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@ARTICLE{Herrmann:279648,
      author       = {Herrmann, Frank and Baghdadi, Nicolas and Blaschek, Michael
                      and Deidda, Roberto and Duttmann, Rainer and La Jeunesse,
                      Isabelle and Sellami, Haykel and Vereecken, Harry and
                      Wendland, Frank},
      title        = {{S}imulation of future groundwater recharge using a climate
                      model ensemble and {SAR}-image based soil parameter
                      distributions — {A} case study in an intensively-used
                      {M}editerranean catchment},
      journal      = {The science of the total environment},
      volume       = {543},
      number       = {Part B},
      issn         = {0048-9697},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2015-07530},
      pages        = {889 - 905},
      year         = {2016},
      abstract     = {We used observed climate data, an ensemble of four
                      GCM–RCM combinations (global and regional climate models)
                      and the water balance model mGROWA to estimate present and
                      future groundwater recharge for the intensively-used Thau
                      lagoon catchment in southern France. In addition to a highly
                      resolved soil map, soil moisture distributions obtained from
                      SAR-images (Synthetic Aperture Radar) were used to derive
                      the spatial distribution of soil parameters covering the
                      full simulation domain. Doing so helped us to assess the
                      impact of different soil parameter sources on the modelled
                      groundwater recharge levels. Groundwater recharge was
                      simulated in monthly time steps using the ensemble approach
                      and analysed in its spatial and temporal variability. The
                      soil parameters originating from both sources led to very
                      similar groundwater recharge rates, proving that soil
                      parameters derived from SAR images may replace traditionally
                      used soil maps in regions where soil maps are sparse or
                      missing. Additionally, we showed that the variance in
                      different GCM–RCMs influences the projected magnitude of
                      future groundwater recharge change significantly more than
                      the variance in the soil parameter distributions derived
                      from the two different sources. For the period between 1950
                      and 2100, climate change impacts based on the climate model
                      ensemble indicated that overall groundwater recharge will
                      possibly show a low to moderate decrease in the Thau
                      catchment. However, as no clear trend resulted from the
                      ensemble simulations, reliable recommendations for adapting
                      the regional groundwater management to changed available
                      groundwater volumes could not be derived.},
      cin          = {IBG-3},
      ddc          = {333.7},
      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)16},
      UT           = {WOS:000367638000005},
      doi          = {10.1016/j.scitotenv.2015.07.036},
      url          = {https://juser.fz-juelich.de/record/279648},
}