Parameterization Schemes
Keys to Understanding Numerical Weather Prediction Models
- English
- PDF
- Available on iOS & Android
About This Book
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.
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Table of contents
- Cover
- PARAMETERIZATION SCHEMES: KEYS TO UNDERSTANDING NUMERICAL WEATHER PREDICTION MODELS
- Title
- Copyright
- Dedication
- Contents
- Preface
- List of principal symbols and abbreviations
- 1 Why study parameterization schemes?
- 2 Land surfaceâatmosphere parameterizations
- 3 Soilâvegetationâatmosphere parameterizations
- 4 Waterâatmosphere 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
- References
- Index