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: 5,710 (including HTML, PDF, and XML)
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4,177
1,326
207
5,710
425
90
132
HTML: 4,177
PDF: 1,326
XML: 207
Total: 5,710
Supplement: 425
BibTeX: 90
EndNote: 132
Views and downloads (calculated since 06 Aug 2024)
Cumulative views and downloads
(calculated since 06 Aug 2024)
Total article views: 4,221 (including HTML, PDF, and XML)
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EndNote
3,419
723
79
4,221
240
68
113
HTML: 3,419
PDF: 723
XML: 79
Total: 4,221
Supplement: 240
BibTeX: 68
EndNote: 113
Views and downloads (calculated since 18 Dec 2024)
Cumulative views and downloads
(calculated since 18 Dec 2024)
Total article views: 1,489 (including HTML, PDF, and XML)
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758
603
128
1,489
185
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19
HTML: 758
PDF: 603
XML: 128
Total: 1,489
Supplement: 185
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: 5,710 (including HTML, PDF, and XML)
Thereof 5,603 with geography defined
and 107 with unknown origin.
Total article views: 4,221 (including HTML, PDF, and XML)
Thereof 4,143 with geography defined
and 78 with unknown origin.
Total article views: 1,489 (including HTML, PDF, and XML)
Thereof 1,460 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...
