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  1. Home
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  3. Parameterization Schemes
  • Cited by 238
  • David J. Stensrud, National Oceanic and Atmospheric Administration, Norman, Oklahoma
Publisher:
Cambridge University Press
Online publication date:
September 2013
Print publication year:
2007
Online ISBN:
9780511812590
DOI:
https://doi.org/10.1017/CBO9780511812590
Subjects:
Atmospheric Science and Meteorology, Mathematics, Earth and Environmental Sciences, Mathematical Modeling and Methods
Information

Book description

Numerical weather prediction models play an increasingly important role in meteorology, both in short- and medium-range forecasting and global climate change studies. The most important components of any numerical weather prediction model are the subgrid-scale parameterization schemes, and the analysis and understanding of these schemes is a key aspect of numerical weather prediction. This book provides in-depth explorations of the most commonly used types of parameterization schemes that influence both short-range weather forecasts and global climate models. Several parameterizations are summarised and compared, followed by a discussion of their limitations. Review questions at the end of each chapter enable readers to monitor their understanding of the topics covered, and solutions are available to instructors at www.cambridge.org/9780521865401. This will be an essential reference for academic researchers, meteorologists, weather forecasters, and graduate students interested in numerical weather prediction and its use in weather forecasting.

Reviews

Review of the hardback:'… Stensrud's book is principally a good and well-edited book. It fills a gap as a comparable volume is presently not available on the market. It fits well as a first course to convey the basic ideas and problems one encounters when heading at closing numerical models for subgrid-scale processes. It is well suited to introduce one of the key problems in numerical simulation of geophysical flows. It is probably also a good book for all those who have to deal with large-scale weather forecast and climate models.'

Source: Meteorologische Zeitschrift

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