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@ARTICLE{Gebler:828155,
      author       = {Gebler, Sebastian and Hendricks-Franssen, Harrie-Jan and
                      Kollet, Stefan and Qu, Wei and Vereecken, Harry},
      title        = {{H}igh resolution modelling of soil moisture patterns with
                      {T}err{S}ys{MP}: {A} comparison with sensor network data},
      journal      = {Journal of hydrology},
      volume       = {547},
      issn         = {0022-1694},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2017-02123},
      pages        = {309–331},
      year         = {2017},
      abstract     = {The prediction of the spatial and temporal variability of
                      land surface states and fluxes with land surface models at
                      high spatial resolution is still a challenge. This study
                      compares simulation results using TerrSysMP including a 3D
                      variably saturated groundwater flow model (ParFlow) coupled
                      to the Community Land Model (CLM) of a 38 ha managed
                      grassland head-water catchment in the Eifel (Germany), with
                      soil water content (SWC) measurements from a wireless sensor
                      network, actual evapotranspiration recorded by lysimeters
                      and eddy covariance stations and discharge observations.
                      TerrSysMP was discretized with a 10 × 10 m lateral
                      resolution, variable vertical resolution (0.025–0.575 m),
                      and the following parameterization strategies of the
                      subsurface soil hydraulic parameters: (i) completely
                      homogeneous, (ii) homogeneous parameters for different soil
                      horizons, (iii) different parameters for each soil unit and
                      soil horizon and (iv) heterogeneous stochastic realizations.
                      Hydraulic conductivity and Mualem-Van Genuchten parameters
                      in these simulations were sampled from probability density
                      functions, constructed from either (i) soil texture
                      measurements and Rosetta pedotransfer functions (ROS), or
                      (ii) estimated soil hydraulic parameters by 1D inverse
                      modelling using shuffle complex evolution (SCE).The results
                      indicate that the spatial variability of SWC at the scale of
                      a small headwater catchment is dominated by topography and
                      spatially heterogeneous soil hydraulic parameters. The
                      spatial variability of the soil water content thereby
                      increases as a function of heterogeneity of soil hydraulic
                      parameters. For lower levels of complexity, spatial
                      variability of the SWC was underrepresented in particular
                      for the ROS-simulations. Whereas all model simulations were
                      able to reproduce the seasonal evapotranspiration
                      variability, the poor discharge simulations with high model
                      bias are likely related to short-term ET dynamics and the
                      lack of information about bedrock characteristics and an
                      on-site drainage system in the uncalibrated model. In
                      general, simulation performance was better for the SCE
                      setups. The SCE-simulations had a higher inverse air entry
                      parameter resulting in SWC dynamics in better correspondence
                      with data than the ROS simulations during dry periods. This
                      illustrates that small scale measurements of soil hydraulic
                      parameters cannot be transferred to the larger scale and
                      that interpolated 1D inverse parameter estimates result in
                      an acceptable performance for the catchment.},
      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:000398871100023},
      doi          = {10.1016/j.jhydrol.2017.01.048},
      url          = {https://juser.fz-juelich.de/record/828155},
}