Data supplement to: Active tectonics of the Circum-Pannonian region in the light of updated GNSS network data
2023-03-31 13:27:02Open - freely retrievable
In this data publication we present the set of input GNSS velocity vectors that are the base for the analysis of the velocity field and strain rate fields in Porkoláb et al. (2023). In that publication we have used GNSS-derived velocity estimates to stochastically interpolate the velocity field of the Circum-Pannonian region, using local ordinary kriging. The focus of the study is on current day deformation of the Pannonian basin, while we also extend our analysis to (parts of) the Dinarides, Eastern Alps, European foreland, East Carpathians, South Carpathians and Transylvanian basin. In subsequent steps derive strain rate and rotation rate fields, using
several quantities derived from principal strain rates.
Data include:
- Input GNSS-derived velocitities (Pannonian Basin and surroundings)
- Interpolated horizontal and vertical velocities
- Strain rates and rotation rate, principal strain rates and functions of principal strain rates
The data is provided in 4 subfolders. Detailed information about the files in these subfolders as well as information on how the data is processed is given in the explanatory file data_publication.pdf. Contact person is Taco Broerse - Researcher - D.B.T.Broerse@uu.nl
Porkoláb, K. ,Broerse, T. , Kenyeres, A., Békési, E., Tóth, S., Magyar, B., Wesztergom, V., 2023, Circum-Pannonian region in the light of updated GNSS network data, Acta Geodaetica et Geophysica
IsSupplementTo: Current datapackage is supplement to
Broerse, T., Krstekanic, N., Kasbergen, C., and Willingshofer, E. (2021). Mapping and classifying large deformation from digital imagery: application to analogue models of lithosphere deformation. Geophysical Journal International.
Kenyeres, A., Bellet, J., Bruyninx, C., Caporali, A., De Doncker, F., Droscak, B., Duret, A., Franke, P., Georgiev, I., Bingley, R., et al. (2019). Regional integration of long-term national dense GNSS network solutions. GPS Solutions, 23:1–17.
Blewitt, G., Kreemer, C., Hammond, W. C., and Gazeaux, J. (2016). MIDAS robust trend estimator for accurate GPS station velocities without step detection. Journal of Geophysical Research: Solid Earth, 121(3):2054–2068.
Altamimi, Z., Rebischung, P., Metivier, L., and Collilieux, X. (2016). ITRF2014: A newrelease of the International Terrestrial Reference Frame modeling nonlinear station motions. Journal of geophysical research: solid earth, 121(8):6109–6131.
Pina-Valdes, J., et al. (2022). 3D GNSS velocity field sheds light on the deformation mechanisms in Europe: effects of the vertical crustal motion on the distribution of seismicity. Journal of Geophysical Research: Solid Earth, 127(6):e2021JB023451.
Institute of Earth Physics and Space Science, Sopron, Hungary,
Utrecht University
Kenyeres, Ambrus
ORCID: 0000-0003-2714-6555
Lechner Non-Profit Ltd. - Satellite Geodetic Observatory, Budapest, Hungary
Békési, Eszter
ORCID: 0000-0003-3561-1656
Institute of Earth Physics and Space Science, Sopron, Hungary
Tóth, Sándor
ORCID: 0000-0001-8445-9027
Lechner Non-Profit Ltd. - Satellite Geodetic Observatory, Budapest, Hungary,
Budapest University of Technology, Department of Geodesy and Surveying, Faculty of Civil Engineering, Budapest, Hungary
Magyar, Bálint
Author identifier (Scopus): 36496958500
Lechner Non-Profit Ltd. - Satellite Geodetic Observatory, Budapest, Hungary,
Budapest University of Technology, Department of Geodesy and Surveying, Faculty of Civil Engineering, Budapest, Hungary
Wesztergom, Viktor
Author identifier (Scopus): 6603041201
Institute of Earth Physics and Space Science, Sopron, Hungary
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