Advancing geodynamic research in Antarctica: reprocessing GNSS data to infer consistent coordinate time series (GIANT-REGAIN)
<p>For nearly 3 decades, geodetic Global Navigation Satellite System (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...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-05-01
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| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/17/1761/2025/essd-17-1761-2025.pdf |
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| Summary: | <p>For nearly 3 decades, geodetic Global Navigation Satellite System (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 have 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 3 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 spatiotemporal coverage, promising significant advancements in future geodynamic studies in Antarctica. The data set is freely available at <a href="https://doi.org/10.1594/PANGAEA.967515">https://doi.org/10.1594/PANGAEA.967515</a> <span class="cit" id="xref_paren.1">(<a href="#bib1.bibx15">Buchta et al.</a>, <a href="#bib1.bibx15">2024</a><a href="#bib1.bibx15">a</a>)</span>.</p> |
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| ISSN: | 1866-3508 1866-3516 |