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@INPROCEEDINGS{Gebler:150346,
      author       = {Gebler, S. and Hendricks-Franssen, H.-J. and Qu, W. and
                      Kollet, S. and Vereecken, H.},
      title        = {{M}odelling soil moisture patterns with
                      {P}ar{F}low-{CLM}:{A} comparison of high resolution model
                      simulations with a sensor network},
      reportid     = {FZJ-2014-00416},
      year         = {2013},
      abstract     = {Land surface models are used for a better understanding of
                      hydrological processes and energy fluxes of the system
                      soil-vegetation-atmosphere. However, the prediction of the
                      spatial and temporal heterogeneity of states and fluxes with
                      land surface models on small scales and high resolutions is
                      still a challenge in hydrological modelling. This work
                      focuses on the comparison of soil moisture measured by a
                      sensor network with a high spatiotemporal resolution and
                      modelled with ParFlow-CLM using different levels of model
                      complexity and spatial resolution. Developed at the Lawrence
                      Livermore National Laboratory, ParFlow is designed to
                      simulate fully saturated as well as variably saturated flow
                      fully coupled with overland flow on large scales and for
                      high spatial resolutions. On this account, ParFlow is
                      created to run in parallel on high performance computers.
                      The Community Land Model (CLM) is embedded as a module in
                      ParFlow which substitutes the soil column of CLM to improve
                      the representation of groundwater and overland flow. Like
                      other land surface models CLM describes complex processes
                      using simplifying assumptions and empirical approaches (e.
                      g. neglecting lateral exchange processes). CLM was
                      originally designed for lateral resolutions of 500 m x 500 m
                      up to several kilometers. In our project the integrated
                      model ParFlow-CLM is currently applied with lateral
                      resolutions of 10 m x 10 m, 2 m x 2 m and 1 m x 1 m to the
                      27 ha grassland TERENO test site at Rollesbroich located in
                      the Eifel (Germany). So far the effects of high resolutions
                      and different grid scales on ParFlow-CLM simulations are not
                      well examined. Within the scope of this work the impact of
                      different lateral and vertical model resolutions as well as
                      soil layer complexities of ParFlow-CLM are investigated and
                      quantified for the Rollesbroich model to find the impact on
                      the spatiotemporal soil moisture patterns. Amongst others
                      (i. e. lysimeter devices, eddy covariance towers, discharge
                      measurements etc.) the Rollesbroich study site is equipped
                      with a wireless sensor network (SoilNet ) measuring soil
                      water content and temperature delivering long term as well
                      as temporally and spatially high resolution, which allows a
                      detailed model evaluation. It is expected that an analysis
                      and quantification of the effects of model complexity and
                      resolution will improve the understanding of structural
                      model uncertainties and identify possible scaling
                      discrepancies of the model simulations on sub catchment
                      scale. This will lead to more accurate simulation results
                      for planned high resolution ParFlow-CLM Data Assimilation
                      studies for Rollesbroich and other similar study sites},
      month         = {Oct},
      date          = {2013-10-21},
      organization  = {AGU Chapman Conference on
                       Soil-mediated Drivers of Coupled
                       Biogeochemical and Hydrological
                       Processes Across Scales, Tucson (USA),
                       21 Oct 2013 - 24 Oct 2013},
      subtyp        = {Other},
      cin          = {IBG-3},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {246 - Modelling and Monitoring Terrestrial Systems: Methods
                      and Technologies (POF2-246)},
      pid          = {G:(DE-HGF)POF2-246},
      typ          = {PUB:(DE-HGF)24},
      url          = {https://juser.fz-juelich.de/record/150346},
}