https://doi.org/10.25678/000161

Data for: Data Assimilation and Online Parameter Optimization in Groundwater Modeling using Nested Particle Filters

Since the output files for this publication were in excess of 300GB, this repository contains the python scripts required to re-create the output files for the corresponding publication. If you only need the output files directly, the first author can send you a hard drive with the raw output upon request.

Data and Resources

Citation

This Data Package

Ramgraber, M., Albert, C., & Schirmer, M. (2019). Data for: Data Assimilation and Online Parameter Optimization in Groundwater Modeling using Nested Particle Filters. Eawag: Swiss Federal Institute of Aquatic Science and Technology. https://doi.org/10.25678/000161
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The associated article

Ramgraber, M., C. Albert, and M. Schirmer (2019), Data Assimilation and Online Parameter Optimization in Groundwater Modeling using Nested Particle Filters, Water Resources Research, doi:10.1029/2018wr024408.
RIS BibTeX Citeproc JSON

Metadata

  Publication Data Package for:
Open Data Open Data
Author
  • Ramgraber, Max
  • Albert, Carlo
  • Schirmer, Mario
Keywords groundwater,hydrogeology,modelling,particle filter,data assimilation
Timerange
  • *
Review Level none
Curator Ramgraber, Max
Contact max.ramgraber@eawag.ch
DOI 10.25678/000161