Spatio-Temporal Prediction of METAR Data for Continental United States

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.