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...
Published in: | IEEE Transactions on Geoscience and Remote Sensing |
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ftulancaster:oai:eprints.lancs.ac.uk:128846 2023-08-27T04:03:52+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 2009-12-01 https://eprints.lancs.ac.uk/id/eprint/128846/ https://doi.org/10.1109/TGRS.2009.2023665 unknown McMillan, Malcolm and Shepherd, Andrew and Vaughan, David G. and Laxon, Seymour and McAdoo, David (2009) Amundsen sea bathymetry:The benefits of using gravity data for bathymetric prediction. IEEE Transactions on Geoscience and Remote Sensing, 47 (12). pp. 4223-4228. ISSN 0196-2892 Journal Article PeerReviewed 2009 ftulancaster https://doi.org/10.1109/TGRS.2009.2023665 2023-08-03T22:34:21Z 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 Lancaster University: Lancaster Eprints Amundsen Sea West Antarctica IEEE Transactions on Geoscience and Remote Sensing 47 12 4223 4228 |
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Lancaster University: Lancaster Eprints |
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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 |
spellingShingle |
McMillan, Malcolm Shepherd, Andrew Vaughan, David G. Laxon, Seymour McAdoo, David Amundsen sea bathymetry:The benefits of using gravity data for bathymetric prediction |
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 |
publishDate |
2009 |
url |
https://eprints.lancs.ac.uk/id/eprint/128846/ https://doi.org/10.1109/TGRS.2009.2023665 |
geographic |
Amundsen Sea West Antarctica |
geographic_facet |
Amundsen Sea West Antarctica |
genre |
Amundsen Sea Antarc* Antarctica West Antarctica |
genre_facet |
Amundsen Sea Antarc* Antarctica West Antarctica |
op_relation |
McMillan, Malcolm and Shepherd, Andrew and Vaughan, David G. and Laxon, Seymour and McAdoo, David (2009) Amundsen sea bathymetry:The benefits of using gravity data for bathymetric prediction. IEEE Transactions on Geoscience and Remote Sensing, 47 (12). pp. 4223-4228. ISSN 0196-2892 |
op_doi |
https://doi.org/10.1109/TGRS.2009.2023665 |
container_title |
IEEE Transactions on Geoscience and Remote Sensing |
container_volume |
47 |
container_issue |
12 |
container_start_page |
4223 |
op_container_end_page |
4228 |
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1775347211431837696 |