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@ARTICLE{Panagopoulos:281105,
      author       = {Panagopoulos, A. and Arampatzis, G. and Tziritis, E. and
                      Pisinaras, V. and Herrmann, F. and Kunkel, R. and Wendland,
                      F.},
      title        = {{A}ssessment of climate change impact in the hydrological
                      regime of {R}iver {P}inios {B}asin, central {G}reece},
      journal      = {Desalination and water treatment},
      volume       = {57},
      number       = {5},
      issn         = {1944-3986},
      address      = {London},
      publisher    = {Taylor $\&$ Francis},
      reportid     = {FZJ-2016-00810},
      pages        = {2256 - 2267},
      year         = {2016},
      abstract     = {In order to assess the potential impacts of climate change
                      in the hydrologic regime of River Pinios Basin, an
                      area-differentiated model for total run-off (Qt) estimation
                      based on the GROWA model was applied with bias-corrected
                      precipitation and temperature data from four regional
                      climate models (RCMs) for the projected periods 2020–2050
                      (period A) and 2050–2080 (period B). Bias correction was
                      performed using the linear scaling approach. As a reference
                      basis, monthly precipitation data from 57 meteorological
                      stations and average temperature data from 17 stations were
                      analyzed for the period 1980–2000. Relative assessments
                      were achieved by comparing reference to projected periods
                      values for Qt, after incorporating bias-corrected projected
                      climate data from the four RCMs driven by several general
                      circulation models (GCMs) as input data to the hydrological
                      model. Results showed that all RCM–GCM combinations lead
                      to a considerable decrease in total run-off with variable
                      rates between the examined projected periods; the greatest
                      reduction of Qt $(62\%)$ from the reference period was
                      forecasted for period A (2020–2050), and was simulated
                      when GROWA model ran with input data from HIRHAM5 model
                      driven by ARPEGE GCM, which indicated greater decrements in
                      precipitation and increments in temperature. Regarding the
                      estimations of total run-off for the end of the projected
                      periods (2080) with simulated climatic data input from
                      HIRHAM–ARPEGE, RACMO–ECHAM5 and REMO–ECHAM5 RCM–GCM
                      combinations, a significant adverse impact to the overall
                      water budget is forecasted, as the total amount of Qt is
                      decreased from 46 to $66\%.$ On the contrary, when Qt was
                      simulated with climatic data from RCA4 RCM driven by HadCM3,
                      smoother rates were exhibited due to smaller variations of
                      precipitation and temperature from the reference period and
                      the relevant Qt reduction by the end of the projection
                      (2080) is $22\%.$},
      cin          = {IBG-3},
      ddc          = {690},
      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:000367433900036},
      doi          = {10.1080/19443994.2014.984926},
      url          = {https://juser.fz-juelich.de/record/281105},
}