% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Rings:9700,
      author       = {Rings, J. and Huisman, J. A. and Vereecken, H.},
      title        = {{C}oupled hydrogeophysical parameter estimation using a
                      sequential {B}ayesian approach},
      journal      = {Hydrology and earth system sciences},
      volume       = {14},
      issn         = {1027-5606},
      address      = {Katlenburg-Lindau},
      publisher    = {EGU},
      reportid     = {PreJuSER-9700},
      pages        = {545 - 556},
      year         = {2010},
      note         = {We thank the reviewers for their constructive comments. J.
                      Rings thanks the BAW Karlsruhe for the possibility to take
                      measurements on the dike model and A. Scheuermann and A.
                      Bieberstein at the IBF, University of Karlsruhe, for
                      supporting the measurements. J. A. Huisman is supported by
                      grant HU1312/21 of the Deutsche Forschungsgemeinschaft.},
      abstract     = {Coupled hydrogeophysical methods infer hydrological and
                      petrophysical parameters directly from geophysical
                      measurements. Widespread methods do not explicitly recognize
                      uncertainty in parameter estimates. Therefore, we apply a
                      sequential Bayesian framework that provides updates of
                      state, parameters and their uncertainty whenever
                      measurements become available. We have coupled a
                      hydrological and an electrical resistivity tomography (ERT)
                      forward code in a particle filtering framework. First, we
                      analyze a synthetic data set of lysimeter infiltration
                      monitored with ERT. In a second step, we apply the approach
                      to field data measured during an infiltration event on a
                      full-scale dike model. For the synthetic data, the water
                      content distribution and the hydraulic conductivity are
                      accurately estimated after a few time steps. For the field
                      data, hydraulic parameters are successfully estimated from
                      water content measurements made with spatial time domain
                      reflectometry and ERT, and the development of their
                      posterior distributions is shown.},
      keywords     = {J (WoSType)},
      cin          = {ICG-4 / JARA-ENERGY / JARA-HPC},
      ddc          = {550},
      cid          = {I:(DE-Juel1)VDB793 / $I:(DE-82)080011_20140620$ /
                      $I:(DE-82)080012_20140620$},
      pnm          = {Terrestrische Umwelt},
      pid          = {G:(DE-Juel1)FUEK407},
      shelfmark    = {Geosciences, Multidisciplinary / Water Resources},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000276178100012},
      doi          = {10.5194/hess-14-545-2010},
      url          = {https://juser.fz-juelich.de/record/9700},
}