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Dynamics and Predictability of Large-Scale, High-Impact Weather and Climate Events (Hardcover) Loot Price: R2,642
Discovery Miles 26 420
Dynamics and Predictability of Large-Scale, High-Impact Weather and Climate Events (Hardcover): Jian-Ping Li, Richard Swinbank,...

Dynamics and Predictability of Large-Scale, High-Impact Weather and Climate Events (Hardcover)

Jian-Ping Li, Richard Swinbank, Richard Grotjahn, Hans Volkert

Series: Special Publications of the International Union of Geodesy and Geophysics

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Loot Price R2,642 Discovery Miles 26 420 | Repayment Terms: R248 pm x 12*

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Based largely on an International Commission on Dynamical Meteorology (ICDM) workshop, this timely volume, written by leading researchers in the field, covers a range of important research issues related to high-impact weather and extreme climate events. Dynamical linkages between these extremes and various atmospheric and ocean phenomena are examined, including Atlantic Multidecadal, North Atlantic, and Madden-Julian Oscillations; Annular Modes; tropical cyclones; and Asian monsoons. This book also examines the predictability of high-impact weather and extreme climate events on multiple time scales. Highlighting recent research and new advances in the field, this book enhances understanding of dynamical and physical processes associated with these events to help managers and policy makers make informed decisions to manage risk and prevent or mitigate disasters. It also provides guidance on future research directions in atmospheric science, meteorology, climate science, and weather forecasting, for experts and young scientists.

General

Imprint: Cambridge UniversityPress
Country of origin: United Kingdom
Series: Special Publications of the International Union of Geodesy and Geophysics
Release date: March 2016
Editors: Jian-Ping Li • Richard Swinbank • Richard Grotjahn • Hans Volkert
Dimensions: 283 x 225 x 23mm (L x W x T)
Format: Hardcover
Pages: 370
ISBN-13: 978-1-107-07142-1
Categories: Books > Earth & environment > Earth sciences > Meteorology > General
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LSN: 1-107-07142-9
Barcode: 9781107071421

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