Published August 29, 2024 | Version v1
Dataset Open

Dataset for the publication "Superconducting gravimeter observations show that satellite-derived snow depth image improves the simulation of the snow water equivalent evolution in a high alpine site"

  • 1. BOKU University
  • 2. ROR icon Centre National de la Recherche Scientifique
  • 3. ROR icon Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences
  • 4. TU Berlin

Description

This datasset contains data to reproduce the following figures of the paper Superconducting gravimeter observations show that satellite-derived snow depth image improves the simulation of the snow water equivalent evolution in a high alpine site:

  • Time series data of Figures 1c and 2

  • Data (*.asc) used for plotting Figures 1d and 1e (as well as Figure S3 and S4)

  • Pléiades snow depth map (Figure S1)
  • Data used for plotting Figure S2

 

Files

Figure1c_HS_SWE_stations_obs_RUN0_RUN1_satellite.txt

Files (17.7 MB)

Additional details

Funding

FWF Austrian Science Fund
Gravity-Monitoring for Alpine Research Catchment Hydrology 10.55776/I6489