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Summary of the North Carolina Sensor Workshop. Jessica Proud RENCI. Workshop Summary. Hosted Monday by RENCI ~55 attendees, 15 talks Universities, State, and Federal agencies, industry Main discussion points:
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Summary of the North Carolina Sensor Workshop Jessica Proud RENCI
Workshop Summary • Hosted Monday by RENCI • ~55 attendees, 15 talks • Universities, State, and Federal agencies, industry • Main discussion points: • How should we move forward to continue to build and maintain the sensor inventory? • What’s missing? • How can we develop the infrastructure to build and deploy sensors in the future?
Summary of Inventory Talks • NC Sensory Inventory • Why are we collecting this inventory? • What qualifies as a sensor? • Collects any type of environmental data • Data collected by instrument or by person • Any regular time scale • Collected info on 3300 sensors so far • Meteorology, hydrology, ocean
Meteorological Sensors • Number of weather stations: ~1255 • Includes research grade to backyard stations, rain gauges only
Surface Water Sensors • Number of water sensors: ~900 • Includes stream, water quality, and reservoir gauges
Ocean Sensors • Number of water sensors: ~80
Summary of NC Sensor Networks • NC Sensor Inventory • State Climate Office (CRONOS) • NCEM Advanced Flood Warning System (FIMAN) • USGS • NC DENR Air Quality • Estuary and Coastal • Coweeta Long Term Ecological Research • GSNP Precipitation and Boundary Layer Observing Network
Summary of Capability Talks • NC A&T • Build sensors • Data management • Duke Helicopter Observation Platform • RENCI • Build and deploy sensors • Exploration of sensors (MRR, lightning) • Tool development
Summary of Infrastructure Talks • Network and power issues • Data management: gathering, manipulation, and dissemination • Example- Sensor Data Bus: collects data from sensor networks in NC into multiple distributed systems for easy access
Main Points • Data quality and context of use • Develop vision and purpose for sensor inventory • Create group to carry process forward • Stay focused, build one thing at a time • Convene data managers to discuss technical aspects