Data assimilation and its applications

著者

書誌事項

Data assimilation and its applications

edited by Maithili Sharan and Jean Pierre Issartel

(Pageoph topical volumes)

Birkhäuser, 2012

  • pbk
  • e-book

統一タイトル

Pure and applied geophysics

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注記

Previously published in Pure and applied geophysics (PAGEOPH), volume 169,No.3, (2012)

内容説明・目次

内容説明

Data assimilation is a novel, versatile methodology for estimating atmospheric and oceanic variables. The estimation of a quantity of interest via data assimilation involves the combination of observational data with the underlying dynamical principles governing the system under observation. This volume contains many original findings in data assimilation and its applications related to atmospheric, oceanic and environmental systems. This covers various data assimilation techniques with in Bayesian and non-Bayesian framework ranging from Least-Square, nudging, three dimensional variational (3DVAR), four-dimensional variational (4DVAR), Local Ensemble Kalman filter, Genetic algorithm etc. This also covers the applications to extreme weather event, hurricane, Asian summer monsoon, structure of the barrier layer in the equatorial Pacific ocean and identification of emission sources. This volume will be useful as a reading material in graduate level courses dealing with data assimilation and its application to meteorology, ocean and air quality. The scientific community at large especially younger scientists will find this book a useful addition to their personal and institutional libraries.

目次

Preface.- A. General Techniques.- B. Data Assimilation with Applications to the Atmosphere.- C. Data Assimilation with Applications to Air Quality.- D. Data Assimilation with Applications to the Ocean.

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詳細情報

  • NII書誌ID(NCID)
    BB11087522
  • ISBN
    • 9783034804417
    • 9783034804424
  • 出版国コード
    gw
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    Basel
  • ページ数/冊数
    286 p.
  • 大きさ
    26 cm
  • 親書誌ID
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