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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Main Authors: McMillan, M, Shepherd, A, Vaughan, DG, Laxon, S, McAdoo, D
Format: Article in Journal/Newspaper
Language:unknown
Published: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 2009
Subjects:
Online Access:http://discovery.ucl.ac.uk/154927/
id ftucl:oai:eprints.ucl.ac.uk.OAI2:154927
record_format openpolar
spelling 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)
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