Preprints
https://doi.org/10.5194/essd-2023-131
https://doi.org/10.5194/essd-2023-131
09 Jun 2023
 | 09 Jun 2023
Status: a revised version of this preprint was accepted for the journal ESSD and is expected to appear here in due course.

GNSS time series and velocities about a slow convergent margin processed on HPC clusters: products and robustness evaluation

Lavinia Tunini, Andrea Magrin, Giuliana Rossi, and David Zuliani

Abstract. Global Navigation Satellite Systems are well-known fundamental tools for crustal monitoring projects and tectonic studies, thanks to the high coverage and the high-quality data. In slow convergent margins, in particular, where the deformation rates are of the order of few mm/yr, the GNSS monitoring is beneficial to detect the diffused deformation which is responsible for the tectonic stress accrual. Its strength is the high precision reached by GNSS permanent stations, particularly if long span-data and stable monuments are available at all the stations. North-East Italy is a region which can take the most from continuous and high-precision geodetic monitoring, since it is a tectonically active region located in the northernmost sector of the Adria microplate, slowly converging with the Eurasia plate, but characterised by low deformation rates and moderate seismicity. Furthermore, this region is equipped with a permanent GNSS network providing real-time data and daily observations over two decades. The Friuli Venezia Giulia Deformation Network (FReDNet) was established in the area in 2002 to monitor crustal deformation and contribute to the regional seismic hazard assessment. This paper describes GNSS time series spanning two decades of stations located in the NE-Italy and surroundings, as well as the outcoming velocity field. The documented dataset has been retrieved by processing the GNSS observations with the GAMIT/GLOBK software ver10.71, which allows calculating high-precision coordinate time series, position and velocity for each GNSS station, and by taking advantage of the high-performance computing resources of the Italian High-Performance Computing Centre (CINECA) clusters.

The GNSS observations (raw and standard RINEX formats) and the time series estimated with the same procedure are currently daily continued, collected and stored in the framework of a long-term monitoring project. Instead, velocity solutions are planned to be updated annually. The time series and velocity field dataset documented here is available at https://doi.org/10.13120/b6aj-2s32 (Tunini et al., 2023).

Lavinia Tunini, Andrea Magrin, Giuliana Rossi, and David Zuliani

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • AC1: 'Comment on essd-2023-131', Lavinia Tunini, 23 Jun 2023
  • RC1: 'Comment on essd-2023-131', Anonymous Referee #1, 05 Jul 2023
    • AC2: 'Reply on RC1', Lavinia Tunini, 31 Jul 2023
  • RC2: 'Comment on essd-2023-131', Anonymous Referee #2, 18 Oct 2023
    • AC3: 'Reply on RC2', Lavinia Tunini, 22 Nov 2023

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • AC1: 'Comment on essd-2023-131', Lavinia Tunini, 23 Jun 2023
  • RC1: 'Comment on essd-2023-131', Anonymous Referee #1, 05 Jul 2023
    • AC2: 'Reply on RC1', Lavinia Tunini, 31 Jul 2023
  • RC2: 'Comment on essd-2023-131', Anonymous Referee #2, 18 Oct 2023
    • AC3: 'Reply on RC2', Lavinia Tunini, 22 Nov 2023
Lavinia Tunini, Andrea Magrin, Giuliana Rossi, and David Zuliani

Data sets

GNSS time series and velocities about a slow convergent margin processed on HPC clusters: products and robustness evaluation Lavinia Tunini, Andrea Magrin, Giuliana Rossi, David Zuliani https://doi.org/10.13120/b6aj-2s32

Lavinia Tunini, Andrea Magrin, Giuliana Rossi, and David Zuliani

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Short summary
In this study we present 20-years-long time-series of more than 350 GNSS stations located in NE-Italy and surroundings, and the outcoming velocities. An overview of the input data, stations information, data processing and solutions quality, is provided. The documented dataset constitutes a crucial and complete source of information about the deformation of an active but slow converging margin over the last two decades, also contributing to the regional seismic hazard assessment of NE-Italy.
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