Session 4B AI Techniques for Numerical Weather Prediction, Part I

Tuesday, 8 January 2019: 8:30 AM-10:00 AM
North 125AB (Phoenix Convention Center - West and North Buildings)
Host: 18th Conference on Artificial and Computational Intelligence and its Applications to the Environmental Sciences
Cochairs:
Ryan A. Lagerquist, CIMMS, Meteorology, Norman, OK and Edwin Campos, Uptake Technologies, Data Science - Weather, Chicago, IL

Papers:
8:30 AM
4B.1
Using Evolutionary Programming to Generate Improved Tropical Cyclone Intensity Forecasts
Jesse Schaffer, University of Wisconsin−Milwaukee, Milwaukee, WI; and P. Roebber and C. Evans
8:45 AM
4B.2
9:00 AM
4B.3
Real-Time Hail Prediction Using Machine Learning Algorithms and HREFv2
Amanda Burke, CAPS/University of Oklahoma, Norman, OK; and N. Snook, D. J. Gagne II, and A. McGovern
9:15 AM
4B.4
9:30 AM
4B.5A
Using Machine Learning to Improve Storm-Scale 1-h Probabilistic Low-Level Rotation Forecasts
Montgomery L. Flora, University of Oklahoma, CIMMS, NSSL/NOAA, Norman, OK; and C. K. Potvin, P. S. Skinner, and A. McGovern
9:45 AM
4B.6
Object Processing of High-Resolution Precipitation Forecasts Based on Intensity and Texture Segmentation
Yamina Hamidi, Météo-France, Toulouse, France; and L. Raynaud, L. Rottner, and P. Arbogast

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