Preprints
https://doi.org/10.5194/essd-2024-355
https://doi.org/10.5194/essd-2024-355
02 Oct 2024
 | 02 Oct 2024
Status: this preprint is currently under review for the journal ESSD.

Advancing geodynamic research in Antarctica: Reprocessing GNSS data to infer consistent coordinate time series (GIANT-REGAIN)

Eric Buchta, Mirko Scheinert, Matt A. King, Terry Wilson, Achraf Koulali, Peter J. Clarke, Demián Gómez, Eric Kendrick, Christoph Knöfel, and Peter Busch

Abstract. For nearly three decades, geodetic GNSS measurements in Antarctica have provided direct observations of bedrock displacement, which is linked to various geodynamic processes, including plate motion, post-seismic deformation and glacial isostatic adjustment (GIA). Previous geodynamic studies in Antarctica, especially those pertaining to GIA, have been constrained by the limited availability of GNSS data. This is due to the fact that GNSS data are collected by a wide range of institutions and network operators, with the raw observational data either not publicly available or scattered across various repositories. Further, the metadata necessary for rigorous data processing has often not been available or reliable. Consequently, the potential of GNSS observations for geodynamic studies in Antarctica has not been fully exploited yet. Here, we present consistently processed coordinate time series for GNSS sites in Antarctica and the sub-Antarctic region for the time span from 1995 to 2021. The data set is composed of 286 continuous and episodic sites, with 258 sites having a time span longer than three years. The coordinate time series were obtained from a combination of four independent processing solutions using different GNSS software and products, allowing the identification of inconsistencies in individual solutions. From these, we infer a reliable and robust combined solution. A key issue was the thorough reassessment of station metadata to minimise artefacts and biases in the coordinate time series. The resulting data set provides coordinate time series with unprecedented spatio-temporal coverage, promising significant advancements in future geodynamic studies.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Eric Buchta, Mirko Scheinert, Matt A. King, Terry Wilson, Achraf Koulali, Peter J. Clarke, Demián Gómez, Eric Kendrick, Christoph Knöfel, and Peter Busch

Status: open (until 08 Nov 2024)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Eric Buchta, Mirko Scheinert, Matt A. King, Terry Wilson, Achraf Koulali, Peter J. Clarke, Demián Gómez, Eric Kendrick, Christoph Knöfel, and Peter Busch
Eric Buchta, Mirko Scheinert, Matt A. King, Terry Wilson, Achraf Koulali, Peter J. Clarke, Demián Gómez, Eric Kendrick, Christoph Knöfel, and Peter Busch

Viewed

Total article views: 62 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
56 4 2 62 3 1 1
  • HTML: 56
  • PDF: 4
  • XML: 2
  • Total: 62
  • Supplement: 3
  • BibTeX: 1
  • EndNote: 1
Views and downloads (calculated since 02 Oct 2024)
Cumulative views and downloads (calculated since 02 Oct 2024)

Viewed (geographical distribution)

Total article views: 62 (including HTML, PDF, and XML) Thereof 62 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 05 Oct 2024
Download
Short summary
For nearly three decades, geodetic GPS measurements in Antarctica have tracked bedrock displacement, vital for understanding geodynamic processes like plate motion and glacial isostatic adjustment (GIA). However, the potential of GPS data has been limited by its partially fragmented availability and unreliable metadata. A new dataset, spanning 1995–2021, offers consistently processed coordinate time series for 286 GPS sites, promising to enhance future geodynamic research.
Altmetrics