https://doi.org/10.25678/00035V

Data for: Non‐Gaussian parameter inference for hydrogeological models using Stein Variational Gradient Descent

This package includes the data and Python files for the publication "Non‐Gaussian parameter inference for hydrogeological models using Stein Variational Gradient Descent".

Dataset extent

Data and Resources

Citation

This Data Package

Ramgraber, M., Weatherl, R., Blumensaat, F., & Schirmer, M. (2021). Data for: Non‐Gaussian parameter inference for hydrogeological models using Stein Variational Gradient Descent (Version 1.0) [Data set]. Eawag: Swiss Federal Institute of Aquatic Science and Technology. https://doi.org/10.25678/00035V

The associated article

Ramgraber, M., Weatherl, R., Blumensaat, F., & Schirmer, M. (2021). Non‐Gaussian parameter inference for hydrogeological models using Stein Variational Gradient Descent. Water Resources Research. https://doi.org/10.1029/2020wr029339

Metadata

Open Data Open Data
Author(s)
  • Ramgraber, M.
  • Weatherl, R.
  • Blumensaat, F.
  • Schirmer, M.
Keywords groundwater,hydrogeology,modelling,Bayesian inference,SVGD,Stein Variational Gradient Descent,Jacobian,ensemble-based,Bayesian statistics,non-Gaussian,modeling
Variables
  • precipitation
  • waterlevel
Systems
  • aquifer
  • groundwater
  • river
Timerange
  • 2017-06 TO 2018-12
Geographic Name(s)
  • Fehraltorf
Review Level none
Curator Ramgraber, Max
Contact max.ramgraber@eawag.ch
DOI 10.25678/00035V