Methods for determining topography in data sparse regions of East
Summary Large regions of East Antarctica lack a reasonable topographic model because, until recently, only a few observations of ice thickness have been available to constrain the bedrock elevation. The acquisition of GRACE satellite gravity data has created a new opportunity to model the sub-ice to...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.495.9905 2023-05-15T14:00:51+02:00 Methods for determining topography in data sparse regions of East The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.495.9905 http://pubs.usgs.gov/of/2007/1047/ea/of2007-1047ea188.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.495.9905 http://pubs.usgs.gov/of/2007/1047/ea/of2007-1047ea188.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://pubs.usgs.gov/of/2007/1047/ea/of2007-1047ea188.pdf text ftciteseerx 2016-01-08T08:46:47Z Summary Large regions of East Antarctica lack a reasonable topographic model because, until recently, only a few observations of ice thickness have been available to constrain the bedrock elevation. The acquisition of GRACE satellite gravity data has created a new opportunity to model the sub-ice topography. Here we have applied two methods for predicting topography based on the satellite data. Gravity inversion is a classical geophysical technique that predicts topography based on the physics relating it to gravity. Cokriging is a statistical method that uses the spatial covariance between datasets to predict one in the absence of the other. The geophysical and statistical solutions are compared to the best-known topography model (BEDMAP) in an area that is relatively well constrained by the BEDMAP data coverage. Text Antarc* Antarctica East Antarctica Unknown East Antarctica |
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English |
description |
Summary Large regions of East Antarctica lack a reasonable topographic model because, until recently, only a few observations of ice thickness have been available to constrain the bedrock elevation. The acquisition of GRACE satellite gravity data has created a new opportunity to model the sub-ice topography. Here we have applied two methods for predicting topography based on the satellite data. Gravity inversion is a classical geophysical technique that predicts topography based on the physics relating it to gravity. Cokriging is a statistical method that uses the spatial covariance between datasets to predict one in the absence of the other. The geophysical and statistical solutions are compared to the best-known topography model (BEDMAP) in an area that is relatively well constrained by the BEDMAP data coverage. |
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The Pennsylvania State University CiteSeerX Archives |
format |
Text |
title |
Methods for determining topography in data sparse regions of East |
spellingShingle |
Methods for determining topography in data sparse regions of East |
title_short |
Methods for determining topography in data sparse regions of East |
title_full |
Methods for determining topography in data sparse regions of East |
title_fullStr |
Methods for determining topography in data sparse regions of East |
title_full_unstemmed |
Methods for determining topography in data sparse regions of East |
title_sort |
methods for determining topography in data sparse regions of east |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.495.9905 http://pubs.usgs.gov/of/2007/1047/ea/of2007-1047ea188.pdf |
geographic |
East Antarctica |
geographic_facet |
East Antarctica |
genre |
Antarc* Antarctica East Antarctica |
genre_facet |
Antarc* Antarctica East Antarctica |
op_source |
http://pubs.usgs.gov/of/2007/1047/ea/of2007-1047ea188.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.495.9905 http://pubs.usgs.gov/of/2007/1047/ea/of2007-1047ea188.pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766270190032519168 |