Hurricane Risk pp 235-260 | Cite as

Estimating the Human Influence on Tropical Cyclone Intensity as the Climate Changes

  • Michael F. WehnerEmail author
  • Colin Zarzycki
  • Christina Patricola
Part of the Hurricane Risk book series (HR, volume 1)


Quantifying the human influence on individual extreme weather events is a new and rapidly developing science. Understanding the influence of climate change on tropical cyclones poses special challenges due to their intensities and scales. We present a method designed to overcome these challenges using high-resolution hindcasts of individual tropical cyclones under their actual large-scale meteorological conditions, counterfactual conditions without human influences on the climate system, and scenarios of increased climate change. Two practical case studies are presented along with a discussion of the conditions and limitations of attribution statements that can be made with this hindcast attribution method.


Tropical cyclone Climate change Attribution Modeling 



This work was supported by the Department of Energy Office of Science under contract number DE-AC02-05CH11231. This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor the Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by its trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof, or the Regents of the University of California. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof or the Regents of the University of California.

The National Center for Atmospheric Research is sponsored by the National Science Foundation. CMZ was partially supported under NSF’s Advanced Study Program (ASP).

This research used resources of the National Energy Research Scientific Computing Center (NERSC), also supported by the Office of Science of the U.S. Department of Energy, under Contract No. DE-AC02-05CH11231.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Michael F. Wehner
    • 1
    Email author
  • Colin Zarzycki
    • 2
  • Christina Patricola
    • 1
  1. 1.Lawrence Berkeley National LaboratoryBerkeleyUSA
  2. 2.National Center for Atmospheric ResearchBoulderUSA

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