Session 2 Applications of AI to environmental science problems

Tuesday, 8 January 2013: 8:30 AM-9:45 AM
Room 18A (Austin Convention Center)
Host: 11th Conference on Artificial and Computational Intelligence and its Applications to the Environmental Sciences
Chair:
John K. Williams, NCAR, RAL, Boulder, CO

Papers:
8:30 AM
2.1
Probabilistic Forecasts Based on Statistically-Improved Forecasts
William Myers, NCAR/RAL, Boulder, CO
Recorded Presentation

8:45 AM
2.2
Extreme Learning Machines for Environmental Problems
Aranildo Rodrigues Lima Jr., Univ. of British Columbia, Vancouver, BC, Canada; and A. J. Cannon and W. W. Hsieh
Recorded Presentation

9:00 AM
2.3
Automated, Multi-parameter Identification and Tracking of Dry Lines: Algorithm Development and Evaluation
Andrew J. MacKenzie, Univ. of Oklahoma, Norman, OK
Recorded Presentation

9:15 AM
2.4
Novel Gust Front Detection with Polarimetric WSR-88D Using Neuro-fuzzy System
Yunsung Hwang, Atmospheric Radar Research Center, University of Oklahoma, Norman, OK; and T. Y. Yu

9:30 AM
2.5
New Rotation Track Quality Control Techniques for a Multi-Year Climatology
Madison L. Miller, CIMMS/Univ. of Oklahoma and NOAA/NSSL, Norman, OK; and V. Lakshmanan and T. M. Smith
Recorded Presentation Manuscript (2.0 MB)

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
See more of: 11th Conference on Artificial and Computational Intelligence and its Applications to the Environmental Sciences
<< Previous Session | Next Session >>