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@ARTICLE{Montzka:62066,
      author       = {Montzka, C. and Canty, M. J. and Kunkel, R. and Menz, G.
                      and Vereecken, H. and Wendland, F.},
      title        = {{M}odelling the water balance of a mesoscale catchment
                      basin using remotely sensed land cover data},
      journal      = {Journal of hydrology},
      volume       = {353},
      issn         = {0022-1694},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier},
      reportid     = {PreJuSER-62066},
      pages        = {322 - 334},
      year         = {2008},
      note         = {Record converted from VDB: 12.11.2012},
      abstract     = {Hydrological modelling of mesoscale catchments is often
                      adversely affected by a tack of adequate information about
                      specific site conditions. In particular, digital land cover
                      data are available from data sets which were acquired on a
                      European or a national scale. These data sets do not only
                      exhibit a restricted spatial resolution but also a
                      differentiation of crops and impervious areas which is not
                      appropriate to the needs of mesoscale hydrological models.
                      In this paper, the impact of remote sensing data on the
                      reliability of a water balance model is investigated and
                      compared to model results determined on the basis of CORINE
                      (Coordination of Information on the Environment) Land Cover
                      as a reference. The aim is to quantify the improved model
                      performance achieved by an enhanced land cover
                      representation and corresponding model. modifications.
                      Making use of medium resolution satellite imagery from SPOT,
                      LANDSAT ETM+ and ASTER, detailed information on land cover,
                      especially agricultural crops and impervious surfaces, was
                      extracted over a 5-year period (2000-2004). Crop-specific
                      evapotranspiration coefficients were derived by using remote
                      sensing data to replace grass reference evapotranspiration
                      necessitated by the use of CORINE land cover for rural
                      areas. For regions classified as settlement or industrial
                      areas, degrees of imperviousness were derived. The data were
                      incorporated into the hydrological model. GROWA (large-scale
                      water balance model.), which uses an empirical approach
                      combining distributed meteorological data with distributed
                      site parameters to calculate the annual runoff components.
                      Using satellite imagery in combination with runoff data from
                      gauging stations for the years 2000-2004, the actual
                      evapotranspiration calculation in GROWA was methodologically
                      extended by including empirical crop coefficients for actual
                      evapotranspiration calculations. While GROWA originally
                      treated agricultural areas as homogeneous, now a
                      consideration and differentiation of the main crops is
                      possible. The accuracy was determined by runoff measurements
                      from gauging stations. Differences in water balances
                      resulting from the use of remote sensing data as opposed to
                      CORINE were analysed in this study using a representative
                      subcatchment. Resulting Nash-Sutcliff model efficiencies
                      improved from 0.372 to 0.775 and indicate that the enhanced
                      model can produce thematically more accurate and spatially
                      more detailed local water balances. However, the proposed
                      model enhancements by satellite imagery have not exhausted
                      the full potential of water balance modelling, for which a
                      higher temporal resolution is required. (c) 2008 Elsevier
                      B.V. All rights reserved.},
      keywords     = {J (WoSType)},
      cin          = {ICG-4 / JARA-ENERGY / JARA-SIM},
      ddc          = {690},
      cid          = {I:(DE-Juel1)VDB793 / $I:(DE-82)080011_20140620$ /
                      I:(DE-Juel1)VDB1045},
      pnm          = {Terrestrische Umwelt},
      pid          = {G:(DE-Juel1)FUEK407},
      shelfmark    = {Engineering, Civil / Geosciences, Multidisciplinary / Water
                      Resources},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000255990300008},
      doi          = {10.1016/j.jhydrol.2008.02.018},
      url          = {https://juser.fz-juelich.de/record/62066},
}