Access Restriction

Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Data Sparse Region ♦ Best-known Topography Model ♦ Gravity Data ♦ Sub-ice Topography ♦ Spatial Covariance ♦ Reasonable Topographic Model ♦ Ice Thickness ♦ Bedmap Data Coverage ♦ Gravity Inversion ♦ Classical Geophysical Technique ♦ Statistical Solution ♦ Statistical Method ♦ Satellite Data ♦ East Antarctica ♦ Summary Large Region ♦ Bedrock Elevation ♦ New Opportunity
Abstract 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.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study