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Empirical Methods in Short-Term Climate Prediction (Hardcover, New) Loot Price: R3,672
Discovery Miles 36 720
Empirical Methods in Short-Term Climate Prediction (Hardcover, New): Huug van den Dool

Empirical Methods in Short-Term Climate Prediction (Hardcover, New)

Huug van den Dool

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Loot Price R3,672 Discovery Miles 36 720 | Repayment Terms: R344 pm x 12*

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This clear and accessible text describes the methods underlying short-term climate prediction at time scales of 2 weeks to a year. Although a difficult range to forecast accurately, there have been several important advances in the last ten years, most notably in understanding ocean-atmosphere interaction (El Nino for example), the release of global coverage data sets, and in prediction methods themselves. With an emphasis on the empirical approach, the text covers in detail empirical wave propagation, teleconnections, empirical orthogonal functions, and constructed analogue. It also provides a detailed description of nearly all methods used operationally in long-lead seasonal forecasts, with new examples and illustrations. The challenges of making a real time forecast are discussed, including protocol, format, and perceptions about users. Based where possible on global data sets, illustrations are not limited to the Northern Hemisphere, but include several examples from the Southern Hemisphere. Includes foreword by Professor Edward Lorenz (Massachusetts Institute of Technology).

General

Imprint: Oxford UniversityPress
Country of origin: United Kingdom
Release date: December 2006
First published: February 2007
Authors: Huug van den Dool
Dimensions: 240 x 160 x 17mm (L x W x T)
Format: Hardcover
Pages: 240
Edition: New
ISBN-13: 978-0-19-920278-2
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
Books > Science & Mathematics > Physics > Applied physics & special topics > Atmospheric physics
Books > Earth & environment > Earth sciences > Meteorology > General
LSN: 0-19-920278-8
Barcode: 9780199202782

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