Amundsen sea bathymetry:The benefits of using gravity data for bathymetric prediction

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

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Abstract

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.

Item Type:
Journal Article
Journal or Publication Title:
IEEE Transactions on Geoscience and Remote Sensing
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2200/2208
Subjects:
ID Code:
128846
Deposited By:
Deposited On:
06 Nov 2018 09:26
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Jan 2020 11:38