Session 3 AI Techniques for Decision Support

Tuesday, 12 January 2016: 8:00 AM-9:45 AM
Room 354 ( New Orleans Ernest N. Morial Convention Center)
Host: 14th Conference on Artificial and Computational Intelligence and its Applications to the Environmental Sciences
Chair:
Haig Iskendarian, MIT Lincoln Laboratory, Air Traffic Control Systems, Boston, MA

Papers:
8:15 AM
3.2
Predicting Weather Impact on Airspace Flow Using Multiple Forecasts
Mark S. Veillette, MIT Lincoln Laboratory, Lexington, MA; and M. Matthews, H. Iskenderian, and R. DeLaura
8:30 AM
3.3
The Optimal Meteorological Forecast System Project at Meteorological Services of Canada
Donald Talbot, EC, Dorval, QC, Canada; and C. Landry, J. Marcoux, M. Nadeau, and M. Verville
8:45 AM
3.4
Severe Hail Forecasting Evaluation: Machine Learning and Severe Weather Proxy Variables
David John Gagne II, CAPS/Univ. of Oklahoma, Norman, OK; and A. McGovern, N. Snook, R. A. Sobash, J. K. Williams, S. E. Haupt, and M. Xue
9:00 AM
3.5
Real-time Prediction of Damaging Straight-line Winds Produced by Thunderstorms
Ryan A. Lagerquist, University of Oklahoma, Norman, OK; and A. McGovern, V. Lakshmanan, and T. M. Smith
9:15 AM
3.6
Using Machine Learning for Nowcasting Severe Weather Hazards
Amy McGovern, Univ. of Oklahoma, Norman, OK; and C. D. Karstens, T. M. Smith, and K. M. Kuhlman
9:30 AM
3.7
On Learning Patterns Between GPS Derived Precipitable water fields and Radar Reflectivity Fields
Aditya Nagarajan, University of Massachusetts, Amherst, MA; and D. L. Pepyne
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner