Global Navigation Satellite System (GNSS) time series and velocities about a slowly convergent margin processed on high-performance computing (HPC) clusters: products and robustness evaluation

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

doi:https://doi.org/10.5194/essd-16-1083-2024

Articles | Volume 16, issue 2

https://doi.org/10.5194/essd-16-1083-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-16-1083-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 2

Data description paper

|

27 Feb 2024

Data description paper |

| 27 Feb 2024

Global Navigation Satellite System (GNSS) time series and velocities about a slowly convergent margin processed on high-performance computing (HPC) clusters: products and robustness evaluation

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

Data sets

2022.OGS.GPS.solution: GNSS time series and velocities about a slow convergent margin processed on HPC clusters: products and robustness evaluation Lavinia Tunini et al. https://doi.org/10.5281/zenodo.8055800

Friuli Regional Deformation Network Data Center OGS https://doi.org/10.6092/frednet

Short summary

This study presents 20-year time series of more than 350 GNSS stations located in NE Italy and surroundings, together with the outgoing velocities. An overview of the input data, station information, data processing and solution quality is provided. The documented dataset constitutes a crucial and complete source of information about the deformation of an active but slowly converging margin over the last 2 decades, also contributing to the regional seismic hazard assessment of NE Italy.