Session 7A AI in Radar Observations

Wednesday, 15 January 2020: 8:30 AM-10:00 AM
156BC (Boston Convention and Exhibition Center)

Cochairs:
Sarvesh Garimella, ACME AtronOmatic, LLC, Portland, OR and Alex M. Haberlie, Louisiana State University, Department of Geography & Anthropology, Baton Rouge, LA

Description:

This session will highlight papers describing Artificial Intelligence techniques used with interpretation of radar observations, both for real time as well as post analysis applications.


Papers:
8:30 AM
7A.1
An AI Approach for Generating Instantaneous Rain Rates from Volumetric Radar Scans
Sarvesh Garimella, ACME AtronOmatic, LLC, Portland, OR

8:45 AM
7A.2
Radar Quantitative Precipitation Estimate Results using a Convolution Neural Network
Micheal Simpson, NOAA/NSSL, Norman, OK; and J. Zhang and K. W. Howard

9:00 AM
7A.3
Machine Learning Techniques for Radar-based Hail Size Prediction
Skylar S. Williams, OU/CIMMS and NOAA/OAR/NSSL, Norman, OK; and K. L. Ortega

9:15 AM
7A.4
An Investigation of Two Machine Learning Radar-based Hail Discrimination Algorithms
Kimberly L. Elmore, CIMMS/Univ. of Oklahoma and NOAA/OAR/NSSL, Norman, OK; and K. L. Ortega and J. C. Snyder

9:30 AM
7A.5
Assessment of two techniques used to identify ZDR arcs automatically in radar observations
Allison T. LaFleur, Purdue Univ., West Lafayette, IN; and R. Tanamachi and R. E. Nelson

9:45 AM
7A.6
Locating Bird Roosts Using NEXRAD Radar Data and Image Segmentation
Katherine Avery, University of Oklahoma, Norman, OK; and A. McGovern, E. Bridge, and J. F. Kelly

Abstract Submissions Closed



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