https://doi.org/10.25678/0001e9

Data for: Quasi‐Online Groundwater Model Optimization Under Constraints of Geological Consistency Based on Iterative Importance Sampling

This repository contains the source code and output files for the corresponding publication. Unfortunately, the reproduction also requires a DeeSse license. The latter can be obtained free of charge for academic purposes on http://www.randlab.org/research/deesse/.

Dataset extent

Data and Resources

Citation

This Data Package

Ramgraber, M., Camporese, M., Renard, P., Salandin, P., & Schirmer, M. (2020). Data for: Quasi‐Online Groundwater Model Optimization Under Constraints of Geological Consistency Based on Iterative Importance Sampling (Version 1.0). Eawag: Swiss Federal Institute of Aquatic Science and Technology. https://doi.org/10.25678/0001E9

The associated article

Ramgraber, M., M. Camporese, P. Renard, P. Salandin, and M. Schirmer (2020), Quasi‐Online Groundwater Model Optimization Under Constraints of Geological Consistency Based on Iterative Importance Sampling, Water Resources Research, 56(6), doi:10.1029/2019wr026777.

Metadata

Open Data Open Data
Author(s)
  • Ramgraber, Maximilian
  • Camporese, Matteo
  • Renard, Philippe
  • Salandin, Paolo
  • Schirmer, Mario
Keywords IBIS,FloPY,DeeSse,multi-point statistics,MODFLOW,Particle Filters
Variables
  • groundwater_recharge_rate
  • hydraulic_conductivity
  • precipitation
  • waterlevel
Systems
  • groundwater
  • meteorological station
  • river
  • sediments
Timerange
  • 2009 TO 2014
Geographic Name(s)
  • Settolo, Italy
Review Level domain specific
Curator Ramgraber, Max
Contact max.ramgraber@eawag.ch
DOI 10.25678/0001e9