Multiresolution wavelet analysis applied to GRACE range-rate residuals

verfasst von
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.

Organisationseinheit(en)
Institut für Erdmessung
Externe Organisation(en)
Technische Universität Graz
National Aeronautics and Space Administration (NASA)
Typ
Artikel
Journal
Geoscientific Instrumentation, Methods and Data Systems
Band
8
Seiten
197-207
Anzahl der Seiten
11
ISSN
2193-0856
Publikationsdatum
15.08.2019
Publikationsstatus
Veröffentlicht
Peer-reviewed
Ja
ASJC Scopus Sachgebiete
Ozeanographie, Geologie, Atmosphärenwissenschaften
Elektronische Version(en)
https://doi.org/10.5194/gi-8-197-2019 (Zugang: Offen)
https://doi.org/10.15488/5236 (Zugang: Offen)
 

Details im Forschungsportal „Research@Leibniz University“