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Projected Future Changes in Tropical Cyclones Using the CMIP6 HighResMIP Multimodel Ensemble

  • Malcolm John Roberts
  • , Joanne Camp
  • , Jon Seddon
  • , Pier Luigi Vidale
  • , Kevin Hodges
  • , Benoît Vannière
  • , Jenny Mecking
  • , Rein Haarsma
  • , Alessio Bellucci
  • , Enrico Scoccimarro
  • , Louis Philippe Caron
  • , Fabrice Chauvin
  • , Laurent Terray
  • , Sophie Valcke
  • , Marie Pierre Moine
  • , Dian Putrasahan
  • , Christopher D. Roberts
  • , Retish Senan
  • , Colin Zarzycki
  • , Paul Ullrich
  • Yohei Yamada, Ryo Mizuta, Chihiro Kodama, Dan Fu, Qiuying Zhang, Gokhan Danabasoglu, Nan Rosenbloom, Hong Wang, Lixin Wu
  • Met Office
  • University of Reading
  • University of Southampton
  • National Oceanography Centre
  • Royal Netherlands Meteorological Institute
  • Euro-Mediterranean Center on Climate Change
  • Barcelona Supercomputing Centre
  • Centre National de Recherches Météorologiques
  • Paul Sabatier University
  • Max-Planck-Gesellschaft zur Förderung der Wissenschaften E.V. (MPI-M)
  • European Centre for Medium-Range Weather Forecasts
  • Pennsylvania State University
  • University of California at Davis
  • Japan Agency for Marine-Earth Science and Technology
  • Japan Meteorological Agency
  • Texas A&M University
  • International Laboratory for High Resolution Earth System Prediction (iHESP)
  • National Center for Atmospheric Research
  • Qingdao National Laboratory for Marine Science and Technology

Research output: Contribution to journalArticlepeer-review

227 Scopus citations

Abstract

Future changes in tropical cyclone properties are an important component of climate change impacts and risk for many tropical and midlatitude countries. In this study we assess the performance of a multimodel ensemble of climate models, at resolutions ranging from 250 to 25 km. We use a common experimental design including both atmosphere-only and coupled simulations run over the period 1950–2050, with two tracking algorithms applied uniformly across the models. There are overall improvements in tropical cyclone frequency, spatial distribution, and intensity in models at 25 km resolution, with several of them able to represent very intense storms. Projected tropical cyclone activity by 2050 generally declines in the South Indian Ocean, while changes in other ocean basins are more uncertain and sensitive to both tracking algorithm and imposed forcings. Coupled models with smaller biases suggest a slight increase in average TC 10 m wind speeds by 2050.

Original languageEnglish
Article numbere2020GL088662
JournalGeophysical Research Letters
Volume47
Issue number14
DOIs
StatePublished - Jul 28 2020
Externally publishedYes

Keywords

  • CMIP6
  • future change
  • high resolution
  • model bias
  • tracking algorithms
  • tropical cyclones

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