• DocumentCode
    651711
  • Title

    Accurate weather forecasting through locality based collaborative computing

  • Author

    Fjukstad, Bjorn ; Bjorndalen, John Markus ; Anshus, Otto

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Tromso, Tromso, Norway
  • fYear
    2013
  • fDate
    20-23 Oct. 2013
  • Firstpage
    571
  • Lastpage
    578
  • Abstract
    The Collaborative Symbiotic Weather Forecasting (CSWF) system lets a user compute a short time, high-resolution forecast for a small region around the user, in a few minutes, on-demand, on a PC. A collaborated forecast giving better uncertainty estimation is then created using forecasts from other users in the same general region. A collaborated forecast can be visualized on a range of devices and in a range of styles, typically as a composite of the individual forecasts. CSWF assumes locality between forecasts, regions, and PCs. Forecasts for a region are computed by and stored on PCs located within the region. To locate forecasts, CSWF simply scans specific ports on public IP addresses in the local area. Scanning is robust because it avoids maintaining state about others and fast because the number of computers is low and only a few forecasts are needed.
  • Keywords
    geophysics computing; groupware; weather forecasting; CSWF system; Internet protocols; collaborated forecast; collaborative symbiotic weather forecasting; locality based collaborative computing; public IP addresses; Collaboration; Computational modeling; Computers; Numerical models; Symbiosis; Weather forecasting; Collaboration; Distributed Computing; Peer to Peer; Weather Forecast;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Collaborative Computing: Networking, Applications and Worksharing (Collaboratecom), 2013 9th International Conference Conference on
  • Conference_Location
    Austin, TX
  • Type

    conf

  • Filename
    6680026