On the Reduction of Gravity Data for the Prediction of the Gravity Disturbance Vector at Altitudes.
Abstract
Various methods exist for the prediction of the gravity disturbance vector at high altitudes: surface layer approaches; collocation; analytical downward continuation combined with Pizzetti-Stokes upward continuation, and others, the latter one being particularly well-suited for real world applications. Related to that technique, gravity anomaly prediction at zero level, data reduction procedures in terms of topographic-isostatic reduction, direct and indirect effects of upward continuation are discussed with a strong emphasis on applications in the 'pathological' case of mountainous areas. Special attention is given to the error budget and its numerous components. Keywords: Analytical continuation; Digital terrain model; Topographic-isostatic reduction; mean gravity anomalies; Least-squares collocation.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 1984
- Accession Number
- ADA160358
Entities
People
- H. Suenkel
Organizations
- Ohio State University