Research Catalog

Title

Empirical methods in short-term climate prediction / Huug van den Dool.

Author

Van den Dool, Huug M.

Publication

Oxford ; New York : Oxford University Press, c2007.

Items in the Library & Off-site

Holdings

Details

Description

xxiii, 215 p., [12] p. of plates : ill., maps (some col.); 24 cm.

Summary

"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."--BOOK JACKET.

Subject

Long-range weather forecasting > Mathematical models

Genre/Form

Electronic books.

Bibliography (note)

• Includes bibliographical references (p. [189]-199) and index.

Processing Action (note)

• committed to retain

Contents

Foreword / Edward N. Lorenz -- Preface -- Introduction -- Background on orthogonal functions and covariance -- Empirical wave propagation -- Teleconnections -- Empirical orthogonal functions -- Degrees of freedom -- Analogues -- Methods in short-term climate prediction -- The practice of short-term climate prediction -- Conclusion.

ISBN

• 9780199202782
• 0199202788

LCCN

^^2007275081

OCLC

• 71163799
• SCSB-10104083

Owning Institutions

Harvard Library