Session 8B Radar Technologies and Applications. Part I

Wednesday, 15 January 2020: 8:30 AM-10:00 AM
155 (Boston Convention and Exhibition Center)
Host: 36th Conference on Environmental Information Processing Technologies
Cochairs:
Kurt D. Hondl, NOAA/NSSL, Norman, OK; Michael J. Istok, NOAA/NWS, Office of Observations/Radar Operations Center, Silver Spring, MD and Mark B. Yeary, Univ. of Oklahoma, School of Electrical & Computer Engineering, Norman, OK

These sessions are devoted to current and next generation weather radars, with emphasis on radar meteorology science, weather radar applications, weather radar signal processing, weather radar prototype developments, experimental weather radar data collections, and essentially all radar meteorological algorithms. Presentations about advanced radar technologies, including phased array radars, polarimetry, multi-function scan strategies, retrieval algorithms, signal processing for clutter rejection, etc. will be a focus of these sessions. Outcomes could include radar measurements in the context of numerical model assimilation and radar-based short term forecasts. Example of presentations may include the SENSR initiative, the dual-pol WSR-88D, etc.

Papers:
8:30 AM
8B.1
An Update on the Advanced Technology Demonstrator at the National Severe Storms Laboratory
Sebastian M. Torres, CIMMS, Norman, OK; and C. D. Curtis, E. Forren, S. Gregg, I. R. Ivic, J. R. Mendoza, D. Schvartzman, C. Schwarz, D. Wasielewski, and A. Zahrai
9:00 AM
8B.3
Experimental Validation of the Multibeam Technique for Rapid-Scan, Meteorological Phased-Array Radar
Mark E. Weber, Cooperative Institute for Mesoscale Meteorological Studies, Norman, OK; and V. Melnikov, D. Zrnic, K. Hondl, R. R. Zellner, and B. Hudson
9:15 AM
8B.4
Weather Calibration Efforts on the Advanced Technology Demonstrator
Igor R. Ivic, Univ. of Oklahoma/NSSL, Norman, OK; and D. Schvartzman
9:30 AM
8B.5
Estimating the Value of Weather Radars in Reducing Flash Flood Casualties
John Y. N. Cho, MIT Lincoln Laboratory, Lexington, MA; and J. M. Kurdzo

Handout (1.1 MB)

9:45 AM
8B.6
NLFM Radar Waveform Generation Using a Neural Network Approach to Rapidly Predict Bezier Curve Shape
James M. Kurdzo, MIT Lincoln Laboratory, Lexington, MA; and J. Y. N. Cho, B. L. Cheong, and R. D. Palmer
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