Session 7A AI in Radar Observations

Wednesday, 15 January 2020: 8:30 AM-10:00 AM
156BC (Boston Convention and Exhibition Center)
Hosts: (Joint between the 19th Conference on Artificial Intelligence for Environmental Science; and the Events )
Cochairs:
Sarvesh Garimella, ACME AtronOmatic, LLC, Portland, OR and Alex M. Haberlie, Louisiana State Univ., Department of Geography & Anthropology, Baton Rouge, LA

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
Recorded Presentation

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
Recorded Presentation

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
Recorded Presentation

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
Recorded Presentation

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
Recorded Presentation

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

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
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