Session 8 AI for Environmental Science. Part IV

Wednesday, 15 January 2020: 10:30 AM-12:00 PM
156A (Boston Convention and Exhibition Center)
Hosts: (Joint between the 19th Conference on Artificial Intelligence for Environmental Science; and the Events )
CoChair:
Auroop R. Ganguly, Northeastern Univ., Civil and Environmental Engineering, Boston, MA

Papers:
10:30 AM
8.1
Predicting Storm Prediction Center Watch Likelihood Using Machine Learning
David Harrison, CIMMS/Univ. of Oklahoma and NOAA/NWS/Storm Prediction Center, Norman, OK; and A. McGovern and C. D. Karstens
Recorded Presentation

10:45 AM
8.2
EnSOMble Forecasting: Analyzing Simulated Supercell Environments from Convection-Allowing Models Using Self-Organizing Maps
Burkely T. Gallo, CIMMS/Univ. of Oklahoma and NOAA/NWS/SPC, Norman, OK; and A. K. Anderson-Frey and M. L. Flora
Recorded Presentation

11:00 AM
8.3
Wind Variability Analysis for the Kuwait Region Using Self-Organizing Maps
Steven M. Naegele, The Pennsylvania State Univ., Univ. Park, PA; NCAR, Boulder, CO; and T. C. McCandless, S. E. Haupt, G. S. Young, and S. J. Greybush

11:15 AM
8.4
Evaluation of a Hybrid Modeling Approach to Predict the Atmospheric State by Blending Numerical Modeling and Machine Learning
Troy J. Arcomano, Texas A&M Univ., College Station, TX; and I. Szunyogh, B. Hunt, and E. Ott
Recorded Presentation

11:30 AM
8.5
A Short-Term Hail Prediction System Based on Numerical Weather Modeling and Machine Learning
Chandrasekar Radhakrishnan, Colorado State Univ., Fort Collins, CO; and V. Chandrasekar, A. Kubicek, J. krzak, and E. Hewitt

11:45 AM
8.6
Development of a Radar-Identified Storm Cell and Track Dataset for Storm Motion Distributions and Machine Learning Applications
Dianna M. Francisco, Univ. of Oklahoma/CIMMS and NOAA/NSSL, Norman, OK; and T. M. Smith, K. M. Calhoun, and P. A. Campbell
Recorded Presentation

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