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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Spatio-Temporal Prediction of METAR Data for Continental United States


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:

    Kongress:

    Aerospace Technology Conference and Exposition ; 2011



    Erscheinungsdatum :

    18.10.2011




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Enroute Alternate Planning Minima Determination Method Based on METAR Database Analysis

    Kuts, Konstantin / Kovalenko, Gennadii | Springer Verlag | 2021


    The IBN BATTOUTA Air Traffic Control Corpus with Real Life ADS-B and METAR Data

    Saïd, Kasttet Mohammed / Abdelouahid, Lyhyaoui | TIBKAT | 2021


    Spatio-temporal data prediction method and data acquisition monitoring system

    WANG LING / JIA GAOFENG | Europäisches Patentamt | 2023

    Freier Zugriff


    Spatio-Temporal AutoEncoder for Traffic Flow Prediction

    Liu, Mingzhe / Zhu, Tongyu / Ye, Junchen et al. | IEEE | 2023