Joint Session Tropical Cyclone Analysis and Prediction with Machine Learning I

Wednesday, 15 January 2020: 10:30 AM-12:00 PM
Hosts: (Joint between the 19th Conference on Artificial Intelligence for Environmental Science; and the Tropical Meteorology and Tropical Cyclones Symposium )
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

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

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

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

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

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 University, Mississippi State, MS; and A. D. Grimes and K. M. Wood

- Indicates paper has been withdrawn from meeting
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