Closed-loop architecture for distributed collaborative adaptive sensing of the atmosphere: meteorological command and control

Authors:
Michael Zink;Eric Lyons;David Westbrook;Jim Kurose;David L. Pepyne
Affiliations:
Electrical and Computer Engineering Department, University of Massachusetts, Amherst, MA, USA.;Computer Science Department, University of Massachusetts, Amherst, MA, USA.;Computer Science Department, University of Massachusetts, Amherst, MA, USA.;Computer Science Department, University of Massachusetts, Amherst, MA, USA.;Electrical and Computer Engineering Department, University of Massachusetts, Amherst, MA, USA
Venue:
International Journal of Sensor Networks
Year:
2010

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Abstract

Distributed Collaborative Adaptive Sensing (DCAS) of the atmosphere is a new paradigm for detecting and predicting hazardous weather using a dense network of short-range, low-powered radars to sense the lowest few kilometres of the earth's atmosphere. DCAS systems are collaborative in that the beams from multiple radars are actively coordinated in a sense-and-respond manner to achieve greater sensitivity, precision and resolution than possible with a single radar. DCAS systems are adaptive in that the radars and their associated computing and communications infrastructure are dynamically reconfigured in response to changing weather conditions and end-user needs. This paper describes an end-to-end DCAS architecture and evaluates the performance of the system in an operational testbed with actual weather events and end-user considerations driving the system. Our results demonstrate how the architecture is capable of real-time data processing, optimisation of radar control and sensing of the atmosphere in a manner that maximises end-user utility.