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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.
|Publisher:||Cambridge University Press|
|Product dimensions:||6.60(w) x 9.60(h) x 1.10(d)|
Table of Contents
Preface; List of principal symbols and abbreviations; 1. Why study parameterization schemes?; 2. Land surface-atmosphere parameterizations; 3. Soil-vegetation-atmosphere parameterizations; 4. Water-atmosphere parameterizations; 5. Planetary boundary layer and turbulence parameterizations; 6. Convective parameterizations; 7. Microphysics parameterizations; 8. Radiation parameterizations; 9. Cloud cover and cloudy sky radiation parameterizations; 10. Orographic drag parameterizations; 11. Thoughts on the future; 12. References; Index.