DocumentCode
2781504
Title
Observation of an EF2 tornado winds using networked radar test-bed
Author
Chandrasekar, V. ; Wang, Y. ; Bharadwaj, N. ; Zhang, S. ; Martinez, M. ; McLaughlin, D. ; Brotzge, J. ; Zink, M. ; Phillips, B.
Author_Institution
Colorado State Univ., Fort Collins, CO, USA
fYear
2010
fDate
10-14 May 2010
Firstpage
1167
Lastpage
1171
Abstract
Tornadoes are known as a high-impact weather hazard with fine-scale space-time variability. To detect, monitor and track tornadoes requires very high spatiotemporal resolution sensing observations. Initiated to address this need, a networked sensing concept was recently introduced, known as DCAS paradigm, and a networked Doppler radar system was engineered and deployed in southwest Oklahoma. The system is automated in a closed-loop adaptive control scheme. A scan strategy was developed for dual-Doppler wind measurement close to the ground by optimizing the sensing resource of this multi-nodes radar network. Facilitated by this optimized scan strategy, Doppler wind product was generated in real-time. This paper presents the observations and Doppler wind product of an EF2 tornado touchdown. An offline evaluation of this event demonstrates the improved capability of the networked sensing for detecting and tracking the lower-level tornadic circulation.
Keywords
Doppler radar; atmospheric measuring apparatus; storms; wind; DCAS paradigm; Doppler wind product; EF2 tornado touchdown; EF2 tornado winds; closed-loop adaptive control scheme; dual-Doppler wind measurement; fine-scale space-time variability; high-impact weather hazard; multinodes radar network; networked Doppler radar system; networked radar test-bed; networked sensing concept; offline evaluation; scan strategy; sensing resource; southwest Oklahoma; spatiotemporal resolution sensing observations; tornadic circulation; Doppler radar; Hazards; Monitoring; Radar detection; Radar tracking; Spatiotemporal phenomena; Systems engineering and theory; Testing; Tornadoes; Wind;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Conference, 2010 IEEE
Conference_Location
Washington, DC
ISSN
1097-5659
Print_ISBN
978-1-4244-5811-0
Type
conf
DOI
10.1109/RADAR.2010.5494443
Filename
5494443
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