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NetRad: Distributed, Collaborative and Adaptive Sensing of the Atmosphere Calibration and Initial Benchmarks
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Invited Posters
NetRad: Distributed, Collaborative and Adaptive Sensing of the Atmosphere Calibration and Initial Benchmarks Michael Zink1  , David Westbrook1 , Eric Lyons1, Kurt Hondl2 , Jim Kurose1 , Francesc Junyent3 , Luko Krnan3 and V. Chandrasekar4
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Dept. Computer Science, University Massachusetts, Amherst MA 01003, |
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National Severe Storms Laboratory, National Oceanic and Atmospheric Administration Norman OK 73019, |
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Dept. Electrical and Computer Engineering, University Massachusetts Amherst MA 01003, |
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Dept. Electrical & Computer Engineering Colorado State University, Fort Collins, CO 80523-1373, |
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.
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