Joint Session 43 Tropical Cyclone Analysis and Prediction with Machine Learning I

Wednesday, 15 January 2020: 10:30 AM-12:00 PM
156BC (Boston Convention and Exhibition Center)
Hosts: (Joint between the 19th Conference on Artificial Intelligence for Environmental Science; the Tropical Meteorology and Tropical Cyclones Symposium; and the Events )
Cochairs:
Jebb Stewart, NOAA/ESRL, Boulder and CIRA/Colorado State Univ., CIRA at NOAA/ESRL, Fort Collins, CO and Eric D. Loken, CIMMS/University of Oklahoma, Norman, OK

This session will feature applications of AI for analyzing tropical cyclone intensity and structure as well as improving predictions of tropical cyclone track and intensity.

Papers:
10:30 AM
J43.1
Using Geostationary Imagery to Peer through the Clouds Revealing Hurricane Structure
C. J. Slocum, CIRA, Fort Collins, CO; and J. Knaff
Recorded Presentation

10:45 AM
J43.2
Probabilistic Rapid Intensification Prediction with Convolutional Neural Networks and HWRF
David John Gagne II, NCAR, Boulder, CO; and C. M. Rozoff and J. L. Vigh
Recorded Presentation

Handout (2.7 MB)

11:00 AM
J43.3
A Review of Support Vector Machine Performance on Tropical Cyclone Intensity Prediction with Imbalanced Datasets
Mu-Chieh Ko, NOAA/AOML/HRD, Miami, FL; and M. Kubat, S. G. Gopalakrisnan, and F. D. Marks
Recorded Presentation

11:15 AM
J43.4
Combining Artificial Intelligence and Physics-Based Modeling Techniques to Improve Hurricane Track and Intensity Forecasting
Narges Shahroudi, Riverside Technology, Inc., and NOAA/NESDIS/STAR, College Park, MD; and E. Maddy, S. A. Boukabara, V. M. Krasnopolsky, and R. N. Hoffman
Recorded Presentation

11:30 AM
J43.5
Using Evolutionary Programming to Generate Improved Tropical Cyclone Intensity Forecasts
Jesse Schaffer, Univ. of Wisconsin−Milwaukee, Milwaukee, WI; and P. Roebber and C. Evans
Recorded Presentation

11:45 AM
J43.6
An Updated Atlantic Basin Tropical Cyclone Rapid Intensification Scheme Using Machine Learning and Operational Forecast Data
Andrew Mercer, Mississippi State Univ., Mississippi State, MS; and A. D. Grimes and K. M. Wood
Recorded Presentation

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