Data Warehouse Techniques to Support Global on-Demand Weather Forecast Metrics

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.Air Force Inst of Tech Wright-Patterson AFB Oh School of Engineering is the author of 'Data Warehouse Techniques to Support Global on-Demand Weather Forecast Metrics', published 2000 under ISBN 9781423535898 and ISBN 1423535898.