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.
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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