc* Antarctica West Antarctica |
genre_facet |
Amundsen Sea Antarc* Antarctica West Antarctica |
op_relation |
McMillan, Malcolm; Shepherd, Andrew; Vaughan, David G. orcid:0000-0002-9065-0570 Laxon, Seymour; McAdoo, David. 2009 Amundsen Sea bathymetry: The benefits of using gravity data for bathymetric prediction. IEEE Transactions on Geosciences & Remote Sensing, 47 (12). 4223-4228. https://doi.org/10.1109/TGRS.2009.2023665 <https://doi.org/10.1109/TGRS.2009.2023665> |
_version_ |
1766375912810479616 |