NetRad: distributed, collaborative and adaptive sensing of the atmosphere calibration and initial benchmarks

  • Authors:

  • Michael Zink;David Westbrook;Eric Lyons;Kurt Hondl;Jim Kurose;Francesc Junyent;Luko Krnan;V. Chandrasekar

  • Affiliations:

  • Dept. Computer Science, University Massachusetts, Amherst, MA;Dept. Computer Science, University Massachusetts, Amherst, MA;Dept. Computer Science, University Massachusetts, Amherst, MA;National Severe Storms Laboratory, National Oceanic and Atmospheric Administration, Norman, OK;Dept. Computer Science, University Massachusetts, Amherst, MA;Dept. Electrical and Computer Engineering, University Massachusetts, Amherst, MA;Dept. Electrical and Computer Engineering, University Massachusetts, Amherst, MA;Dept. Electrical & Computer Engineering, Colorado State University, Fort Collins, CO

  • Venue:
  • DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
  • Year:
  • 2005

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Abstract

We are currently building a NetRad prototype system to be deployed in southwestern Oklahoma, consisting of four mechanically scanned X-band radars atop small towers, and a central control site (later to be decentralized as the number of radars increases) known as the System Operations and Control Center (SOCC). The SOCC consists of a cluster of commodity processors and storage on which the Meteorological Command and Control (MC&C) components execute. NetRad radars are spaced approximately 30 km apart from each other and together scan an area of 80km x 80km and up to 3 km in height. In this paper, we overview the radar calibration process, as well as the initial benchmark execution times of the software modules we will demonstrate at DCOSS.