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Data Assimilation for the Earth System

  • Richard Swinbank
  • Victor Shutyaev
  • William Albert Lahoz

Part of the NATO Science Series book series (NAIV, volume 26)

Table of contents

  1. Front Matter
    Pages i-xii
  2. R. Swinbank
    Pages 1-8
  3. Peter Lynch
    Pages 97-111
  4. Peter Lynch
    Pages 113-126
  5. R. Swinbank
    Pages 137-148
  6. W. A. Lahoz
    Pages 149-166
  7. Pierre Gauthier, Clément Chouinard, Bruce Brasnett
    Pages 177-187
  8. W. A. Lahoz
    Pages 241-250
  9. Alan O’Neill
    Pages 251-252
  10. Boris Khattatov, Jean Francois Lamarque, Guy Brasseur, Geoff Tyndall, John Orlando
    Pages 253-262
  11. Richard B. Rood
    Pages 263-277
  12. Boris Khattatov
    Pages 279-288
  13. Keith Haines
    Pages 297-308
  14. Paul R. Houser
    Pages 321-329
  15. Paul R. Houser
    Pages 331-343
  16. Paul R. Houser
    Pages 345-360
  17. Richard B. Rood
    Pages 361-372
  18. Back Matter
    Pages 373-377

About these proceedings

Introduction

Data assimilation is the combination of information from observations and models of a particular physical system in order to get the best possible estimate of the state of that system. The technique has wide applications across a range of earth sciences, a major application being the production of operational weather forecasts. Others include oceanography, atmospheric chemistry, climate studies, and hydrology.
Data Assimilation for the Earth System is a comprehensive survey of both the theory of data assimilation and its application in a range of earth system sciences. Data assimilation is a key technique in the analysis of remote sensing observations and is thus particularly useful for those analysing the wealth of measurements from recent research satellites.
This book is suitable for postgraduate students and those working on the application of data assimilation in meteorology, oceanography and other earth sciences.

Keywords

Atmospheric chemistry Earth System Meteorology Ocean Oceanography hydrology

Editors and affiliations

  • Richard Swinbank
    • 1
  • Victor Shutyaev
    • 2
  • William Albert Lahoz
    • 3
  1. 1.Met OfficeBracknellUK
  2. 2.Institute of Numerical MathematicsRussian Academy of SciencesMoscowRussia
  3. 3.Data Assimilation Research CentreUniversity of ReadingReadingUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-010-0029-1
  • Copyright Information Kluwer Academic Publishers 2003
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4020-1593-9
  • Online ISBN 978-94-010-0029-1
  • Series Print ISSN 1568-1238
  • Buy this book on publisher's site
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