• DocumentCode
    1314004
  • Title

    The Hirlam project [meteorology]

  • Author

    Cats, Gerard ; Wolters, Lex

  • Author_Institution
    R. Netherlands Meteorol. Inst., De Bilt, Netherlands
  • Volume
    3
  • Issue
    4
  • fYear
    1996
  • Firstpage
    4
  • Lastpage
    7
  • Abstract
    In 1985 the national meteorological institutes of Denmark, Finland, Iceland, The Netherlands, Norway, and Sweden joined forces to develop and maintain a numerical short range weather forecasting system. Later Ireland and Spain joined the project, and the Hirlam (high resolution limited area modeling) project is now in its third phase. Version 2 of the Hirlam system, built during the second phase of the project, is now used in routine weather forecasting at almost all participating institutes. Modern numerical weather forecasting systems have three basic components: an analysis unit, a forecast model, and a postprocessor. Analysis provides the initial conditions for the model, based on recent observations and other sources of information. The forecast model spatially and temporally discretizes and then integrates the classical equations-Newton´s second law, mass conservation, and thermodynamics. In the postprocessing step, the relevant weather phenomena (for example, wind speed at 10 m height) are calculated from the model variables. The article outlines the analysis unit, forecast model, and postprocessor of the Hirlam system, as well as its implementation on massively parallel processing systems
  • Keywords
    geophysical techniques; geophysics computing; parallel machines; parallel programming; weather forecasting; Hirlam project; analysis unit; classical equations; forecast model; high resolution limited area modeling; initial conditions; mass conservation; massively parallel processing systems; meteorology; model variables; national meteorological institutes; numerical short range weather forecasting system; postprocessor; routine weather forecasting; thermodynamics; weather phenomena; Cats; Humidity; Information analysis; Information resources; Land surface temperature; Meteorology; Ocean temperature; Parallel processing; Predictive models; Sea surface; Thermodynamics; Weather forecasting; Wind forecasting; Wind speed;
  • fLanguage
    English
  • Journal_Title
    Computational Science & Engineering, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9924
  • Type

    jour

  • DOI
    10.1109/99.556505
  • Filename
    556505