Advancing Rainfall Science from Observational Frontiers to AI-Driven Technology
This book brings together global insights on how technology innovation, such as artificial intelligence (AI), is changing the way we study rainfall. As extreme rain events become more frequent due to climate change, traditional methods of observing, predicting, and managing related disasters are str...
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| Materyal Türü: | Online |
|---|---|
| Dil: | İngilizce |
| Baskı/Yayın Bilgisi: |
IntechOpen
2026
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| Konular: | |
| Online Erişim: | 3049-8848 |
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| _version_ | 1869524622826799104 |
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| collection | Directory of Open Access Books |
| description | This book brings together global insights on how technology innovation, such as artificial intelligence (AI), is changing the way we study rainfall. As extreme rain events become more frequent due to climate change, traditional methods of observing, predicting, and managing related disasters are struggling to keep pace. That is where this book steps in, exploring how AI helps process large amounts of weather data, identify patterns, and make more accurate forecasts. It covers key areas, including improving rainfall measurements, creating more reliable predictions, and utilizing AI to reduce disaster risks. What makes this book stand out is its focus on real-world applications, connecting cutting-edge AI tools with practical needs in fields such as flood management and water resource management. With contributions from experts worldwide, it provides a clear and collaborative perspective on how AI can enhance our ability to address rainfall challenges. Whether you are a researcher, student, or professional working with weather and disasters, this book provides easy-to-follow insights into the latest AI-driven solutions that matter for our changing climate. |
| format | Online |
| id | doab-20.500.12854ir-171891 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1718912026-02-12T17:23:26Z Advancing Rainfall Science from Observational Frontiers to AI-Driven Technology Ma, Lei-Ming Science / Earth Sciences / General thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences This book brings together global insights on how technology innovation, such as artificial intelligence (AI), is changing the way we study rainfall. As extreme rain events become more frequent due to climate change, traditional methods of observing, predicting, and managing related disasters are struggling to keep pace. That is where this book steps in, exploring how AI helps process large amounts of weather data, identify patterns, and make more accurate forecasts. It covers key areas, including improving rainfall measurements, creating more reliable predictions, and utilizing AI to reduce disaster risks. What makes this book stand out is its focus on real-world applications, connecting cutting-edge AI tools with practical needs in fields such as flood management and water resource management. With contributions from experts worldwide, it provides a clear and collaborative perspective on how AI can enhance our ability to address rainfall challenges. Whether you are a researcher, student, or professional working with weather and disasters, this book provides easy-to-follow insights into the latest AI-driven solutions that matter for our changing climate. 2026-02-12T17:23:23Z 2026-02-12T17:23:23Z 2025 book 3049-8848 9781836353218 9781836353225 9781836353232 https://directory.doabooks.org/handle/20.500.12854/171891 eng Earth Sciences image/jpeg n/a https://www.intechopen.com/books/1004756 https://intech-files.s3.amazonaws.com/a04Tc00000BcX3MIAV/0016660_Authors_Book%20%282025-10-02%2011%3A04%3A03%29.pdf IntechOpen IntechOpen 10.5772/intechopen.1008108 10.5772/intechopen.1008108 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781836353218 9781836353225 9781836353232 IntechOpen 9 122 open access |
| spellingShingle | Science / Earth Sciences / General thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences Advancing Rainfall Science from Observational Frontiers to AI-Driven Technology |
| title | Advancing Rainfall Science from Observational Frontiers to AI-Driven Technology |
| title_full | Advancing Rainfall Science from Observational Frontiers to AI-Driven Technology |
| title_fullStr | Advancing Rainfall Science from Observational Frontiers to AI-Driven Technology |
| title_full_unstemmed | Advancing Rainfall Science from Observational Frontiers to AI-Driven Technology |
| title_short | Advancing Rainfall Science from Observational Frontiers to AI-Driven Technology |
| title_sort | advancing rainfall science from observational frontiers to ai driven technology |
| topic | Science / Earth Sciences / General thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences |
| topic_facet | Science / Earth Sciences / General thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences |
| url | 3049-8848 |