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@ARTICLE{Prein:203404,
      author       = {Prein, Andreas F. and Langhans, Wolfgang and Fosser,
                      Giorgia and Ferrone, Andrew and Ban, Nikolina and Görgen,
                      Klaus and Keller, Michael and Tölle, Merja and Gutjahr,
                      Oliver and Feser, Frauke and Brisson, Erwan and Kollet,
                      Stefan and Schmidli, Juerg and van Lipzig, Nicole P. M. and
                      Leung, Ruby},
      title        = {{A} review on regional convection-permitting climate
                      modeling: {D}emonstrations, prospects, and challenges},
      journal      = {Reviews of geophysics},
      volume       = {53},
      number       = {2},
      issn         = {8755-1209},
      address      = {Hoboken, NJ},
      publisher    = {Wiley},
      reportid     = {FZJ-2015-05347},
      pages        = {323 - 361},
      year         = {2015},
      abstract     = {Regional climate modeling using convection-permitting
                      models (CPMs; horizontal grid spacing <4 km) emerges as a
                      promising framework to provide more reliable climate
                      information on regional to local scales compared to
                      traditionally used large-scale models (LSMs; horizontal grid
                      spacing >10 km). CPMs no longer rely on convection
                      parameterization schemes, which had been identified as a
                      major source of errors and uncertainties in LSMs. Moreover,
                      CPMs allow for a more accurate representation of surface and
                      orography fields. The drawback of CPMs is the high demand on
                      computational resources. For this reason, first CPM climate
                      simulations only appeared a decade ago. In this study, we
                      aim to provide a common basis for CPM climate simulations by
                      giving a holistic review of the topic. The most important
                      components in CPMs such as physical parameterizations and
                      dynamical formulations are discussed critically. An overview
                      of weaknesses and an outlook on required future developments
                      is provided. Most importantly, this review presents the
                      consolidated outcome of studies that addressed the added
                      value of CPM climate simulations compared to LSMs.
                      Improvements are evident mostly for climate statistics
                      related to deep convection, mountainous regions, or extreme
                      events. The climate change signals of CPM simulations
                      suggest an increase in flash floods, changes in hail storm
                      characteristics, and reductions in the snowpack over
                      mountains. In conclusion, CPMs are a very promising tool for
                      future climate research. However, coordinated modeling
                      programs are crucially needed to advance parameterizations
                      of unresolved physics and to assess the full potential of
                      CPMs.},
      cin          = {IBG-3 / JSC},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118 / I:(DE-Juel1)JSC-20090406},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255) / 511 - Computational Science and Mathematical
                      Methods (POF3-511)},
      pid          = {G:(DE-HGF)POF3-255 / G:(DE-HGF)POF3-511},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000358322200005},
      pubmed       = {pmid:27478878},
      doi          = {10.1002/2014RG000475},
      url          = {https://juser.fz-juelich.de/record/203404},
}