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@ARTICLE{Jzquel:1033578,
      author       = {Jézéquel, Aglaé and Bastos, Ana and Faranda, Davide and
                      Kimutai, Joyce and Le Grix, Natacha and Wilson, Anna M and
                      Rufat, Samuel and Shepherd, Theodore G and Stuart-Smith,
                      Rupert F and Van Loon, Anne F and Bevacqua, Emanuele and
                      D’Andrea, Fabio and Lehner, Flavio and Lloyd, Elisabeth A
                      and Moemken, Julia and Ramos, Alexandre M and Sippel,
                      Sebastian and Zscheischler, Jakob},
      title        = {{B}roadening the scope of anthropogenic influence in
                      extreme event attribution},
      journal      = {Environmental research: climate},
      volume       = {3},
      number       = {4},
      issn         = {2752-5295},
      address      = {[Bristol]},
      publisher    = {IOPScience},
      reportid     = {FZJ-2024-06458},
      pages        = {042003 -},
      year         = {2024},
      abstract     = {As extreme event attribution (EEA) matures, explaining the
                      impacts of extreme events has risen tobe a key focus for
                      attribution scientists. Studies of this type usually assess
                      the contribution ofanthropogenic climate change to observed
                      impacts. Other scientific communities have developedtools to
                      assess how human activities influence impacts of extreme
                      weather events on ecosystemsand societies. For example, the
                      disaster risk reduction (DRR) community analyses how
                      thestructure of human societies affects exposure,
                      vulnerability, and ultimately the impacts of extremeweather
                      events, with less attention to the role of anthropogenic
                      climate change. In this perspective,we argue that adapting
                      current practice in EEA to also consider other causal
                      factors in attributionof extreme weather impacts would
                      provide richer and more comprehensive insight into the
                      causesof disasters. To this end, we propose a framework for
                      EEA that would generate a more completepicture of human
                      influences on impacts and bridge the gap between the EEA and
                      DRRcommunities. We provide illustrations for five case
                      studies: the 2021–2022 Kenyan drought; the2013–2015
                      marine heatwave in the northeast Pacific; the 2017 forest
                      fires in Portugal; Acqua Alta (flooding) events in Venice
                      and evaluation of the efficiency of the Experimental
                      ElectromechanicalModule, an ensemble of mobile barriers that
                      can be activated to mitigate the influx of seawater inthe
                      city; and California droughts and the Forecast Informed
                      Reservoir Operations system as anadaptation strategy.},
      cin          = {JSC / ICE-4},
      ddc          = {333.7},
      cid          = {I:(DE-Juel1)JSC-20090406 / I:(DE-Juel1)ICE-4-20101013},
      pnm          = {2113 - Future Weather and Extremes (POF4-211) / 5111 -
                      Domain-Specific Simulation $\&$ Data Life Cycle Labs (SDLs)
                      and Research Groups (POF4-511) / 2112 - Climate Feedbacks
                      (POF4-211)},
      pid          = {G:(DE-HGF)POF4-2113 / G:(DE-HGF)POF4-5111 /
                      G:(DE-HGF)POF4-2112},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001319224400001},
      doi          = {10.1088/2752-5295/ad7527},
      url          = {https://juser.fz-juelich.de/record/1033578},
}