Session 11B Tropical Cyclone Analysis and Prediction with Machine Learning II

Thursday, 16 January 2020: 3:30 PM-4:30 PM
156A (Boston Convention and Exhibition Center)

CoChair:
Philippe E. Tissot, Texas A&M University-Corpus Christi, Corpus Christi, TX
Papers:
3:30 PM
11B.1
A Tropical Cyclone Similarity Search Algorithm Based on Deep Learning Method
Yu Wang, China Meteorological Administration, Beijing, China; and L. Han

3:45 PM
11B.2
A Deep Neural Network to Globally Forecast the Track and Intensity of Tropical Cyclones
Hammad Usmani, Georgia Institute of Technology, Atlanta, GA; and A. Habibi and D. Habibi

4:00 PM
11B.3
Using Statistical Learning to Predict the Extratropical Transition of Tropical Cyclones
Melanie Bieli, Columbia Univ., New York, NY; and A. H. Sobel, S. J. Camargo, and M. K. Tippett

4:15 PM
11B.4
Predicting Hurricane Genesis and Evolution with Deep Learning
Tianle Yuan, JCET, Baltimore, MD; and M. G. Nida and H. Song

Abstract Submissions Closed



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