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Recent advances in seasonal and multi-annual tropical cyclone forecasting

Tropical Cyclone Research and Review 2023年第3期12卷 182-199页

作者： Yuhei Takaya Louis-Philippe Caron Eric Blake francois bonnardot Nicolas Bruneau Joanne Camp Johnny Chan Paul Gregory Jhordanne J.Jones Namyoung Kang Philip J.Klotzbach Yuriy Kuleshov Marie-Dominique Leroux Julia F.Lockwood Hiroyuki Murakami Akio Nishimura Dushmanta R.Pattanaik Tom J.Philp Yohan Ruprich-Robert Ralf Toumi Frederic Vitart Seonghee Won Ruifen Zhan Meteorological Research Institute Japan Meteorological AgencyIbarakiJapan Ouranos MontrealCanada National Hurricane Center National Oceanic and Atmospheric AdministrationMiamiUSA Meteo-France Direction Interregionale pour l'Ocean IndienSaint-Denisde La ReunionFrance Reask LondonUK Bureau of Meteorology VictoriaAustralia City University of Hong Kong Hong KongChina Asia-Pacific Typhoon Collaborative Research Center ShanghaiChina Shanghai Typhoon Institute China Meteorological AdministrationShanghaiChina Department of Earth Atmosphericand Planetary SciencesPurdue UniversityWest LafayetteUSA University Corporation for Atmospheric Research BoulderUSA Department of Geography Kyungpook National UniversityDaeguRepublic of Korea Department of Atmospheric Science Colorado State UniversityFort CollinsUSA Royal Melbourne Institute of Technology(RMIT)University MelbourneAustralia Met Office Hadley Centre ExeterUK National Oceanographic and Atmospheric Administration/Geophysical Fluid Dynamics Laboratory PrincetonUSA Japan Meteorological Agency TokyoJapan India Meteorological Department New DelhiIndia Maximum Information LondonUK Barcelona Supercomputing Center BarcelonaSpain Department of Physics Imperial College LondonLondonUK European Centre for Medium-Range Weather Forecasts(ECMWF) ReadingUK Korea Meteorological Administration JejuRepublic of Korea Department of Atmospheric and Oceanic Sciences&Institute of Atmospheric Sciences Fudan UniversityShanghaiChina

Seasonal tropical cyclone(TC)forecasting has evolved substantially since its commencement in the early ***,present operational seasonal TC forecasting services still do not meet the requirements of society and stakeholders:current operational products are mainly basin-scale information,while more detailed sub-basin scale information such as potential risks of TC landfall is anticipated for decision *** fill this gap and make the TC science and services move forward,this paper reviews recent research and development in seasonal tropical cyclone(TC)*** particular,this paper features new research topics on seasonal TC predictability in neutral conditions of El Ni˜no–Southern Oscillation(ENSO),emerging forecasting techniques of seasonal TC activity including Machine Learning/Artificial Intelligence,and multi-annual TC *** also review the skill of forecast systems at predicting landfalling statistics for certain regions of the North Atlantic,Western North Pacific and South Indian oceans and discuss the gap that remains between current products and potential user's *** knowledge and advanced forecasting techniques are expected to further enhance the capability of seasonal TC forecasting and lead to more actionable and fit-for-purpose products.

关键词： Tropical cyclones Seasonal forecasting Climate services

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