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Geoscientific Instrumentation, Methods and Data Systems An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/gi-2018-50
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-2018-50
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 15 Jan 2019

Research article | 15 Jan 2019

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This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Instrumentation, Methods and Data Systems (GI).

Multiresolution wavelet analysis applied to GRACE range rate residuals

Saniya Behzadpour1,2, Torsten Mayer-Gürr1, Jakob Flury2, Beate Klinger1, and Sujata Goswami3 Saniya Behzadpour et al.
  • 1Graz University of Technology, Institute of Geodesy, Steyrergasse 30/III, 8010 Graz, Austria
  • 2Leibniz University of Hanover, Institute of Geodesy, Schneiderberg 50, 30167 Hanover, Germany
  • 3Leibniz University of Hanover, Max Planck Institute of Gravitational Physics, Callinstrasse 38, 30167 Hanover, Germany

Abstract. For further improvements of gravity field models based on Gravity Recovery and Climate Experiment (GRACE) observations, it is necessary to identify the error sources within the recovery process. Observation residuals obtained during the gravity field recovery contain most of the measurement and modeling errors and thus can be considered as a realization of actual errors.

In this work, we investigate the ability of wavelets to help in identifying specific error sources in GRACE range rate residuals. The Multi-Resolution Analysis (MRA) using Discrete Wavelet Transform (DWT) is applied to decompose the residual signal into different scales with corresponding frequency bands. Temporal, spatial, and orbit-related features of each scale are then extracted for further investigations.

The wavelet analysis has proved to be a practical tool to find the main error contributors. Beside the previously known sources such as K-Band Ranging (KBR) system noise and systematic attitude variations, this method clearly shows effects which the classic spectral analysis is hardly able or unable to represent. These effects include long-term signatures due to satellite eclipse crossings and dominant ocean tide errors.

Saniya Behzadpour et al.
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Status: final response (author comments only)
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Saniya Behzadpour et al.
Saniya Behzadpour et al.
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Latest update: 25 Jun 2019
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Short summary
In this paper, we present an approach to represent underlying errors in measurements and physical models in the temporal gravity field determination using GRACE observations. This study provides an opportunity to improve the error model and the accuracy of the GRACE parameter estimation, as well as its successor, GRACE Follow-On.
In this paper, we present an approach to represent underlying errors in measurements and...
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