Comparison of Potential Coefficient Determinations with 5 deg and 1 deg Anomalies,

Abstract

Potential coefficients can be derived from mean gravity anomalies, satellite data analysis, or a combination of both data types. In using gravity data, a choice of the size of the mean anomaly block to use must be made. Usually this has been 5 deg equal area blocks as opposed to smaller size blocks such as 1 deg x 1 deg. Tests are described in this paper that have been made using 1 deg x 1 deg anomalies and 5 deg anomalies that are consistent with the 1 deg data. Potential coefficients have been determined with just the anomaly data, and the anomaly data in combination with the GEM 9 potential coefficients. In the combination solution the average percentage difference between the solutions using the two anomaly sizes was 29%. The root mean square undulation difference was + or - 1.1 m and the root mean square anomaly difference was + or - 3.8 mgals. These differences are caused by the perturbation of the low frequency information by the high frequency information in the mean anomaly blocks. These differences suggest that for the highest accuracy, even if coefficients just to degree 36 are sought, 1 deg x 1 deg anomaly blocks should be used. We have also examined an approximate technique for the combination solution using 1 deg x 1 deg data that requires a significantly less amount of computer time than the rigorous solution. In comparing two 180 x 180 fields from a rigorous and approximate adjustment we found an average percentage difference of 9%; a RMS undulation difference of 0.8 m; and a RMS anomaly difference of 2 mgals. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1980
Accession Number
ADA089046

Entities

People

  • Richard H. Rapp

Organizations

  • Ohio State University

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Air Force Facilities
  • Artificial Satellites
  • Coefficients
  • Computers
  • Data Analysis
  • Data Sets
  • Equations
  • Frequency
  • Gravity
  • Gravity Anomalies
  • Perturbations
  • Residuals
  • Standards
  • Undulation
  • Universities

Readers

  • Aerodynamics/Aeronautics.
  • Atmospheric Science/Meteorology
  • Regression Analysis.

Technology Areas

  • Space
  • Space - Orbital Debris