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@ARTICLE{Bormann:3597,
      author       = {Bormann, H. and Breuer, L. and Gräff, T. and Huisman, J.
                      A. and Croke, B.},
      title        = {{A}ssessing the impact of land use change on hydrology by
                      ensemble modelling ({LUCHEM}) {IV}: {M}odel sensitivity on
                      data aggregation and spatial (re-)distribution},
      journal      = {Advances in water resources},
      volume       = {32},
      issn         = {0309-1708},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {PreJuSER-3597},
      pages        = {171 - 192},
      year         = {2009},
      note         = {The authors thank the "Deutsche Forschungsgemeinschaft" for
                      the funding the collaborative research centre 299 "Land use
                      options for peripheral regions".},
      abstract     = {This paper analyses the effect of spatial resolution and
                      distribution of model input data on the results of
                      regional-scale land use scenarios using three different
                      hydrological catchment models. A 25 m resolution data set of
                      a mesoscale catchment and three land use scenarios are used.
                      Data are systematically aggregated to resolutions up to 2
                      kill. Land use scenarios are spatially redistributed, both
                      randomly and topography based. Using these data, water
                      fluxes are calculated on a daily time step for a 16 year
                      time period without further calibration. Simulation results
                      are used to identify grid size, distribution and model
                      dependent scenario effects. In the case of data aggregation,
                      all applied models react sensitively to grid size. WASIM and
                      TOPLATS simulate constant water balances for grid sizes from
                      50 m to 300-500 m, SWAT is more sensitive to input data
                      aggregation, simulating constant water balances between 50 m
                      and 200 m grid size. The calculation of scenario effects is
                      less robust to data aggregation. The maximum acceptable grid
                      size reduces to 200-300 m for TOPLATS and WASIM. In case of
                      spatial distribution, SWAT and TOPLATS are slightly
                      sensitive to a redistribution of land use (below $1.5\%$ for
                      water balance terms), whereas WASIM shows almost no
                      reaction. Because the aggregation effects were stronger than
                      the redistribution effects, it is concluded that spatial
                      discretisation is more important than spatial distribution.
                      As the aggregation effect was mainly associated with a
                      change in land use fraction, it is concluded that accuracy
                      of data sets is much more important than a high spatial
                      resolution. (C) 2008 Elsevier Ltd. All rights reserved.},
      keywords     = {J (WoSType)},
      cin          = {ICG-4},
      ddc          = {550},
      cid          = {I:(DE-Juel1)VDB793},
      pnm          = {Terrestrische Umwelt},
      pid          = {G:(DE-Juel1)FUEK407},
      shelfmark    = {Water Resources},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000264512000005},
      doi          = {10.1016/j.advwatres.2008.01.002},
      url          = {https://juser.fz-juelich.de/record/3597},
}