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> Atmospheric Modeling, Data Assimilation and Predictability

Atmospheric Modeling, Data Assimilation and Predictability

Authors

Eugenia Kalnay, University of Maryland, College Park
Published 2002

Description

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…

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Key features

  • A much-needed update in the subject of atmospheric modeling
  • Emphasis is on clear and intuitive descriptions of the basic concepts with simple examples and excellent schematic figures
  • The introductory chapter is complete in itself and can form the basis of an undergraduate course on numerical weather forecasting with use of few equations
  • The chapters on numerical methods, data assimilation and predictability are also stand-alone and can constitute the basis for a full graduate course

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