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Modeling Methods for Marine Science Hardcover – July 11, 2011


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Product Details

  • Hardcover: 588 pages
  • Publisher: Cambridge University Press (July 11, 2011)
  • Language: English
  • ISBN-10: 0521867835
  • ISBN-13: 978-0521867832
  • Product Dimensions: 9.8 x 7.1 x 1.2 inches
  • Shipping Weight: 2.9 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #1,010,950 in Books (See Top 100 in Books)

Editorial Reviews

Review

"This textbook can be considered as a reference in data analysis and numerical modeling. For readers who are interested in the numerical side of marine science, this book presents lots of methods and provides numerous useful tools...Its readability makes it an excellent manual that I would definitely recommend around me, both for students and for researchers" - Virginie Raybaud, Limnology and Oceanography Bulletin

"I learned some new things from this book, especially about geochemistry..I believe that no other book covers the same topics as this book does, so in that sense it is unique...I very highly recommend this book for use in courses that cover modeling methods in oceanography or geophysics, and to researches." - Peter Gent, Bulletin of the American Meteorological Society, July 2012

Book Description

Textbook on modeling, data analysis and numerical techniques for advanced students of oceanography, and an invaluable resource for a broad range of scientists undertaking modeling in chemical, biological, geological and physical oceanography.

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2 of 2 people found the following review helpful By Fundi on August 11, 2011
Format: Hardcover Verified Purchase
This book covers everything from how to compute a mean, to spatial statistics, to finite difference and numerical integration. It thus provides a thorough introduction to many of the key analytical skills needed by a quantitative marine scientist---or really any Earth System scientist. Significantly, the approach in the book is very much example driven, and accompanied by sample MATLAB scripts; this contributes to the development of students' individual analytical libraries, leaving them with both understanding and capacity. Highly recommended.
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0 of 1 people found the following review helpful By jjnbos on January 14, 2012
Format: Hardcover Verified Purchase
I have a PhD in geophysics from Scripps / UCSD. I loved my classes in Inverse Theory there. When I'm processing real data, this is the book I reach for.
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