Multiresolution wavelet analysis applied to GRACE range-rate residuals

authored by: Saniya Behzadpour, Torsten Mayer-Gürr, Jakob Flury, Beate Klinger, Sujata Goswami
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 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 multiresolution 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 proven to be a practical tool to find the main error contributors. Besides 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.
Organisation(s): Institute of Geodesy
External Organisation(s): Graz University of Technology
National Aeronautics and Space Administration (NASA)
Type: Article
Journal: Geoscientific Instrumentation, Methods and Data Systems
Volume: 8
Pages: 197-207
No. of pages: 11
ISSN: 2193-0856
Publication date: 15.08.2019
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Oceanography, Geology, Atmospheric Science
Electronic version(s): https://doi.org/10.5194/gi-8-197-2019 (Access: Open)
https://doi.org/10.15488/5236 (Access: Open)
: Details in the research portal "Research@Leibniz University"

BibTeX

@article{fb7e721fbbbc4216b07a43faf69cd54b,
title = "Multiresolution wavelet analysis applied to GRACE range-rate residuals",
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 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 multiresolution 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 proven to be a practical tool to find the main error contributors. Besides 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.",
author = "Saniya Behzadpour and Torsten Mayer-G{\"u}rr and Jakob Flury and Beate Klinger and Sujata Goswami",
year = "2019",
month = aug,
day = "15",
doi = "10.5194/gi-8-197-2019",
language = "English",
volume = "8",
pages = "197--207",
journal = "Geoscientific Instrumentation, Methods and Data Systems",
issn = "2193-0856",
publisher = "Copernicus Gesellschaft mbH",
number = "2",
}