Session 3B High-Impact Weather Prediction with AI

Tuesday, 14 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:
Montgomery L. Flora, University of Oklahoma, CIMMS, NSSL/NOAA, School of Meteorology, Norman, OK and Stephan R. Sain, Jupiter Intelligence, Earth and Ocean Systems, Boulder, CO

Papers:
8:30 AM
3B.1
Generating Ensemble-Derived Next-Day Probabilistic Severe Weather Forecasts with Machine Learning
Eric D. Loken, CIMMS/Univ. of Oklahoma, Norman, OK; and A. J. Clark
Recorded Presentation

8:45 AM
3B.2
Regional High-Impact Hail Forecasting Using Random Forests
Amanda Burke, CAPS/Univ. of Oklahoma, Norman, OK; and N. Snook and A. McGovern
Recorded Presentation

9:00 AM
3B.3
Using Machine Learning to Advance Next-Day Probabilistic Convective Hazard Prediction with Convection-Allowing Models
Ryan A. Sobash, NCAR, Boulder, CO; and D. J. Gagne II, C. S. Schwartz, and D. A. Ahijevych
Recorded Presentation

9:15 AM
3B.4
Using Machine Learning to Improve Storm-Scale 1-h Probabilistic Forecasts of Severe Weather
Montgomery L. Flora, Univ. of Oklahoma, CIMMS, NSSL/NOAA, Norman, OK; and C. Potvin, P. Skinner, and A. McGovern
Recorded Presentation

9:30 AM
3B.5
Using Deep Neuron Network to improve the Performance of NUCAPS Profiles in Lower Atmosphere
Zheng Ma, CIMSS/Univ. of Wisconsin, Madison, WI; and Z. Li, J. Li, and J. Sun
Recorded Presentation

9:45 AM
3B.6
Multiprior LSTM (mpLSTM): Predicting Visibility with Uncertainties from Complex Background States
Yao Xiao, Shanghai Em-Data Technology Co., Ltd, Shanghai, China; and Y. Meng, F. Qi, H. Zuo, X. Guo, Z. Yan, and C. Lu

- Indicates paper has been withdrawn from meeting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