TY - BOOK
T1 - Parameterization schemes
T2 - Keys to understanding numerical weather prediction models
AU - Stensrud, David J.
N1 - Publisher Copyright:
© D. Stensrud 2007.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2011/1/1
Y1 - 2011/1/1
N2 - 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.
AB - 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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U2 - 10.1017/CBO9780511812590
DO - 10.1017/CBO9780511812590
M3 - Book
AN - SCOPUS:84922626645
SN - 0521865409
SN - 9780521865401
VL - 9780521865401
BT - Parameterization schemes
PB - Cambridge University Press
ER -