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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2009
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ftucl:oai:eprints.ucl.ac.uk.OAI2:154927 2023-05-15T13:23:53+02:00 Amundsen Sea Bathymetry: The Benefits of Using Gravity Data for Bathymetric Prediction McMillan, M Shepherd, A Vaughan, DG Laxon, S McAdoo, D 2009-12 http://discovery.ucl.ac.uk/154927/ unknown IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC IEEE T GEOSCI REMOTE , 47 (12) 4223 - 4228. (2009) Altimetry Arctic regions gravity measurement satellites sea floor terrain mapping ANTARCTIC ICE-SHEET ERS-1 SATELLITE ALTIMETRY MARINE GRAVITY EXPERIMENTAL ISOSTASY FIELD OCEAN Article 2009 ftucl 2016-01-21T23:11:26Z 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 similar to 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 similar to 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* Antarctic Antarctica Arctic Ice Sheet West Antarctica University College London: UCL Discovery Amundsen Sea Antarctic Arctic West Antarctica |
institution |
Open Polar |
collection |
University College London: UCL Discovery |
op_collection_id |
ftucl |
language |
unknown |
topic |
Altimetry Arctic regions gravity measurement satellites sea floor terrain mapping ANTARCTIC ICE-SHEET ERS-1 SATELLITE ALTIMETRY MARINE GRAVITY EXPERIMENTAL ISOSTASY FIELD OCEAN |
spellingShingle |
Altimetry Arctic regions gravity measurement satellites sea floor terrain mapping ANTARCTIC ICE-SHEET ERS-1 SATELLITE ALTIMETRY MARINE GRAVITY EXPERIMENTAL ISOSTASY FIELD OCEAN McMillan, M Shepherd, A Vaughan, DG Laxon, S McAdoo, D Amundsen Sea Bathymetry: The Benefits of Using Gravity Data for Bathymetric Prediction |
topic_facet |
Altimetry Arctic regions gravity measurement satellites sea floor terrain mapping ANTARCTIC ICE-SHEET ERS-1 SATELLITE ALTIMETRY MARINE GRAVITY EXPERIMENTAL ISOSTASY FIELD OCEAN |
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 similar to 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 similar to 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, M Shepherd, A Vaughan, DG Laxon, S McAdoo, D |
author_facet |
McMillan, M Shepherd, A Vaughan, DG Laxon, S McAdoo, D |
author_sort |
McMillan, M |
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-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
publishDate |
2009 |
url |
http://discovery.ucl.ac.uk/154927/ |
geographic |
Amundsen Sea Antarctic Arctic West Antarctica |
geographic_facet |
Amundsen Sea Antarctic Arctic West Antarctica |
genre |
Amundsen Sea Antarc* Antarctic Antarctica Arctic Ice Sheet West Antarctica |
genre_facet |
Amundsen Sea Antarc* Antarctic Antarctica Arctic Ice Sheet West Antarctica |
op_source |
IEEE T GEOSCI REMOTE , 47 (12) 4223 - 4228. (2009) |
_version_ |
1766376070198591488 |