Covers characterization, impacts, drivers, and predictability of atmospheric rivers for a comprehensive overview
Leverages machine learning techniques to enhance understanding and prediction of ARs
Written for both students and professionals seeking an accessible yet rigorous resource
Includes practical examples and case studies for applied learning
Publisher Springer International Publishing AG ensures academic quality and currency
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Format: Paperback / softback Length: 74 pages Publication date: 23 June 2024 Publisher: Springer International Publishing AG
This book delves into the characterization, impacts, drivers, and predictability of atmospheric rivers (AR). The chapters help understand how these climate phenomena influence AR behavior, offering a nuanced perspective