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Testing frame-transformation, gridding and filtering of GOCE gradiometer data by Least-Squares Collocation using simulated data

  • C.C. Tscherning
Part of the International Association of Geodesy Symposia book series (IAG SYMPOSIA, volume 128)

Abstract

Least-squares collocation (LSC) has been used to test frame transformation, filtering and gridding of GOCE gradiometer data. Initially the function of the GRAVSOFT program GEOCOL was checked by using noise-free data with 5 s sampling provided by IAG along a 1 month realistic orbit. Data in a 2° × 2° area was used. For these data it was verified that 0.1° frame transformation and gridding in an interior 1° × 1° area of one quantity from the same quantity could be done with an error below 5 % of the signal standard deviation. If several components of the gravity gradient were used, the error decreased slightly.

Noise with standard deviations of 0.050 and 0.150 Eötvös Units (E=10−9/s2), respectively, and a 1 s correlation distance was generated and added to the data. For the 0.050 E noise the result of the gridding was as for the data without noise, when 1 s sampling was used. For the 0.150 E data, the use of totally 2 months of simulated data and all 3 diagonal components of the gradient matrix were necessary in order to obtain a result below 10 % of the signal standard deviation. Further improvements are possible if data from a larger area or from the planned second measurement phase of GOCE are used.

Keywords

Gravity Gradient Geopotential Model Noise Standard Deviation Spherical Distance Covariance Expression 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • C.C. Tscherning
    • 1
  1. 1.Department of GeophysicsUniversity of CopenhagenCopenhagen ØDenmark

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