Session 8 AI for Environmental Science IV

Wednesday, 15 January 2020: 10:30 AM-12:00 PM
156A (Boston Convention and Exhibition Center)

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

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

11:00 AM
8.3
Wind Variability Analysis for the Kuwait Region Using Self-Organizing Maps
Steven M. Naegele, Pennsylvania State University, University 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 University, College Station, TX; and I. Szunyogh, B. Hunt, and E. Ott

11:30 AM
8.5
Short term hail prediction system based on numerical weather model and machine learning
Chandrasekar Radhakrishnan, Colorado State University, Fort Collins, CO; and V. Chandrasekar, A. Kubicek, J. krzak, and E. Hewitt

11:45 AM
8.6
Development of 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

Abstract Submissions Closed



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