School of Atmospheric Sciences, Key Laboratory of Tropical Atmosphere-Ocean System, Ministry of Education, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
Hunan Institute of Advanced Technology, Changsha, China
School of Atmospheric Sciences, Key Laboratory of Tropical Atmosphere-Ocean System, Ministry of Education, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
Ralf Toumi
Department of Physics, Imperial College London, London, UK
Jianjun Xu
Shenzhen Institute, Guangdong Ocean University, Shenzhen, China
Weijing Li
National Climate Center, China Meteorological Administration, Beijing, China
Weihong Qian
Department of Atmospheric and Oceanic Sciences, Peking University, Beijing, China
Hoiio Kong
Faculty of Data Science, City University of Macau, Macau, China
Banglin Zhang
Hunan Institute of Advanced Technology, Changsha, China
College of Atmospheric Science, Lanzhou University, Lanzhou, China
Key Laboratory of High Impact Weather (Special), China Meteorological Administration, Changsha, China
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Total article views: 518 (including HTML, PDF, and XML)
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316
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27
518
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Total article views: 3,680 (including HTML, PDF, and XML)
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Total article views: 518 (including HTML, PDF, and XML)
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Total article views: 3,162 (including HTML, PDF, and XML)
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Historical observational records of tropical cyclones (TCs) are incomplete, especially before the satellite era. We created a global TC dataset from reanalysis data covering 1850 to 2014. The dataset matches recent storm patterns well and can provide useful extra information on storm tracks and strength when older records are missing, helping improve our understanding of past tropical cyclone activity.
Historical observational records of tropical cyclones (TCs) are incomplete, especially before...