Joint Session 30 Transitioning Artificial Intelligence (AI) Prediction Systems to Operations

Tuesday, 14 January 2020: 3:00 PM-4:00 PM
251 (Boston Convention and Exhibition Center)
Hosts: (Joint between the 10th Conference on Transition of Research to Operations; and the 19th Conference on Artificial Intelligence for Environmental Science )
Cochairs:
John K. Williams, The Weather Company, An IBM Business, Andover, MA and Daniel Rothenberg, ClimaCell, Boston, MA

This session would feature presentations on efforts to transition AI, machine learning, and deep learning weather prediction models from research to operational use. The presenters would be encouraged to discuss the progress they have made in bringing their algorithms to operations and the challenges experienced in the process. This session would be a joint session with the AI for Environmental Science conference and potentially the Python Symposium.

Papers:
3:15 PM
J30.2
Lightning Prediction for Space Launch Using Machine Learning Based on Electric Field Mills and Lighting Detection and Ranging Data
Anson Cheng, Air Force Institute of Technology, Wright-Patterson AFB, OH; and A. J. Geyer

3:30 PM
J30.3
Predicting Weather Conditions Utilizing Artificial Neural Networks for C-17 Mission Planning
Garrett A Alarcon, Air Force Institute of Technology, Wright-Patterson AFB, OH; and A. J. Geyer
3:45 PM
J30.4
Artificial Intelligence–Based Ensemble Modeling for Correction of GPM IMERG Precipitation Product over the Brahmaputra River Basin
MD Abul Ehsan Bhuiyan, Univ. of Connecticut, STORRS, CT; and N. K. Biswas, R. Raihan Sayeed Khan, S. J. Ilham, and C. witharana

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner