% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Neubacher:891566,
      author       = {Neubacher, Charlotte and Witthaut, Dirk and Wohland, Jan},
      title        = {{M}ulti-decadal offshore wind power variability can be
                      mitigated through optimized {E}uropean allocation},
      journal      = {Advances in geosciences},
      volume       = {54},
      issn         = {1680-7359},
      address      = {Katlenburg-Lindau},
      publisher    = {European Geosciences Union},
      reportid     = {FZJ-2021-01591},
      pages        = {205 - 215},
      year         = {2021},
      abstract     = {Wind power is a vital ingredient for energy system
                      transformation in line with the Paris Agreement. Limited
                      land availability for onshore wind parks and higher wind
                      speeds over sea make offshore wind energy increasingly
                      attractive. While wind variability on different timescales
                      poses challenges for planning and system integration, little
                      focus has been given to multi-decadal variability. Our
                      research therefore focuses on the characteristics of wind
                      power on timescales exceeding ten years. Based on detrended
                      wind data from the coupled centennial reanalysis CERA-20C,
                      we calculate European long-term offshore wind power
                      potential and analyze its variability focusing on three
                      locations with distinct climatic conditions: the German
                      North Sea, the Greek Mediterranean and the Portuguese
                      Atlantic coast. We find strong indications for two
                      significant multi-decadal modes that are identified
                      consistently using two independent spectral analysis methods
                      and in the 20-year running mean time series. In winter, the
                      long-term evolution of wind power and the North Atlantic
                      Oscillation (NAO) are directly linked in Germany and
                      Portugal. While German North Sea wind power is positively
                      correlated with the NAO (r=0.82), Portuguese Atlantic coast
                      generation is anti-correlated with the NAO (r=−0.91). We
                      evaluate the corresponding potential for spatial balancing
                      in Europe and report substantial benefits from European
                      cooperation. In particular, optimized allocations off the
                      Portuguese Atlantic coast and in the German North Sea allow
                      to reduce multi-decadal generation variance by a factor of
                      3–10 compared with country-level approaches.},
      cin          = {IEK-8 / IEK-STE},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IEK-8-20101013 / I:(DE-Juel1)IEK-STE-20101013},
      pnm          = {111 - Energiesystemtransformation (POF4-111)},
      pid          = {G:(DE-HGF)POF4-111},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.5194/adgeo-54-205-2021},
      url          = {https://juser.fz-juelich.de/record/891566},
}