A new repository of electrical resistivity tomography and ground penetrating radar data from summer 2022 near Ny-Ålesund, Svalbard

We present the geophysical data set acquired in the summer of 2022 close to Ny-Ålesund (Western Svalbard, Brøggerhalvøya peninsula – Norway) as part of the project ICEtoFLUX. The aim of the investigation is to characterize the role of groundwater flow in correspondence of the active layer as well as...

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Bibliographic Details
Main Authors: Pace, Francesca, Vergnano, Andrea, Godio, Alberto, Romano, Gerardo, Capozzoli, Luigi, Baneschi, Ilaria, Doveri, Marco, Santilano, Alessandro
Format: Text
Language:English
Published: 2024
Subjects:
Online Access:https://doi.org/10.5194/essd-2023-461
https://essd.copernicus.org/preprints/essd-2023-461/
Description
Summary:We present the geophysical data set acquired in the summer of 2022 close to Ny-Ålesund (Western Svalbard, Brøggerhalvøya peninsula – Norway) as part of the project ICEtoFLUX. The aim of the investigation is to characterize the role of groundwater flow in correspondence of the active layer as well as through and/or below the permafrost. The data set is composed of Electrical Resistivity Tomography (ERT) and Ground Penetrating Radar (GPR) surveys, which are well-known geophysical techniques for the characterization of glacial and hydrological processes and features. 18 ERT profiles and 10 GPR lines were acquired, for a total surveyed length of 9.3 km. The data have been organized in a consistent repository that includes both raw and processed (filtered) data. Some representative examples of 2D models of the subsurface are provided, that is, 2D sections of electrical resistivity (from ERT) and 2D radargrams (from GPR). These examples can support the identification of the active layer. The data set is of major relevance because there is little geophysical data published about the Ny-Ålesund area. Moreover, these geophysical data can foster multidisciplinary scientific collaborations in the fields of hydrology, glaciology, climate, geology, geomorphology, etc. The geophysical data are provided in a free repository and can be accessed at the repository under data doi (Pace et al., 2023, https://zenodo.org/doi/10.5281/zenodo.10260056 ).