On the Reduction of Gravity Data for the Prediction of the Gravity Disturbance Vector at Altitudes.
OHIO STATE UNIV COLUMBUS DEPT OF GEODETIC SCIENCE AND SURVEYING
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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.