Published November 14, 2023 | Version v1
Dataset Open

Seismic investigation of an Arctic glacier accelerating under climate warming

Creators

  • 1. ROR icon University of Oslo

Contributors

Project leader:

  • 1. ROR icon University of Oslo

Description

The data shared here at the one used in the associated paper. They focus on the Arctic glacier Kongsvegen (check location here: https://toposvalbard.npolar.no/), in Svalbard and are linked to the mammamia project (https://www.mn.uio.no/geo/english/research/projects/mammamia/). They are composed of DEM, modelled runoff and seismic measurements. All the processing is detailed in the associated paper. Please cite both the paper and the dataset when using this data. Feel free to reach out if needed.

  • DEM_dataset_Nanni: glacier surface elevation from 2013 to 2022, glacier bed elevation, dh/dt from 2000 to 2020 (from https://www.theia-land.fr/product/altitude-des-glaciers/). Format: georeferenced .tif.
  • runoff_1992to2022: runoff at a 3 hour time step at grid point specified by lat, lon and time specified by time. Data is processed following https://doi.org/10.5194/tc-17-2941-2023. Format: .txt tab separated
  • PSD_NANNI: contains all power spectral density of all seismic stations from 2018 to 2023 for the vertical component. For each year and each station there are 3 files: frequency (frequency at which was computed the PSD), time (time at which was computed the PSD) and the PSD file that contains the PSD value at each (time,frequency) pair. Do not pay attention at the terms corr or resampled in the files names. Note that not all stations have continuous record. KNG stations are for the period 2018-2019, KGS for 2020-2023. Format: .txt tab separated.
  • PSD_KGS_figure: plotted PSD for each year-station pair for the vertical component.
  • METADATA_NANNI: contains the stations location and the group to which their belong.
  • ICEQUAKE_NANNI: contains the time (time), amplitude (mean and median) and rate (rate in event per hour) of the icequake detection for each station (stations). Format: .txt tab separated. This was computed with STA/LTA, see paper for details.

 

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DEM_dataset_NANNI.zip

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