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Parameterization Schemes: Keys to Understanding Numerical Weather Prediction Models ReviewI 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.
Parameterization Schemes: Keys to Understanding Numerical Weather Prediction Models OverviewNumerical 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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