Institute of Urban Meteorology, China Metrological Administration, Beijing 100089, China
Yuchen Ye
Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing, 210044, China
Haikun Zhao
Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing, 210044, China
Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing, 210044, China
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Total article views: 5,089 (including HTML, PDF, and XML)
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3,820
1,084
185
5,089
322
80
116
HTML: 3,820
PDF: 1,084
XML: 185
Total: 5,089
Supplement: 322
BibTeX: 80
EndNote: 116
Views and downloads (calculated since 06 Aug 2024)
Cumulative views and downloads
(calculated since 06 Aug 2024)
Total article views: 3,682 (including HTML, PDF, and XML)
HTML
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Total
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EndNote
3,086
536
60
3,682
183
60
97
HTML: 3,086
PDF: 536
XML: 60
Total: 3,682
Supplement: 183
BibTeX: 60
EndNote: 97
Views and downloads (calculated since 18 Dec 2024)
Cumulative views and downloads
(calculated since 18 Dec 2024)
Total article views: 1,407 (including HTML, PDF, and XML)
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734
548
125
1,407
139
20
19
HTML: 734
PDF: 548
XML: 125
Total: 1,407
Supplement: 139
BibTeX: 20
EndNote: 19
Views and downloads (calculated since 06 Aug 2024)
Cumulative views and downloads
(calculated since 06 Aug 2024)
Viewed (geographical distribution)
Total article views: 5,089 (including HTML, PDF, and XML)
Thereof 4,990 with geography defined
and 99 with unknown origin.
Total article views: 3,682 (including HTML, PDF, and XML)
Thereof 3,613 with geography defined
and 69 with unknown origin.
Total article views: 1,407 (including HTML, PDF, and XML)
Thereof 1,377 with geography defined
and 30 with unknown origin.
Tropical cyclones (TCs) are powerful weather systems that can cause extreme disasters. Here we generate a global long-term TC size and intensity reconstruction dataset, covering a time period from 1959 to 2022, with a 3 h temporal resolution, using machine learning models. These can be valuable for filling observational data gaps and advancing our understanding of TC climatology, thereby facilitating risk assessments and defenses against TC-related disasters.
Tropical cyclones (TCs) are powerful weather systems that can cause extreme disasters. Here we...
