Accuracy on weather prediction is a significant factor on present models of air traffic and planning, and will be a key factor on future advanced models in many areas and activities, and we can envision advanced human emotion models with weather as a key component. As part of this research effort, this paper addresses the development of three-layer architecture for hourly distribution of an accurate 24-hour global aviation weather prediction and a multivariate analysis of the aviation weather data provided by NOAA's National Weather Service.


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    Title :

    Spatio-Temporal Prediction of METAR Data for Continental United States


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    Aerospace Technology Conference and Exposition ; 2011



    Publication date :

    2011-10-18




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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