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@PHDTHESIS{Gebler:858696,
      author       = {Gebler, Sebastian},
      title        = {{I}nverse conditioning of a high resolution integrated
                      terrestrial model at the hillslope scale: the role of input
                      data quality and model structural errors},
      volume       = {444},
      school       = {RWTH Aachen},
      type         = {Dr.},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2018-07541},
      isbn         = {978-3-95806-372-3},
      series       = {Schriften des Forschungszentrums Jülich Reihe Energie $\&$
                      Umwelt / Energy $\&$ Environment},
      pages        = {xxii, 160 S.},
      year         = {2018},
      note         = {RWTH Aachen, Diss., 2017},
      abstract     = {Understanding the soil-vegetation-atmosphere continuum is
                      essential to improve hydrological model predictions.
                      Particularly the characterization and prediction of the
                      spatio-temporal variability of soil water content (SWC) and
                      its controlling factors are of high interest for many
                      geoscientific fields, since these patterns influence for
                      example the rainfall-runoff response and the partitioning of
                      the net radiation into latent and sensible heat fluxes while
                      interacting with the vegetation cover. Within this context,
                      this PhD thesis explores the degree of model complexity that
                      is necessary to adequately represent heterogeneous
                      subsurface processes, and the benefit of merging soil
                      moisture data with an integrated terrestrial model. This
                      includes an uncertainty analysis of model forcing (i.e.
                      precipitation) and evaluation data (actual
                      evapotranspiration). On this account, the fully coupled land
                      surface-subsurface model ParFlow-CLM, which is part of the
                      terrestrial system modeling platform (TerrSysMP), was
                      applied to the 38 ha Rollesbroich headwater catchment
                      located in the Eifel (Germany). Detailed long-term data for
                      model setup, calibration, and evaluation were provided by
                      the TERENO infrastructure initiative, the North
                      Rhine-Westphalian State Environment Agency, and the
                      Transregional Collaborative Research Center 32. It was
                      expected that this combination of process orientated model
                      and extensive observation data contributes to the
                      understanding of the complex processes of the energy and
                      water cycle at the hillslope, the elementary unit for the
                      runoff generation process. [...]},
      cin          = {IBG-3},
      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)3 / PUB:(DE-HGF)11},
      urn          = {urn:nbn:de:0001-2019020503},
      url          = {https://juser.fz-juelich.de/record/858696},
}