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@ARTICLE{Scharnagl:17191,
      author       = {Scharnagl, B. and Vrugt, J.A. and Vereecken, H. and Herbst,
                      M.},
      title        = {{I}nverse modelling of in situ soil water dynamics:
                      investigating the effect of different prior distributions of
                      the soil hydraulic parameters},
      journal      = {Hydrology and earth system sciences},
      volume       = {15},
      issn         = {1027-5606},
      address      = {Katlenburg-Lindau},
      publisher    = {EGU},
      reportid     = {PreJuSER-17191},
      pages        = {3043 - 3059},
      year         = {2011},
      note         = {We thank Marius Schmidt and Karl Schneider for providing
                      the meteorological data used to define the upper boundary
                      conditions. We also acknowledge the help of Nils
                      Prolingheuer during the measurement setup and data
                      collection. The first, third, and fourth author gratefully
                      acknowledge financial support by the TERENO project and by
                      SFB/TR 32 "Patterns in Soil-Vegetation-Atmosphere Systems:
                      Monitoring, Modelling, and Data Assimilation" funded by the
                      Deutsche Forschungsgemeinschaft (DFG). We thank the four
                      anonymous referees for their insightful comments on the
                      discussion paper and Mauro Giudici for his suggestions to
                      improve our paper.},
      abstract     = {In situ observations of soil water state variables under
                      natural boundary conditions are often used to estimate the
                      soil hydraulic properties. However, many contributions to
                      the soil hydrological literature have demonstrated that the
                      information content of such data is insufficient to
                      accurately and precisely estimate all the soil hydraulic
                      parameters. In this case study, we explored to which degree
                      prior information about the soil hydraulic parameters can
                      help improve parameter identifiability in inverse modelling
                      of in situ soil water dynamics under natural boundary
                      conditions. We used percentages of sand, silt, and clay as
                      input variables to the ROSETTA pedotransfer function that
                      predicts the parameters in the van Genuchten-Mualem (VGM)
                      model of the soil hydraulic functions. To derive additional
                      information about the correlation structure of the predicted
                      parameters, which is not readily provided by ROSETTA, we
                      employed a Monte Carlo approach. We formulated three prior
                      distributions that incorporate to different extents the
                      prior information about the VGM parameters derived with
                      ROSETTA. The inverse problem was posed in a formal Bayesian
                      framework and solved using Markov chain Monte Carlo (MCMC)
                      simulation with the DiffeRential Evolution Adaptive
                      Metropolis (DREAM) algorithm. Synthetic and real-world soil
                      water content data were used to illustrate the approach. The
                      results of this study demonstrated that prior information
                      about the soil hydraulic parameters significantly improved
                      parameter identifiability and that this approach was
                      effective and robust, even in case of biased prior
                      information. To be effective and robust, however, it was
                      essential to use a prior distribution that incorporates
                      information about parameter correlation.},
      keywords     = {J (WoSType)},
      cin          = {IBG-3},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {Terrestrische Umwelt},
      pid          = {G:(DE-Juel1)FUEK407},
      shelfmark    = {Geosciences, Multidisciplinary / Water Resources},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000296745600001},
      doi          = {10.5194/hess-15-3043-2011},
      url          = {https://juser.fz-juelich.de/record/17191},
}