Grid Computing in Meteorology

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Details

This book concentrates on two aspects of numerical, meteorological limited area models. One is their implementation on the computing platform Grid. The second evaluates the adequacy of the numerical formulation of different parts of the model. Grids interlace different organizations to reach the common goal of an efficient high performance computing environment. The project MeteoAG, embedded in the national project AustrianGrid, establishes a workflow to be executed in Grid environments. MeteoAG aims at the high performance computing part of Grids. It produces a high resolution reanalyses precipitation database of past heavy precipitation cases in the Austrian Arlberg region. In the second part, a set of seven test cases is used to check different areas of the numerical representation of an atmospheric model. The tests are implemented according to basic principles as easy evaluation, easy configuration and a comprehensive range of tested model aspects. Each case includes a proposed reference solution, and is applied to the limited area model RAMS. The book aims at scientists and users in the fields of meteorology, applied computer science and computational fluid dynamics.

Autorentext

Felix Schüller. Born 1979. From 2001 until 2007 Felix Schüller studied Meteorology and Geophysics at the Leopold-Franzens University in Innsbruck. From 2005 till 2008 he worked as research assistant in the mountain meteorology group, and was funded by the national research project AustrianGrid.

Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Titel Grid Computing in Meteorology
    • ISBN 978-3-639-00045-0
    • Format Kartonierter Einband (Kt)
    • EAN 9783639000450
    • Jahr 2013
    • Größe H220mm x B8mm x T150mm
    • Autor Felix Schüller
    • Untertitel Grid Computing with - and Standard Test Cases for - a Meteorological Limited Area Model
    • Genre Naturwissenschaften allgemein
    • Anzahl Seiten 136
    • Herausgeber VDM Verlag Dr. Müller e.K.
    • Gewicht 219g
    • GTIN 09783639000450

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