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@ARTICLE{Fang:820862,
      author       = {Fang, Zhufeng and Bogena, Heye and Kollet, Stefan and
                      Vereecken, Harry},
      title        = {{S}cale dependent parameterization of soil hydraulic
                      conductivity in 3{D} simulation of hydrological processes in
                      a forested headwater catchment},
      journal      = {Journal of hydrology},
      volume       = {536},
      issn         = {0022-1694},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2016-06126},
      pages        = {365 - 375},
      year         = {2016},
      abstract     = {In distributed hydrological modelling one often faces the
                      problem that input data need to be aggregated to match the
                      model resolution. However, aggregated data may be too coarse
                      for the parametrization of the processes represented. This
                      dilemma can be circumvented by the adjustment of certain
                      model parameters. For instance, the reduction of local
                      hydraulic gradients due to spatial aggregation can be
                      partially compensated by increasing soil hydraulic
                      conductivity. In this study, we employed the information
                      entropy concept for the scale dependent parameterization of
                      soil hydraulic conductivity. The loss of information content
                      of terrain curvature as consequence of spatial aggregation
                      was used to determine an amplification factor for soil
                      hydraulic conductivity to compensate the resulting
                      retardation of water flow. To test the usefulness of this
                      approach, continuous 3D hydrological simulations were
                      conducted with different spatial resolutions in the highly
                      instrumented Wüstebach catchment, Germany. Our results
                      indicated that the introduction of an amplification factor
                      can effectively improve model performances both in terms of
                      soil moisture and runoff simulation. However, comparing
                      simulated soil moisture pattern with observation indicated
                      that uniform application of an amplification factor can lead
                      to local overcorrection of soil hydraulic conductivity. This
                      problem could be circumvented by applying the amplification
                      factor only to model grid cells that suffer from high
                      information loss. To this end, we tested two schemes to
                      define appropriate location-specific correction factors.
                      Both schemes led to improved model performance both in terms
                      of soil water content and runoff simulation. Thus, we
                      anticipate that our proposed scaling approach is useful for
                      the application of next-generation hyper-resolution global
                      land surface models},
      cin          = {IBG-3},
      ddc          = {690},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255)},
      pid          = {G:(DE-HGF)POF3-255},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000374811200030},
      doi          = {10.1016/j.jhydrol.2016.03.020},
      url          = {https://juser.fz-juelich.de/record/820862},
}