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Atmospheric Modeling, Data Assimilation and Predictability Paperback – November 7, 2002

ISBN-13: 978-0521796293 ISBN-10: 0521796296 Edition: 1st

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Product Details

  • Paperback: 364 pages
  • Publisher: Cambridge University Press; 1 edition (November 7, 2002)
  • Language: English
  • ISBN-10: 0521796296
  • ISBN-13: 978-0521796293
  • Product Dimensions: 6.8 x 0.8 x 9.7 inches
  • Shipping Weight: 1 pounds (View shipping rates and policies)
  • Average Customer Review: 3.0 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Best Sellers Rank: #1,534,107 in Books (See Top 100 in Books)

Editorial Reviews

Review

"...this book is an excellent reference for statisticians interested in dynamical systems and/or spatiotemporal processes in the environment." TECHNOMETRICS, Christopher K. Wikle

Book Description

This comprehensive text and reference work on numerical weather prediction covers for the first time, not only methods for numerical modeling, but also the important related areas of data assimilation and predictability. It incorporates all aspects of environmental computer modeling and provides a clear discussion of the problems of predictability and chaos in dynamical systems and how they can be applied to atmospheric and oceanic systems. Professors and students of meteorology, atmospheric science, oceanography, hydrology and environmental science will find much to interest them in this book.

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Most Helpful Customer Reviews

15 of 16 people found the following review helpful By Cody Kirkpatrick on January 24, 2005
Format: Paperback
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.
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2 of 3 people found the following review helpful By Srikumar Sandeep on April 2, 2010
Format: Paperback Verified Purchase
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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3 of 6 people found the following review helpful By Debra R. Baker on September 10, 2004
Format: Paperback Verified Purchase
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.
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1 of 5 people found the following review helpful By Sylvia N. Hasui on June 15, 2009
Format: Paperback Verified Purchase
The scientist that I ordered this for really love the book. It came very quickly and in good shape.
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