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Numerical Weather and Climate Prediction, by Thomas Tomkins Warner
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This textbook provides a comprehensive yet accessible treatment of weather and climate prediction, for graduate students, researchers and professionals. It teaches the strengths, weaknesses and best practices for the use of atmospheric models. It is ideal for the many scientists who use such models across a wide variety of applications. The book describes the different numerical methods, data assimilation, ensemble methods, predictability, land-surface modeling, climate modeling and downscaling, computational fluid-dynamics models, experimental designs in model-based research, verification methods, operational prediction, and special applications such as air-quality modeling and flood prediction. This volume will satisfy everyone who needs to know about atmospheric modeling for use in research or operations. It is ideal both as a textbook for a course on weather and climate prediction and as a reference text for researchers and professionals from a range of backgrounds: atmospheric science, meteorology, climatology, environmental science, geography, and geophysical fluid mechanics/dynamics.
- Sales Rank: #1239465 in Books
- Brand: Brand: Cambridge University Press
- Published on: 2011-01-17
- Original language: English
- Number of items: 1
- Dimensions: 9.69" h x 1.18" w x 7.44" l, 2.91 pounds
- Binding: Hardcover
- 550 pages
- Used Book in Good Condition
Review
'Numerical Weather and Climate Prediction is an excellent book for those who want a comprehensive introduction to numerical modeling of the atmosphere and Earth system, whether their interest is in weather forecasting, climate modeling, or many other applications of numerical models. The book is comprehensive, well written, and contains clear and informative illustrations.' Dr. Richard A. Anthes, President, University Corporation for Atmospheric Research, Boulder
'Tom Warner's book is a rich, effectively written and comprehensive detailed summary of the field of atmospheric modeling from local to global scales. It should be in the library of all meteorologists, climate researchers, and other scientists who are interested in the capabilities, strengths and weaknesses of modeling.' Professor Roger A. Pielke, Sr., Department of Atmospheric Science, Colorado State University, Fort Collins
'Tom Warner has taught Numerical Weather and Climate Prediction courses for over thirty years at Pennsylvania State University and the University of Colorado at Boulder. He also has been one of the principle developers of numerical models widely used in the atmospheric science community, and has a long history of applying such codes. This extensive background gives Professor Warner a unique insight into how models work, how to use them, where their problems lie, and how to explain all of this to students. His book assumes students have a basic understanding of atmospheric science. It covers all aspects of modeling one might expect, such as numerical techniques, but also some that might be unexpected such as ensemble modeling, initialization, and error growth. Today most students have become model users instead of model developers. Fewer and fewer peer into the models they use beyond the narrow regions that may directly interest them. With hundreds of thousands of lines of code, and groups of developers working on individual parts of the code, very few can say they truly understand all the parts of a model. Professor Warner's textbook should help both the student and the more advanced user of codes better appreciate and understand the numerical models that have come to dominate atmospheric science.' Professor Brian Toon, Chair, Department of Atmospheric and Oceanic Sciences, University of Colorado, Boulder
'Tom's new book covers an impressive range of need-to-know material spanning traditional and cutting-edge atmospheric modeling topics. It should be required reading for all model users and aspiring model developers, and it will be a required text for my NWP students.' Professor David R. Stauffer, Department of Meteorology, The Pennsylvania State University
'The book addresses many practical issues in modern numerical weather prediction. It is particularly suitable for the students and scientists who use numerical models for their research and applications. While there have already been a few excellent textbooks that provide fundamental theory of NWP, this book offers complementary materials, which is useful for understanding of key components of operational numerical weather forecasting.' Professor Zhaoxia Pu, Department of Atmospheric Sciences, University of Utah
About the Author
Tom Warner was a Professor in the Department of Meteorology at the Pennsylvania State University before accepting his current joint appointment with the National Center for Atmospheric Research and the University of Colorado in Boulder, Colorado. His career has involved teaching and research in numerical weather prediction and mesoscale meteorological processes. He has published on these and other subjects in numerous professional journals. His recent research and teaching has focused on atmospheric processes, operational weather prediction, and arid-land meteorology. He is the author of Desert Meteorology (2004), also published by Cambridge University Press.
Most helpful customer reviews
3 of 3 people found the following review helpful.
Good overview book, but look for depth elsewhere
By C. Evans
The strengths of this text lie in its breadth. Many topics, from the numerical frameworks used in modern NWP models to applications of output from said models, are covered within this text. However, with a few exceptions, only an introductory amount of material about each is presented within the text. In many instances, readers (or students) are referred to other texts for further details. (For example, in the chapter on physical parameterization packages, the reader is frequently referred to David Stensrud's "Parameterization Schemes" text.) Consequently, this text is best suited for an advanced undergraduate/introductory graduate-level survey course in NWP, and it excels at that. However, more advanced readers, particularly those specializing in NWP and/or its applications, will want to seek out other references to augment or replace this text.
Edit (11 September 2013): I revised my rating upward from three to four stars. In retrospect, I felt that the rating I gave to the text and my justification for doing so did not align with each other. As a result, I revised my rating upward to better reflect my impressions of the text. It is a very good text, subject to the limitations noted above, and one that I feel serves its audience well.
0 of 0 people found the following review helpful.
Good overview of numerical weather prediction
By rpenc01
OK, I might be a little biased, since it was T-squared-W (TTW, the author) who taught me in my first numerical weather prediction course at Penn State. For years, we had used Haltiner and Williams' treatise on the subject of NWP, but that book has become rather outdated in the last 20-30 years. I needed to update my perspective on the topic, and chose this book, after researching the alternatives. Warner's book came out on top. I've read the other reviews, and the primary concern is that it does not go too deep on any one topic, but the single graduate course in NWP is viewed as an overview. You get your specialized knowledge by applying it, and there are a host of weather models out there to "play" with. I started my career in the mid 1980's as a model developer at NASA, this immediately after taking Dr. Warner's graduate level NWP course. This book seems to be patterned after his curriculum in NWP, and brought up to date by covering areas such as data assimilation, 3DVAR, 4DVAR, etc. The text also covers such topics as ensemble Kalman filtering and ensemble methods, and provides insight into application of models to specialized applications. Coupled with documentation freely available on current models (i.e., WRF) this book is provides an excellent foundation for those intending to work in meteorological modeling. I also found the current version of Pielke's Mesoscale Meteorological Modeling a useful text, and Warner's, in combination with Pielke's, makes an excellent foundation for a meteorological modeler's standard reference library. The extensive references section also adds to the book's value. I highly recommend this book for anyone interested in meteorological modeling. I believe it to be an excellent overview of the topic, and thus give it 5 stars.
0 of 0 people found the following review helpful.
A good book written at a graduate level
By Neil F
Don't expect this book to simply give you code in order to write your own model. It outlines concepts and schemes that are used in modern numerical weather prediction models but it's up to you to generate code.
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