Session 15D Applications of Artificial Intelligence in Tropical Cyclones and Tropical Meteorology I

Thursday, 9 May 2024: 1:45 PM-3:15 PM
Seaview Ballroom (Hyatt Regency Long Beach)
Host: 36th Conference on Hurricanes and Tropical Meteorology
Cochairs:
Christopher Slocum, CISESS, NCEI, Asheville, NC and Naufal Razin

Papers:
Welcoming Remarks
Christopher Slocum, NOAA, Fort Collins, CO

1:45 PM
15D.1
Factors Driving Upward Trends in Tropical Cyclone Intensification Rates (Invited Presentation)
Hui Su, Hong Kong University of Science and Technology, Hong Kong, Hong kong; and K. Zhu

2:00 PM
15D.2
A Physics-Informed-Deep-Learning Intensity Prediction Scheme for Tropical Cyclones over the Western North Pacific
Ruifen Zhan, Fudan University, Shanghai, China, Shanghai, Shanghai, China; and Y. Zhou, Y. Wang, P. Chen, and Z. M. Tan

2:15 PM
15D.3
Artificial Intelligence-Based Prediction Model for Tropical Cyclone Intensity with Inner-Core and Environmental Features
Minsang Kim, Korea Institute of Ocean Science & Technology, Busan, Korea, Republic of (South); and M. S. Park, M. Kwon, Y. Choi, and E. Jang

2:30 PM
15D.4
Predicting Current and Short-Term Intensity Change in Tropical Cyclones Using a Convolutional Neural Network
Sarah Griffin, UW-CIMSS, Madison, WI; and A. J. Wimmers, D. C. Herndon, and C. S. Velden

2:45 PM
15D.5
Applications of a Machine Learning Model for Estimating Tropical Cyclone Track and Intensity Forecast Uncertainty
Mark DeMaria, CIRA, Fort Collins, CO; CIRA, Fort Collins, CO; and E. A. Barnes, M. Fernandez, R. J. Barnes, M. McGraw, G. Chirokova, L. Lu, P. Santos Jr., and W. A. Hogsett

3:00 PM
15D.6
Tropical Cyclone Intensity via Deep Learning
Christopher C. Hennon, Embry-Riddle Aeronautical University, Prescott, AZ; and C. S. Algeri
Manuscript (411.8 kB)

Recorded Presentation
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