A useful book | Parameterization Schemes: Keys to Understanding Numerical Weather Prediction Models

book: Parameterization Schemes: Keys to Understanding Numerical Weather Prediction Models | David J. Stensrud

books:


	• Parameterization Schemes: Keys to Understanding Numerical Weather Prediction Models David J. Stensrud Cambridge University Press, 2009 - 480 pages average customer review:based on 2 reviews view larger image
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Excellent Reference for Anyone working on Numerical Weather/Climate Prediction

I am so thankful that this book was written. I am a graduate student working on mesoscale meteorology models and good summaries of the many physics options was hard to find. This book fills that gap. It covers parameterization of land surface, soil & vegetation, water, surface layer & planetary boundary layer, convection, microphysics, radiation, clouds, and gravity waves. It is extremely well written (I read it cover to cover). It gives qualitative evaluations along with the necessary equations. The author reviews the basic science behind each type of parameterization at the beginning of each chapter, which avoids having to look back at other books for this information. The variables are defined after EACH equation so no having to look back to know what a letter stands for (every book should do this!). He also avoids unnecessary acronyms. He gives practical advices, such as at what resolution you should run convective vs. microphysics parameterizations. He also includes information on parameterizations for climate models.I highly recommend this book for anyone running NWP models.

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A useful book

This book is of great help for students working on numerical weather prediction. It offers sufficient details to better understand parameterization schemes used today in many weaher prediction models.

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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