Session 7A AI in Radar Observations

Wednesday, 15 January 2020: 8:30 AM-10:00 AM
Host: 19th Conference on Artificial Intelligence for Environmental Science
Sarvesh Garimella, ACME AtronOmatic, LLC, Portland, OR and Alex M. Haberlie, Louisiana State University, 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.

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

8:45 AM
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
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
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
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
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

- Indicates paper has been withdrawn from meeting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