Date of Award
Master of Science
Department of Electrical and Computer Engineering
Henry B. Potoczny, PhD
Air Force pilots and other operators make crucial mission planning decisions based on weather forecasts; therefore, the ability to forecast the weather accurately is a critical issue to Air Force Weather (AFW) and its customers. The goal of this research is to provide Air Force Weather with a methodology to automate statistical data analysis for the purpose of providing on-demand metrics. A data warehousing methodology is developed and applied to the weather metrics problem in order to present an option that will facilitate on-demand metrics. On-line analytical processing (OLAP) and data mining solutions are also discussed.
DTIC Accession Number
Joga, Meriellen C., "Data Warehouse Techniques to Support Global On-demand Weather Forecast Metrics" (2000). Theses and Dissertations. 4811.