Articles | Volume 18, issue 5
https://doi.org/10.5194/essd-18-3587-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-3587-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
26 May 2026
Data description article |
| 26 May 2026
| 26 May 2026
A Reanalysis-Based Global Tropical Cyclone Tracks Dataset for the Twentieth Century (RGTracks-20C)
Guiling Ye
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
Jeremy Cheuk-Hin Leung
CORRESPONDING AUTHOR
Hunan Institute of Advanced Technology, Changsha, China
Wenjie Dong
CORRESPONDING AUTHOR
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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Short summary
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...
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