Empirical Methods in Short-Term Climate Prediction

Van Den Dool, Huug

ISBN 10: 0199202788 / ISBN 13: 9780199202782

Published by Oxford University Press, USA, 2007

About this Item

May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Seller Inventory # G0199202788I4N00

Bibliographic Details

• Title: Empirical Methods in Short-Term Climate Prediction
• Publisher: Oxford University Press, USA
• Publication Date: 2007
• Language: English
• ISBN 10: 0199202788
• ISBN 13: 9780199202782
• Binding: Hardcover
• Condition: Very Good
• Dust Jacket Condition: No Jacket
• Weight: 1.12 pounds

About this title

Synopsis

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.

About the Author

Huug van den Dool gained his PhD in Dynamical Meteorology from the University of Utrecht in 1975. He has since worked as a researcher at KNMI (Royal Netherlands Meteorological Institute), Scripps Institution of Oceanography, the University of Maryland, and as Chief of Prediction at the CPC (Climate Prediction Center). He is currently a principal scientist at CPC and an adjunct professor at the University of Maryland.