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{ "item_title" : "Modeling Methods for Marine Science", "item_author" : [" David M. Glover", "William J. Jenkins", "Scott C. Doney "], "item_description" : "This advanced textbook on modeling, data analysis and numerical techniques for marine science has been developed from a course taught by the authors for many years at the Woods Hole Oceanographic Institute. The first part covers statistics: singular value decomposition, error propagation, least squares regression, principal component analysis, time series analysis and objective interpolation. The second part deals with modeling techniques: finite differences, stability analysis and optimization. The third part describes case studies of actual ocean models of ever increasing dimensionality and complexity, starting with zero-dimensional models and finishing with three-dimensional general circulation models. Throughout the book the general principles and goals of scientific visualization are emphasized through technique and application. Ideal as a textbook for advanced students of oceanography on courses in data analysis and numerical modeling, the book is also an invaluable resource for a broad range of scientists undertaking modeling in chemical, biological, geological and physical oceanography.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/52/186/783/0521867835_b.jpg", "price_data" : { "retail_price" : "117.00", "online_price" : "117.00", "our_price" : "117.00", "club_price" : "117.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Modeling Methods for Marine Science|David M. Glover

Modeling Methods for Marine Science

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Overview

This advanced textbook on modeling, data analysis and numerical techniques for marine science has been developed from a course taught by the authors for many years at the Woods Hole Oceanographic Institute. The first part covers statistics: singular value decomposition, error propagation, least squares regression, principal component analysis, time series analysis and objective interpolation. The second part deals with modeling techniques: finite differences, stability analysis and optimization. The third part describes case studies of actual ocean models of ever increasing dimensionality and complexity, starting with zero-dimensional models and finishing with three-dimensional general circulation models. Throughout the book the general principles and goals of scientific visualization are emphasized through technique and application. Ideal as a textbook for advanced students of oceanography on courses in data analysis and numerical modeling, the book is also an invaluable resource for a broad range of scientists undertaking modeling in chemical, biological, geological and physical oceanography.

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Details

  • ISBN-13: 9780521867832
  • ISBN-10: 0521867835
  • Publisher: Cambridge University Press
  • Publish Date: June 2011
  • Dimensions: 9.8 x 6.9 x 1.2 inches
  • Shipping Weight: 2.85 pounds
  • Page Count: 588

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