Released
Dataset
The Pan-Alpine gravity database 2020
Cite as:
Zahorec, Pavol; Papčo, Juraj; Pašteka, Roman; Bielik, Miroslav; Bonvalot, Sylvain; Braitenberg, Carla; Ebbing, Jörg; Gabriel, Gerald; Gosar, Andrej; Grand, Adam; Götze, Hans-Jürgen; Hetényi, György; Holzrichter, Nils; Kissling, Edi; Marti, Urs; Meurers, Bruno; Mrlina, Jan; Pastorutti, Alberto; Scarponi, Matteo; Sebera, Josef; Seoane, Lucia; Skiba, Peter; Szűcs, Eszter; Varga, Matej (2020): The Pan-Alpine gravity database 2020. GFZ Data Services. https://doi.org/10.5880/fidgeo.2020.045Status
I N R E V I E W : Zahorec, Pavol; Papčo, Juraj; Pašteka, Roman; Bielik, Miroslav; Bonvalot, Sylvain; Braitenberg, Carla; Ebbing, Jörg; Gabriel, Gerald; Gosar, Andrej; Grand, Adam; Götze, Hans-Jürgen; Hetényi, György; Holzrichter, Nils; Kissling, Edi; Marti, Urs; Meurers, Bruno; Mrlina, Jan; Pastorutti, Alberto; Scarponi, Matteo; Sebera, Josef; Seoane, Lucia; Skiba, Peter; Szűcs, Eszter; Varga, Matej (2020): The Pan-Alpine gravity database 2020. GFZ Data Services. https://doi.org/10.5880/fidgeo.2020.045Abstract
This data publication is a new compilation of land gravity data expressing the Earth’s gravitational acceleration field on the broader area of the European Alps. The dataset is based on national databases from 10 countries, but surmounts any barriers related to national reference systems. The input to this dataset is the largest Alpine compilation of point-wise data on land ever, and also includes marine data in adjacent regions in the Mediterranean Sea. Following quality control, this represents a total of 349’938 terrestrial gravity points and about 700’000 marine stations. Only such a dataset allows to investigate the Alpine orogen from shallow (sedimentary) to large (mantle) depths, which is among the primary goals of the AlpArray science program.Broad effort to collect all existing, public and private, point-based gravity data in the area of interest: 2-23°E, 41-51°N. The final, published grids are shared with the community on a 4*4 km2 grid; the results on 2*2 km2 grid are available upon request and approval from the group.
We developed and fine-tuned an approach in which all raw data could be processed in the same, homogeneous way. Outliers were discarded. Full details are given in the reference publication (Zahorec et al., 2020).
Authors
Contact
- Zahorec, Pavol; Slovak Academy of Sciences, Bratislava, Slovakia;
- Götze, Hans-Jürgen; Institute of Geosciences, Christian Albrechts University Kiel, Kiel, Germany;
- Hetényi, György; Institute of Earth Sciences, University of Lausanne, Lausanne, Switzerland;
Keywords
AlpArrayGCMD Science Keywords
Location
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