Advancing Rainfall Science from Observational Frontiers to AI-Driven Technology

Von:

Ma, Lei-Ming [VerfasserIn]

Mitwirkende(r):

Ma, Lei-Ming [HerausgeberIn]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Earth Sciences ; 9Verlag: [Erscheinungsort nicht ermittelbar] : IntechOpen : IntechOpen [Imprint], 2025Beschreibung: 1 Online-Ressource (1 electronic resource 122 p.)ISBN:

9781836353218
9781836353225
9781836353232

Schlagwörter:

Online-Ressourcen:

Volltext frei verfügbar

Zusammenfassung: 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.PPN: PPN: 1983977268Package identifier: Produktsigel: ZDB-94-OAB

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Open Access. Unrestricted online access star

Namensnennung 3.0 Unported CC BY 3.0 cc:

https://creativecommons.org/licenses/by/3.0/

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