• DocumentCode
    2056892
  • Title

    Consolidated storm prediction for aviation (CoSPA)

  • Author

    Wolfson, Marilyn M. ; Dupree, William J. ; Rasmussen, Roy M. ; Steiner, Matthias ; Benjamin, Stanley G. ; Weygandt, Steven S.

  • Author_Institution
    Lincoln Lab., Massachusetts Inst. of Technol., Lexington, MA
  • fYear
    2008
  • fDate
    5-7 May 2008
  • Firstpage
    1
  • Lastpage
    19
  • Abstract
    Research over the last 10 years primarily funded by the FAA Aviation Weather Research Program (AWRP) has led to very successful development of forecasts of both convective and winter storms, using heuristic and numerical models, for aviation applications. We have reached a point where there are several overlapping capabilities, and the smorgasbord of choices has become confusing. Moreover, aviation- impacting winter and summer conditions can exist simultaneously - even within a single terminal area - so a consolidated forecast must work equally well for all storm conditions. Advances in computing and communications allow incorporation of new observing systems and scientific advancements in data assimilation and modeling toward large-scale, very high resolution forecast systems that were prohibitive just 10 years ago.
  • Keywords
    aerospace engineering; geophysics computing; storms; weather forecasting; CoSPA; FAA Aviation Weather Research Program; aviation application; consolidated storm prediction; convective storms; data assimilation; data modeling; heuristic model; large-scale very high resolution forecast systems; numerical model; summer conditions; winter storms; Air traffic control; Delay; Earth; FAA; Laboratories; Numerical models; Predictive models; Storms; Traffic control; Weather forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integrated Communications, Navigation and Surveillance Conference, 2008. ICNS 2008
  • Conference_Location
    Bethesda, MD
  • Print_ISBN
    978-1-4244-2303-3
  • Electronic_ISBN
    978-1-4244-2304-0
  • Type

    conf

  • DOI
    10.1109/ICNSURV.2008.4559190
  • Filename
    4559190