Abstract
We described a spatio-temporal analysis of environmental loading models: atmospheric, continental hydrology, and non-tidal ocean changes, based on multichannel singular spectrum analysis (MSSA). We extracted the common annual signal for 16 different sections related to climate zones: equatorial, arid, warm, snow, polar and continents. We used the loading models estimated for a set of 229 ITRF2014 (International Terrestrial Reference Frame) International GNSS Service (IGS) stations and discussed the amount of variance explained by individual modes, proving that the common annual signal accounts for 16, 24 and 68% of the total variance of non-tidal ocean, atmospheric and hydrological loading models, respectively. Having removed the common environmental MSSA seasonal curve from the corresponding GPS position time series, we found that the residual station-specific annual curve modelled with the least-squares estimation has the amplitude of maximum 2 mm. This means that the environmental loading models underestimate the seasonalities observed by the GPS system. The remaining signal present in the seasonal frequency band arises from the systematic errors which are not of common environmental or geophysical origin. Using common mode error (CME) estimates, we showed that the direct removal of environmental loading models from the GPS series causes an artificial loss in the CME power spectra between 10 and 80 cycles per year. When environmental effect is removed from GPS series with MSSA curves, no influence on the character of spectra of CME estimates was noticed.
Chapter PDF
Similar content being viewed by others
Change history
20 October 2018
The below mentioned chapters were published as Open access with incorrect Copyright holder name as “© Springer Nature Switzerland AG”. This has now been updated as “© The Author(s)” in these chapters. Accordingly, the Cover and the FrontMatter have been updated to reflect these changes.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
This chapter is published under an open access license. Please check the 'Copyright Information' section either on this page or in the PDF for details of this license and what re-use is permitted. If your intended use exceeds what is permitted by the license or if you are unable to locate the licence and re-use information, please contact the Rights and Permissions team.
Copyright information
© 2019 The Author(s)
About this chapter
Cite this chapter
Gruszczynska, M., Rosat, S., Klos, A., Gruszczynski, M., Bogusz, J. (2019). Multichannel Singular Spectrum Analysis in the Estimates of Common Environmental Effects Affecting GPS Observations. In: Braitenberg, C., Rossi, G., Geodynamics and Earth Tides Editor group (eds) Geodynamics and Earth Tides Observations from Global to Micro Scale. Pageoph Topical Volumes. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-96277-1_17
Download citation
DOI: https://doi.org/10.1007/978-3-319-96277-1_17
Published:
Publisher Name: Birkhäuser, Cham
Print ISBN: 978-3-319-96276-4
Online ISBN: 978-3-319-96277-1
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)