Abstract

Convective weather events pose a challenge to the burgeoning low altitude aviation industry. Small aircraft are sensitive to winds and precipitation, but the uncertainty associated with forecasting and the frequency with which impactful weather occurs require an active detect and response system. In this paper, we propose a dynamic, data-driven decision support system, with components of forecasting, realtime sensor observations, and route planning. We demonstrate our technology in the Dallas/Fort Worth metroplex, a large urban area with frequent thunderstorms which hosts the CASA Doppler radar network.
The high temporal and spatial resolution data provided by this network allows us to quickly and accurately identify ongoing meteorological hazards for flight planning purposes. Rapidly updating short term (0–90 min) forecast data are generated with features extracted as obstacles to avoid …

Date

2020

Authors

Eric Lyons, David Westbrook, Andrew Grote, George Papadimitriou, Komal Thareja, Cong Wang, Michael Zink, Ewa Deelman, Anirban Mandal, Paul Ruth

Book

International Conference on Dynamic Data Driven Application Systems

Pages

311-319

Publisher

Springer International Publishing