Parameterization Schemes: Keys to Understanding Numerical Weather Prediction Models - Rilegato

Stensrud, David J.

Rilegato

ISBN 10: 0521865409 ISBN 13: 9780521865401

Casa editrice: Cambridge University Press, 2007

Riassunto

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.

Su questo libro

Recensione:

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.' Meteorologische Zeitschrift

Descrizione del libro:

This book provides in-depth explorations of the most commonly used types of parameterization schemes. It summarises and compares several parameterizations. 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.

Su questa edizione

• Editore: Cambridge University Press
• Data di pubblicazione: 2007
• ISBN 10: 0521865409
• ISBN 13: 9780521865401
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 478