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: 5,615 (including HTML, PDF, and XML)
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4,137
1,273
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5,615
420
90
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HTML: 4,137
PDF: 1,273
XML: 205
Total: 5,615
Supplement: 420
BibTeX: 90
EndNote: 130
Views and downloads (calculated since 06 Aug 2024)
Cumulative views and downloads
(calculated since 06 Aug 2024)
Total article views: 4,149 (including HTML, PDF, and XML)
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3,389
681
79
4,149
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68
111
HTML: 3,389
PDF: 681
XML: 79
Total: 4,149
Supplement: 238
BibTeX: 68
EndNote: 111
Views and downloads (calculated since 18 Dec 2024)
Cumulative views and downloads
(calculated since 18 Dec 2024)
Total article views: 1,466 (including HTML, PDF, and XML)
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748
592
126
1,466
182
22
19
HTML: 748
PDF: 592
XML: 126
Total: 1,466
Supplement: 182
BibTeX: 22
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: 5,615 (including HTML, PDF, and XML)
Thereof 5,518 with geography defined
and 97 with unknown origin.
Total article views: 4,149 (including HTML, PDF, and XML)
Thereof 4,081 with geography defined
and 68 with unknown origin.
Total article views: 1,466 (including HTML, PDF, and XML)
Thereof 1,437 with geography defined
and 29 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...
