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Atmospheric Modeling, Data Assimilation and Predictability, by Eugenia Kalnay
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- Sales Rank: #1337197 in Books
- Brand: Brand: Cambridge University Press
- Published on: 2002-12-16
- Released on: 2002-11-07
- Original language: English
- Number of items: 1
- Dimensions: 9.72" h x .75" w x 6.85" l, 1.81 pounds
- Binding: Paperback
- 368 pages
- Used Book in Good Condition
Review
"... a frisson of excitement accompanied the rumour that Eugenia Kalnay was writing a new book. Expectations were high, since she is a renowned expert in the field. She has not disappointed us."
Science and Technology
"... quite wonderful, achieving a tremendous balance between comprehensiveness and readability. I am especially pleased with the numerical analysis part, which is crystal clear and shows the benefits of classroom testing. I also like the tiny little touches, like the stepped-on butterfly story and the mention that Poincaré knew about chaos in celestial mechanics. Your book fills an enormous hole in the literature of NWP [numerical weather prediction]."
Richard C. J. Somerville, Scripps Institution of Oceanography, San Diego
"Fantastic ... in content, format and practicability."
Kelvin K. Droegemeier, Regents' Professor of Meteorology, and Director, Center for Analysis and Prediction of Storms, University of Oklahoma
"[I] admire the clarity and pedagogic superiority of [this] presentation."
Anders Persson, Swedish Meteorological and Hydrological Institute (SMHI)
"... much better for learning about data assimilation than anything else currently available."
Richard Swinbank, United Kingdom Meteorological Office
"... [the] presentation is impeccable and is very accessible to non-meteorologists like me."
Eric Kostelich, University of Arizona
"... what a great wealth of historical information."
Lawrence Takacs, NASA, Data Assimilation Office
"... a delight to read ... It will be of great assistance to our community and should greatly encourage young scientists who may be thinking of entering the field ... the book will be of considerable value to people who are unable or unwilling to cope with mathematical technicalities. They can gain much by studying the expository sections of the text."
Peter Lynch, Assistant Director, Irish Weather Service
"... [the] method in the [data] assimilation section of starting with 'baby' examples, and then working up through the full analysis, is great for understanding. On the predictability part, the history, and the explanations of how the unstable perturbations grow is the best I've seen."
Alexander E. MacDonald, Director, NOAA Forecast Systems Lab
"... this book ... is extremely useful, informative, and well-written ... there are many instances where items that were only marginally familiar beforehand have now become very clear."
Brian O. Blanton, Senior Scientist/Oceanographer, University of North Carolina, Chapel Hill
About the Author
Eugenia Kalnay was awarded a Ph.D in Meteorology from the Massachusetts Institute of Technology in 1971. Following a position as Associate Professor in the same department, she became Chief of the Global Modeling and Simulation Branch at the NASA Goddard Space Flight Center (1983-1987). From 1987 to 1997 she was Director of the Environmental Modeling Center (US National Weather Service) and in 1998 was awarded the Robert E. Lowry endowed chair at the University of Oklahoma. In 1999 she became the Chair of the Department of Meteorology at the University of Maryland. Professor Kalnay is a member of the US National Academy of Engineering, is the recipient of two gold medals from the US Department of Commerce and the NASA Medal for Exceptional Scientific Achievement, and has received the Jule Charney Award from the American Meteorological Society. The author of more than 100 peer reviewed papers on numerical weather prediction, data assimilation and predictability, Professor Kalnay is a key figure in this field and has pioneered many of the essential techniques.
Most helpful customer reviews
3 of 6 people found the following review helpful.
Essential Guide for Data Assimilation
By Debra R. Baker
This is a textbook for graduate atmospheric science students, but I found it useful even as an undergraduate. Lots of clear explanations along with historical background, written by one the leaders of the numerical weather prediction field. She was involved in the implementation at NCEP. There is heavy-duty linear algebra in some chapters but overall this is not a math-intensive book. Good reference and extensive bibliography.
15 of 16 people found the following review helpful.
lacks coherence and the flow of a quality textbook
By Cody Kirkpatrick
I had this book for courses in numerical weather prediction and in data assimilation (DA), and was far from impressed.
While the historical overview in Chapter 1 is a pleasant read, the litany of errors in equations begins quickly in Chapter 2. Terms as simple as in the equations of motion are incorrect. Some things are unforgiveable in a textbook, and an error in a sophomore-level equation is one of them.
I can manage the mess of linear algebra in the text. However, Kalnay's writing style is more of one suited for lecture notes; she jumps around from topic to topic, and provides very little transition in some spots. Other locations in the notes that need further explanation (and probably would get it, if students could stop the author and ask questions), are left too vague. This is not the way to write a very good textbook, and I do not believe this book is anywhere near "very good."
I give it two stars, however, because it's the most current book in the field; there aren't many other places to turn for discussions on Kalman filters, etc. That said, if you are looking for a practical discussion of NWP or DA, or how to implement a DA scheme, you'll have a difficult time weeding it out of this book.
2 of 3 people found the following review helpful.
One of the worst book,I have ever bought
By Srikumar Sandeep
This is hardly a textbook. It is just a collection of references to various journals..thats all. Can someone tell me how can (5.3.8) be right?.
People who give more than 2 stars for this book, would probably know the things in book before or is reading the book like a bedtime story. Looks like a collection of lecture notes put into a book very quickly. PLEASE DONT BUY.
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