SEASONAL TROPICAL CYCLONE FORECASTING

Philip Klotzbach*, Eric Blake, Joanne Camp, Louis-Philippe Caron, Johnny C. L. Chan, Nam-Young Kang, Yuri Kuleshov, Sai-Ming Lee, Hiroyuki Murakami, Mark Saunders, Yuhei Takaya, Frederic Vitart, Ruifen Zhan

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

72 Citations (Scopus)
39 Downloads (CityUHK Scholars)

Abstract

This paper summarizes the forecast methods, outputs and skill offered by twelve agencies for seasonal tropical cyclone (TC) activity around the world. These agencies use a variety of techniques ranging from statistical models to dynamical models to predict basinwide activity and regional activity. In addition, several dynamical and hybrid statistical/dynamical models now predict TC track density as well as landfall likelihood. Real-time Atlantic seasonal hurricane forecasts have shown low skill in April, modest skill in June and good skill in August at predicting basinwide TC activity when evaluated over 2003-2018. Real-time western North Pacific seasonal TC forecasts have shown good skill by July for basinwide intense typhoon numbers and the ACE index when evaluated for 2003-2018. Both hindcasts and real-time forecasts have shown skill for other TC basins. A summary of recent research into forecasting TC activity beyond seasonal (e.g., multi-year) timescales is included. Recommendations for future areas of research are also discussed.
Original languageEnglish
Pages (from-to)134-149
JournalTropical Cyclone Research and Review
Volume8
Issue number3
DOIs
Publication statusPublished - Sept 2019

Research Keywords

  • hurricane
  • typhoon
  • tropical cyclone
  • seasonal forecasting
  • forecast skill

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

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