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@ARTICLE{Pfletschinger:150438,
      author       = {Pfletschinger, H. and Prömmel, K. and Schüth, C. and
                      Herbst, M. and Engelhardt, I.},
      title        = {{S}ensitivity of {V}adose {Z}one {W}ater {F}luxes to
                      {C}limate {S}hifts in {A}rid {S}ettings},
      journal      = {Vadose zone journal},
      volume       = {13},
      number       = {1},
      issn         = {1539-1663},
      address      = {Madison, Wis.},
      publisher    = {SSSA},
      reportid     = {FZJ-2014-00494},
      pages        = {1-14},
      year         = {2014},
      abstract     = {Vadose zone water fluxes in arid settings are investigated
                      regarding their sensitivity to hydraulic soil parameters and
                      meteorological data. The study is based on the inverse
                      modeling of highly defined soil column experiments and
                      subsequent scenario modeling comparing different climate
                      projections for a defined arid region.In arid regions,
                      groundwater resources are prone to depletion due to
                      excessive water use and little recharge potential.
                      Especially in sand dune areas, groundwater recharge is
                      highly dependent on vadose zone properties and corresponding
                      water fluxes. Nevertheless, vadose zone water fluxes under
                      arid conditions are hard to determine owing to, among other
                      reasons, deep vadose zones with generally low fluxes and
                      only sporadic high infiltration events. In this study, we
                      present an inverse model of infiltration experiments
                      accounting for variable saturated nonisothermal water fluxes
                      to estimate effective hydraulic and thermal parameters of
                      dune sands. A subsequent scenario modeling links the results
                      of the inverse model with projections of a global climate
                      model until 2100. The scenario modeling clearly showed the
                      high dependency of groundwater recharge on precipitation
                      amounts and intensities, whereas temperature increases are
                      only of minor importance for deep infiltration. However,
                      simulated precipitation rates are still affected by high
                      uncertainties in the response to the hydrological input data
                      of the climate model. Thus, higher certainty in the
                      prediction of precipitation pattern is a major future goal
                      for climate modeling to constrain future groundwater
                      management strategies in arid regions.},
      cin          = {IBG-3},
      ddc          = {550},
      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)16},
      UT           = {WOS:000330971700004},
      doi          = {10.2136/vzj2013.02.0043},
      url          = {https://juser.fz-juelich.de/record/150438},
}