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)

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

Description:

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

Abstract Submissions Closed



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