J5B Advances in the Use of Artificial Intelligence in Support of Aviation, Range, and Aerospace Meteorology

Tuesday, 30 January 2024: 8:30 AM-10:00 AM
338 (The Baltimore Convention Center)
Hosts: (Joint between the 23rd Conference on Artificial Intelligence for Environmental Science; and the 24th Conference on Aviation, Range, and Aerospace Meteorology )
Submitters:
Anthony J. Wimmers, CIMMS, Meteorology, Norman, OK and Jamey Jacob, Oklahoma State University, Unmanned Systems Research Institute, Stillwater, OK
Cochairs:
John K. Williams and Anthony J. Wimmers, CIMMS, Meteorology, Norman, OK

This session will focus on applications of artificial intelligence (AI) and machine learning (ML) to problems in ARAM research and operations. Topics may include the use of AI and ML algorithms in conjunction with data from observing systems and numerical weather models that can be applied to a wide variety of aviation and aerospace research and operational areas. Themes could include the use of AI/ML in current research endeavors, as well as the integration of AI/ML is operations for commercial and military aviation and range activities.

Papers:
8:30 AM
J5B.1
A Variational Autoencoder for Coastal Visibility Predictions: Architecture, Performance and R2X Potential
Brian Colburn, Conrad Blucher Institute for Surveying and Science, Corpus Christi, TX; and P. Tissot, J. K. Williams, S. A. King, W. G. Collins, E. Krell, L. C. Gaudet, H. kamangir, and M. C. White

8:45 AM
J5B.2
Toward Trustworthy Wind and Turbulence Predictions for Advanced Air Mobility
Mounir Chrit, University of North Dakota (UND), GRAND FORKS, ND; University of North Dakota, Grand Forks, ND; and M. Majdi

9:00 AM
J5B.3
Detection and Characterization of Contrails Using Artificial Intelligence: Insights from a 2023 Field Campaign
Jay P. Hoffman, CIMSS, Madison, WI; and T. Rahmes, A. J. Wimmers, W. Feltz, M. J. Foster, J. Feltz, and C. Phillips

9:15 AM
J5B.4
LaunchCast: Deep Learning for Space Operations
Brandon T. McClung, Air Force, Norman, OK; NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography, Norman, OK; and A. McGovern

9:30 AM
J5B.5
Exploring Additional Predictors to Improve Probabilistic Forecasting of Thunderstorms Using a 2-D Convolutional Neural Network (CNN)
Dean Calhoun, Purdue University, West Lafayette, IN; and M. B. Ba, K. Zigner, and J. E. Ghirardelli

9:45 AM
J5B.6
Operational Use of Machine Learning and Numerical Weather Prediction to Predict Aircraft Turbulence and Icing
Lance E. Steele, Certified Consulting Meteorologist, Weathernews, Norman, OK

Recorded Presentation
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
See more of: 23rd Conference on Artificial Intelligence for Environmental Science
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