News Story
Dr. Derek Paley Awarded NSF Grant
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According to the project abstract the research objective of this project is to reduce the uncertainty of hurricane forecasts by creating and observing a network of unmanned aircrafts. The broader significance of this research project lies in its potential to improve hurricane forecasts by integrating next-generation weather prediction models with new strategies for adaptive motion coordination of multiple unmanned aircrafts. Better forecasts and reduced uncertainty in hurricane intensity prediction lead to reduced loss of life and property via improved emergency management decisions.
Hurricane forecasts are typically dependent on the data obtained and synthesized from observations of pressure, wind velocity, and temperature at altitudes lower than manned aircrafts can safely fly. Small, unmanned aircraft can fill this important gap in observation data by flying at altitudes as low as one hundred meters. A coordinated team of unmanned aircraft can further reduce the uncertainty in hurricane forecasts by collecting low-altitude observations in a prescribed spatial distribution. The project will also provide undergraduate and graduate students with a unique interdisciplinary training opportunity which will combine atmospheric science and dynamical control systems.
The grant is worth $275,000.
More information about this and many other NSF related topics can be found on the research.gov website.
Published September 27, 2009