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Understanding Atmospheric Rivers Using Machine Learning

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Book Synopsis Understanding Atmospheric Rivers Using Machine Learning by : Manish Kumar Goyal

Download or read book Understanding Atmospheric Rivers Using Machine Learning written by Manish Kumar Goyal. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:

Atmospheric Rivers

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Release : 2020-07-10
Genre : Science
Kind : eBook
Book Rating : 060/5 ( reviews)

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Book Synopsis Atmospheric Rivers by : F. Martin Ralph

Download or read book Atmospheric Rivers written by F. Martin Ralph. This book was released on 2020-07-10. Available in PDF, EPUB and Kindle. Book excerpt: This book is the standard reference based on roughly 20 years of research on atmospheric rivers, emphasizing progress made on key research and applications questions and remaining knowledge gaps. The book presents the history of atmospheric-rivers research, the current state of scientific knowledge, tools, and policy-relevant (science-informed) problems that lend themselves to real-world application of the research—and how the topic fits into larger national and global contexts. This book is written by a global team of authors who have conducted and published the majority of critical research on atmospheric rivers over the past years. The book is intended to benefit practitioners in the fields of meteorology, hydrology and related disciplines, including students as well as senior researchers.

Clouds and Climate

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Release : 2020-08-20
Genre : Mathematics
Kind : eBook
Book Rating : 075/5 ( reviews)

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Book Synopsis Clouds and Climate by : A. Pier Siebesma

Download or read book Clouds and Climate written by A. Pier Siebesma. This book was released on 2020-08-20. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive overview of research on clouds and their role in our present and future climate, for advanced students and researchers.

Aerosol Atmospheric Rivers

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Book Rating : 581/5 ( reviews)

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Book Synopsis Aerosol Atmospheric Rivers by : Manish Kumar Goyal

Download or read book Aerosol Atmospheric Rivers written by Manish Kumar Goyal. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:

Flood Forecasting Using Machine Learning Methods

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Release : 2019-02-28
Genre : Technology & Engineering
Kind : eBook
Book Rating : 486/5 ( reviews)

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Book Synopsis Flood Forecasting Using Machine Learning Methods by : Fi-John Chang

Download or read book Flood Forecasting Using Machine Learning Methods written by Fi-John Chang. This book was released on 2019-02-28. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, the degree and scale of flood hazards has been massively increasing as a result of the changing climate, and large-scale floods jeopardize lives and properties, causing great economic losses, in the inundation-prone areas of the world. Early flood warning systems are promising countermeasures against flood hazards and losses. A collaborative assessment according to multiple disciplines, comprising hydrology, remote sensing, and meteorology, of the magnitude and impacts of flood hazards on inundation areas significantly contributes to model the integrity and precision of flood forecasting. Methodologically oriented countermeasures against flood hazards may involve the forecasting of reservoir inflows, river flows, tropical cyclone tracks, and flooding at different lead times and/or scales. Analyses of impacts, risks, uncertainty, resilience, and scenarios coupled with policy-oriented suggestions will give information for flood hazard mitigation. Emerging advances in computing technologies coupled with big-data mining have boosted data-driven applications, among which Machine Learning technology, with its flexibility and scalability in pattern extraction, has modernized not only scientific thinking but also predictive applications. This book explores recent Machine Learning advances on flood forecast and management in a timely manner and presents interdisciplinary approaches to modelling the complexity of flood hazards-related issues, with contributions to integrative solutions from a local, regional or global perspective.

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