Session 19D Applications of Artificial Intelligence in Tropical Cyclones and Tropical Meteorology V

Friday, 10 May 2024: 1:45 PM-3:15 PM
Seaview Ballroom (Hyatt Regency Long Beach)
Host: 36th Conference on Hurricanes and Tropical Meteorology
Cochairs:
Jhordanne Jones, PhD, University Corporation for Atmospheric Research (UCAR)/Purdue University and Wallace A. Hogsett

Papers:
1:45 PM
19D.1
Machine Learning Models Use Large Scale Signals to Forecast the MJO
Lin Yao, University of Chicago, Chicago, IL; and D. Yang, J. Duncan, A. K. Chattopadhyay, P. Hassanzadeh, W. Bhimji, and B. Yu

2:00 PM
19D.2
Artificial intelligence for multi-scale meteorological forecasting in French Polynesia
Vateanui SANSINE, Institut de Recherche pour le développement, Punaauia, Tahiti, French polynesia; and T. Izumo and M. Hopuare

2:15 PM
19D.3
Using Convolutional Neural Network to Emulate Seasonal Tropical Cyclone Activity
Dan Fu, Texas A&M Univ., College Station, TX; and P. Chang and X. Liu

2:30 PM
19D.4
The Importance of Bringing Tropical Cyclone Science to Bear on Long-Term Hazard Risk
Kerry A. Emanuel, MIT, Cambridge, MA

2:45 PM
19D.5
Deep Learning Models for Revealing the Climate Trends of Tropical Cyclone Intensity and Energy Extremes and its Usage in Operational Typhoon Forecasting
Buo-Fu Chen, National Taiwan University, Taipei, Taiwan

3:00 PM
19D.6
Generate synthetic tropical cyclone tracks impacting North American using statistical and machine learning methods
Yuepeng Li, Florida International University, Miami, FL; Florida International University, Miami, FL; and S. Gao, W. dong, Q. chen, and S. Hamid

Recorded Presentation
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