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  <titleInfo>
    <title>Modeling Methods for Marine Science / [electronic resource]</title>
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  <name type="personal">
    <namePart>Glover, David M.</namePart>
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    <role>
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  <name type="personal">
    <namePart>Jenkins, William J.</namePart>
    <role>
      <roleTerm type="text">author.</roleTerm>
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  <name type="personal">
    <namePart>Doney, Scott C.</namePart>
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    <dateIssued encoding="marc">2011</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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    <extent>1 online resource (588 pages) : digital, PDF file(s).</extent>
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  <abstract>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 hands-on computational examples are introduced using the MATLAB programming language and the principles of scientific visualization are emphasised. 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.</abstract>
  <note type="statement of responsibility">David M. Glover, William J. Jenkins, Scott C. Doney.</note>
  <note>Title from publisher's bibliographic system (viewed on 09 Oct 2015).</note>
  <classification authority="lcc">GC10.4.M36  G57 2011</classification>
  <classification authority="ddc" edition="22">551.46015118</classification>
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  <identifier type="isbn">9780511975721 (ebook)</identifier>
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  <identifier type="uri">http://dx.doi.org/10.1017/CBO9780511975721</identifier>
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