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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| Format: | Text |
| Language: | English |
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| Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.495.9905 http://pubs.usgs.gov/of/2007/1047/ea/of2007-1047ea188.pdf |
| Summary: | 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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