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@ARTICLE{Kreklow:873453,
      author       = {Kreklow, J. and Tetzlaff, Björn and Kuhnt, G. and
                      Burkhard, B.},
      title        = {{A} {R}ainfall {D}ata {I}ntercomparison {D}ataset of
                      {RADKLIM}, {RADOLAN}, and {R}ain {G}auge {D}ata for
                      {G}ermany},
      journal      = {Data},
      volume       = {4},
      number       = {3},
      issn         = {2306-5729},
      address      = {Basel},
      publisher    = {MDPI},
      reportid     = {FZJ-2020-00730},
      pages        = {118 -},
      year         = {2019},
      abstract     = {Quantitative precipitation estimates (QPE) derived from
                      weather radars provide spatially and temporally highly
                      resolved rainfall data. However, they are also subject to
                      systematic and random bias and various potential
                      uncertainties and therefore require thorough quality checks
                      before usage. The dataset described in this paper is a
                      collection of precipitation statistics calculated from the
                      hourly nationwide German RADKLIM and RADOLAN QPEs provided
                      by the German Weather Service (Deutscher Wetterdienst
                      (DWD)), which were combined with rainfall statistics derived
                      from rain gauge data for intercomparison. Moreover,
                      additional information on parameters that can potentially
                      influence radar data quality, such as the height above sea
                      level, information on wind energy plants and the distance to
                      the next radar station, were included in the dataset. The
                      resulting two point shapefiles are readable with all common
                      GIS and constitutes a spatially highly resolved rainfall
                      statistics geodataset for the period 2006 to 2017, which can
                      be used for statistical rainfall analyses or for the
                      derivation of model inputs. Furthermore, the publication of
                      this data collection has the potential to benefit other
                      users who intend to use precipitation data for any purpose
                      in Germany and to identify the rainfall dataset that is best
                      suited for their application by a straightforward comparison
                      of three rainfall datasets without any tedious data
                      processing and georeferencing},
      cin          = {IBG-3},
      ddc          = {004},
      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:000487958500036},
      doi          = {10.3390/data4030118},
      url          = {https://juser.fz-juelich.de/record/873453},
}