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    USE OF HIGH PERFORMANCE COMPUTING IN METEOROLOGY
    Proceedings of the Twelfth ECMWF Workshop
    Reading, UK, 30 October – 3 November 2006

    edited by George Mozdzynski (European Centre for Medium-Range Weather Forecasts, UK)

    Table of Contents (55k)
    Preface (49k)
    Chapter 1: Computational Efficiency of the Ecmwf Forecasting System (2,417k)

    Geosciences particularly numerical weather predication, are demanding the highest levels of computer power available. The European Centre for Medium-Range Weather Forecasts, with its experience in using supercomputers in this field, organizes a workshop every other year bringing together manufacturers, computer scientists, researchers and operational users to share their experiences and to learn about the latest developments. This volume provides an excellent overview of the latest achievements and plans for the use of new parallel techniques in the fields of meteorology, climatology and oceanography.

     
    Contents:
    • Computational Efficiency of the ECMWF Forecasting System (D Salmond)
    • Recent Developments of NCEP GFS for High Performance Computing (H-M H Juang)
    • Multi-Scale Coupled Atmosphere-Ocean GCM and Simulations (K Takahashi)
    • Progress with the GEMS Project (A Hollingsworth)
    • Variational Kalman Filtering on Parallel Computers (H Auvinen et al.)
    • A New Partitioning Approach for ECMWF's Integrated Forecasting System (IFS) (G Mozdzynski)
    • What SMT Can Do for You (J Hague)
    • Efficient Coupling of Iterative Models (R W Ford et al.)
    • Analytic MPI Scalability on a Flat Switch (G W Vandenberghe)
    • Role of Precision in Meteorological Computing: A Study Using the NMITLI Varsha GCM (T N Venkatesh & U N Sinha)
    • and other papers
     
    Readership: Graduate students, academics and researchers specializing in high performance computing, especially meteorological scientists and supercomputer manufacturers.
     
     
    284pp    Pub. date: Oct 2007  
    ISBN:   978-981-277-588-7
    981-277-588-9
       US$310 / £204

     


    284pp    Pub. date: Oct 2007  
    ISBN:   978-981-277-589-4(ebook)
    981-277-589-7(ebook)
       US$403

     


     

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