Paperback
Provides readers with information necessary to construct spectral NWP models; a self-contained, well-documented, coded spectral NWP model; and theoretical and practical exercises, some of which include solutions.

Spectral Numerical Weather Prediction Models

$326.34

  • Paperback

    523 pages

  • Release Date

    30 December 2011

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Summary

This book provides a comprehensive overview of numerical weather prediction (NWP) focusing on the application of the spectral method in NWP models. The author illustrates the use of the spectral method in theory as well as in its application to building a full prototypical spectral NWP model, from the formulation of continuous model equations through development of their discretized forms to coded statements of the model.

The author describes the implementation of a specific model – PEAK (Primitive-Equation Atmospheric Research Model Kernel) – to illustrate the steps needed to construct a global spectral NWP model. The book brings together all the spectral, time, and vertical discretization aspects relevant for such a model.

Spectral Numerical Weather Prediction Models provides readers with:

  • Information necessary to construct spectral NWP models.
  • A self-contained, well-documented, coded spectral NWP model.
  • Theoretical and practical exercises, some of which include solutions.

    Book Details

    ISBN-13:9781611971989
    ISBN-10:1611971985
    Author:Martin Ehrendorfer
    Publisher:Society for Industrial & Applied Mathematics,U.S.
    Imprint:Society for Industrial & Applied Mathematics,U.S.
    Format:Paperback
    Number of Pages:523
    Release Date:30 December 2011
    Weight:930g
    Dimensions:27mm x 175mm x 251mm
    A-Format
    B-Format
    C-Format
    Spectral Numerical Weather Prediction Models by Martin Ehrendorfer - ISBN: 9781611971989
    175 × 251 mm
    A4
    mm / in
    About The Author

    Martin Ehrendorfer

    Martin Ehrendorfer has worked on atmospheric dynamics and numerical models for more than two decades at the University of Vienna, the University of Innsbruck, the University of Reading, the National Centre for Atmospheric Research and the European Centre for Medium-Range Weather Forecasts.

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