A dataset of global tropical cyclone wind and surface wave measurements from buoy and satellite platforms
Abstract There are now a range of potential data sources for wind and surface wave conditions within tropical cyclones. These sources include: in situ buoy data and remote sensing data from satellite altimeters, scatterometers, and radiometers. In addition, data providing estimates of tropical cyclo...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-01-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-02955-4 |
| _version_ | 1797340381056073728 |
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| author | Ali Tamizi Ian R. Young |
| author_facet | Ali Tamizi Ian R. Young |
| author_sort | Ali Tamizi |
| collection | DOAJ |
| description | Abstract There are now a range of potential data sources for wind and surface wave conditions within tropical cyclones. These sources include: in situ buoy data and remote sensing data from satellite altimeters, scatterometers, and radiometers. In addition, data providing estimates of tropical cyclone tracks and wind field parameters are available from best track archives. The present dataset brings together this information in a single archive, providing the available data for each tropical cyclone from each of the data sources in a single file. The data consists of observations in a total of 2927 global tropical cyclones over the period from 1985 to 2017. Global statistics of the observations are provided, along with data on the geographic distribution of tropical cyclones within the database. |
| first_indexed | 2024-03-08T10:01:17Z |
| format | Article |
| id | doaj.art-e847ca83721849acb34ee2527ecbfac6 |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-03-08T10:01:17Z |
| publishDate | 2024-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-e847ca83721849acb34ee2527ecbfac62024-01-29T10:56:53ZengNature PortfolioScientific Data2052-44632024-01-0111111110.1038/s41597-024-02955-4A dataset of global tropical cyclone wind and surface wave measurements from buoy and satellite platformsAli Tamizi0Ian R. Young1Department of Infrastructure Engineering, University of MelbourneDepartment of Infrastructure Engineering, University of MelbourneAbstract There are now a range of potential data sources for wind and surface wave conditions within tropical cyclones. These sources include: in situ buoy data and remote sensing data from satellite altimeters, scatterometers, and radiometers. In addition, data providing estimates of tropical cyclone tracks and wind field parameters are available from best track archives. The present dataset brings together this information in a single archive, providing the available data for each tropical cyclone from each of the data sources in a single file. The data consists of observations in a total of 2927 global tropical cyclones over the period from 1985 to 2017. Global statistics of the observations are provided, along with data on the geographic distribution of tropical cyclones within the database.https://doi.org/10.1038/s41597-024-02955-4 |
| spellingShingle | Ali Tamizi Ian R. Young A dataset of global tropical cyclone wind and surface wave measurements from buoy and satellite platforms Scientific Data |
| title | A dataset of global tropical cyclone wind and surface wave measurements from buoy and satellite platforms |
| title_full | A dataset of global tropical cyclone wind and surface wave measurements from buoy and satellite platforms |
| title_fullStr | A dataset of global tropical cyclone wind and surface wave measurements from buoy and satellite platforms |
| title_full_unstemmed | A dataset of global tropical cyclone wind and surface wave measurements from buoy and satellite platforms |
| title_short | A dataset of global tropical cyclone wind and surface wave measurements from buoy and satellite platforms |
| title_sort | dataset of global tropical cyclone wind and surface wave measurements from buoy and satellite platforms |
| url | https://doi.org/10.1038/s41597-024-02955-4 |
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