Atmospheric Modeling, Data Assimilation and Predictability download free [PDF and Ebook] by Eugenia Kalnay

Atmospheric Modeling, Data Assimilation and Predictability download free [PDF and Ebook] by Eugenia Kalnay year 2013
  • Book name: Atmospheric Modeling, Data Assimilation and Predictability
  • Author: Eugenia Kalnay
  • Release date: 2013/1/23
  • Publisher: CAMBRIDGE UNIVERSITY PRESS
  • Language: English
  • Genre or Collection: Natural History
  • ISBN: 9780521796293
  • Rating: 8.12 of 10
  • Votes: 870
  • Review by: Ingrid Loomis
  • Review rating: 8.98 of 10
  • Review Date: 2018/10/26
  • Total pages: 368
  • Includes a PDF summary of 36 pages
  • Description or summary of the book: This comprehensive text and reference work on numerical weather prediction, first published in 2002, covers not only methods for numerical modeling, but also the important related areas of data assimilation and predictability. It incorporates all aspects of environmental computer modeling including an historical overview of the subject, equations of motion and their approximations, a modern and clear description of numerical methods, and the determination of initial conditions using weather observations (an important science known as data assimilation). Finally, this book provides a clear discussion of the problems of predictability and chaos in dynamical systems and how they can be applied to atmospheric and oceanic systems. Professors and students in meteorology, atmospheric science, oceanography, hydrology and environmental science will find much to interest them in this book, which can also form the basis of one or more graduate-level courses.
  • Estimated reading time (average reader): 21H15M43S
  • Other categories, genre or collection: Meteorology & Climatology, Weather, Applied Mathematics
  • Available formats: PPT, DOC, ODT, TXT, PML, WORD, EPUB, PDF. Compressed in RAR, JAR, ZIP, ISO
  • Download servers: MEGA, FreakShare, Mediafire, BitShare, TinyUpload.com
  • Format: Paperback
  • Approximate value: 85.30 USD
  • Dimensions: 173x246x23mm
  • Weight: 820g
  • Printed by: Not Available
  • Published in: Cambridge, United Kingdom
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