Understanding Atmospheric Rivers Using Machine Learning

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 on climate modeling and prediction. Read More

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 on climate modeling and prediction. Read Less

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  	This is a digital edition of this title. Rent eBook (5 Options) 30 Day Rental: £12.29 (Expires Nov 26, 2025) 60 Day Rental: £16.38 (Expires Dec 26, 2025) 90 Day Rental: £20.48 (Expires Jan 25, 2026) 120 Day Rental: £24.57 (Expires Feb 24, 2026) 180 Day Rental: £26.62 (Expires Apr 25, 2026) Buy eBook Lifetime Access: £40.94 Title: Understanding Atmospheric Rivers Using Machine Learning by Manish Kumar Goyal; Shivam Singh Publisher: Springer Nature Print ISBN: 9783031634772, 3031634772 eText ISBN: 9783031634789 Edition: 2024 2024 edition Format: EPUB eBook	£12.29 Rent eBook This is a digital eBook Nothing will be shipped to you Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices Most eBooks are returnable within 14 days of purchase Questions? See our eBook FAQ