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ICCS
2004
Springer

Distributed Collaborative Adaptive Sensing for Hazardous Weather Detection, Tracking, and Predicting

9 years 20 days ago
Distributed Collaborative Adaptive Sensing for Hazardous Weather Detection, Tracking, and Predicting
A new data-driven approach to atmospheric sensing and detecting/ predicting hazardous atmospheric phenomena is presented. Dense networks of small high-resolution radars are deployed with sufficient density to spatially resolve tornadoes and other dangerous storm events and overcome the earth curvature-induced blockage that limits today’s ground-radar networks. A distributed computation infrastructure manages both the scanning of the radar beams and the flow of data processing by dynamically optimizing system resources in response to multiple, conflicting end-user needs. In this paper, we provide a high-level overview of a system architecture embodying this new approach towards sensing, detection and prediction. We describe the system’s data rates, and overview various modes in which the system can operate.
Jerry Brotzge, V. Chandresakar, Kelvin Droegemeier
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where ICCS
Authors Jerry Brotzge, V. Chandresakar, Kelvin Droegemeier, James F. Kurose, David McLaughlin, Brenda Philips, M. Preston, S. Sekelsky
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