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@ARTICLE{Feser:1048117,
      author       = {Feser, Frauke and Shepherd, Theodore G.},
      title        = {{T}he concept of spectrally nudged storylines for extreme
                      event attribution},
      journal      = {Communications earth $\&$ environment},
      volume       = {6},
      number       = {1},
      issn         = {2662-4435},
      address      = {London},
      publisher    = {Springer Nature},
      reportid     = {FZJ-2025-04508},
      pages        = {677},
      year         = {2025},
      abstract     = {Spectrally nudged storylines (constraining the large-scale
                      atmospheric circulation to follow that of aparticular
                      weather event) represent a relatively new attribution
                      method. They differ fromconventional,probabilistic
                      attribution approaches which consider a class of similar,
                      generally univariate, extremes.Instead, their focus is on
                      particular, historic extreme events of large impact which
                      are still vividlyanchored in collective memory. The
                      innovation of the method is the feasibility to quantify the
                      role ofanthropogenic climate change for specific extreme
                      events of the recent past, and it draws onexperience from
                      regional climate downscaling. Spectrally nudged storylines
                      thus offer a new, easilyimplemented and easily
                      understandable way of communicating climate change to the
                      general publicand decision-makers, as well as a pathway for
                      detailed attribution of climate impacts. The techniqueoffers
                      great potential as an addition to the established
                      attribution methods by answering differentquestions and
                      providing new attribution results.},
      cin          = {JSC},
      ddc          = {550},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5111},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.1038/s43247-025-02659-6},
      url          = {https://juser.fz-juelich.de/record/1048117},
}