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Committee on Artificial Intelligence

Applications to Environmental Science

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Sixth Conference on Artificial Intelligence Applications to Environmental Science (Expanded View)

* - Indicates paper has been withdrawn from meeting

Program Chairpersons:
Lakshmanan Valliappa, CIMMS/NSSL
S. Lakshmivarahan, University of Oklahoma
John K. Williams, NCAR
Philippe E. Tissot, Texas A&M University - Corpus Christi
Michael B. Richman, Univ. of Oklahoma
Sue Ellen Haupt, Penn State Univ.

Compact View of Conference

Sunday, 20 January 2008
7:30 AM-9:30 AM, Sunday
Short Course Registration
 
9:00 AM-6:00 PM, Sunday
Conference Registration
 
12:00 PM-4:00 PM, Sunday, Exhibit Hall B
7th Annual WeatherFest
 
Monday, 21 January 2008
7:30 AM-5:30 PM, Monday
Registration continues through Thursday, 24 January
 
10:15 AM-10:45 AM, Monday
Coffee Break (Mon a.m.)
 
11:45 AM-1:30 PM, Monday
Opening Plenary Session Featuring Mayor Nagin of New Orleans (Cash & Carry Lunch)
 
2:30 PM-4:00 PM, Monday, Exhibit Hall B
Formal Poster Viewing with Coffee Break (mon p.m.)
 
4:00 PM-6:00 PM, Monday, 205
Session 1 Application of Artificial Intelligence to Storm Surge Forecasting
Organizer: Philippe E. Tissot, Texas A&M University, Corpus Christi, TX
1.1Storm surge prediction in the UK and the role for artificial intelligence systems  
Kevin Horsburgh, Proudman Oceanographic Laboratory, Liverpool, United Kingdom
4:00 PMOpening Remarks  
4:15 PM1.2Storm surge prediction using NN and GP  extended abstract
S. B. Charhate, Mumbai, India; and M. C. Deo
4:45 PM1.3Using ensembles of artificial neural networks for storm surge predictions in the North Sea  
Daniel Bruce Prouty, Texas A&M University, Corpus Christi, TX; and P. E. Tissot and A. A. Anwar
5:00 PM1.4Implementation of a neural network based surge prediction system for the Texas coast  
Philippe E. Tissot, Texas A&M University, Corpus Christi, TX; and J. Davis, N. Durham, and W. G. Collins
5:15 PMDiscussion regarding the application of AI to storm surge forecasting  
 
5:30 PM-7:30 PM, Monday, Exhibit Hall A
Formal Opening of Exhibits with Reception (Cash Bar)
 
Tuesday, 22 January 2008
8:15 AM-9:45 AM, Tuesday, 206
Joint Session 2 Applications of artificial intelligence methods in the context of interactive information processing systems (Joint between the Sixth Conference on Artificial Intelligence Applications to Environmental Science and the 24th Conference on IIPS)
Cochairs: Christina Lief, NOAA/NCDC, Asheville, NC; Julian Wang, NOAA/ARL, Silver Spring, MD
Chair: S. Lakshmivarahan, University of Oklahoma, Norman, OK
8:15 AMJ2.1Support vector regression in data assimilation  
Hicham Mansouri, Univ. of Oklahoma, Norman, OK; and L. M. Leslie, M. B. Richman, and T. B. Trafalis
8:30 AMJ2.2Use of the LEAD Portal for On-Demand Severe Weather Prediction  extended abstract
Keith A. Brewster, CAPS/Univ. of Oklahoma, Norman, OK; and D. Weber, K. W. Thomas, K. K. Droegemeier, Y. Wang, M. Xue, S. Marru, D. Gannon, J. Alameda, B. F. Jewett, J. S. Kain, S. J. Weiss, and M. Christie
8:45 AMJ2.3Using Spatiotemporal Relational Data Mining to Identify the Key Parameters for Anticipating Rotation Initiation in Simulated Supercell Thunderstorms  extended abstract
Nathan C. Hiers, University of Oklahoma, Norman, OK; and A. McGovern, D. H. Rosendahl, R. A. Brown, and K. K. Droegemeier
9:00 AMJ2.4An automated method for detecting precipitation and cell type from radar products  extended abstract
George L. Limpert, Univ. of Missouri, Columbia, MO; and S. A. Lack, N. I. Fox, and E. J. Sadler
9:15 AMJ2.5Developing a Severe Weather Alert System  extended abstract
Ron Holmes, NOAA/NWSFO, State College, PA; and R. H. Grumm
9:30 AMJ2.6Imputation of missing data with nonlinear relationships  extended abstract
Michael B. Richman, Univ. of Oklahoma, Norman, OK; and I. Adrianto and T. B. Trafalis
 
9:45 AM-11:00 AM, Tuesday, Exhibit Hall B
Formal Poster Viewing with Coffee Break (Tue a.m.)
 
11:00 AM-6:00 PM, Tuesday, Exhibit Hall A
Exhibits Open (Tuesday)
 
12:00 PM-1:30 PM, Tuesday, La Louisiane
Presidental Forum: Hurricane Katrina: Looking Back to Look Ahead (Cash & Carry) (Presidental Forum will run parallel to the other sessions throughout the afternoon)
 
1:30 PM-3:15 PM, Tuesday, 205
Session 2 Forecasting contest submissions (Participants will present the results of their model forecasts of the posted dataset)
CoChair: Elizabeth E. Ebert, BMRC, Melbourne, Vic. Australia
Chair: Valliappa Lakshmanan, CIMMS/Univ. of Oklahoma, NOAA/NSSL, Norman, OK
1:30 PM2.1The 2008 Artificial Intelligence Competition  extended abstract
Valliappa Lakshmanan, CIMMS/Univ. of Oklahoma, NOAA/NSSL, Norman, OK; and E. E. Ebert and S. E. Haupt
1:45 PM2.2Using random forests and fuzzy logic for automated storm type identification  extended abstract
John K. Williams, NCAR, Boulder, CO; and J. Abernethy
2:00 PM2.3Using a Decision Tree and a Neural Network to Identify Severe Weather Radar Characteristics  extended abstract
Ron Holmes, NOAA/NWSFO, State College, PA
2:15 PM2.4Using Multiple Machine Learning Techniques to Improve the Classification of a Storm Set  extended abstract
David John Gagne II, CASA, Norman, OK; and A. McGovern
2:30 PM2.5A storm-type classifier using support vector machines and fuzzy logic  extended abstract
Jenny Abernethy, NCAR/RAL, Boulder, CO; and J. K. Williams
2:45 PM2.6Genetic Algorithm optimization of principal component approach to clustering for storm type identification  
Luna M. Rodriguez, Penn State Univ., University Park, PA
3:00 PM2.7Support Vector Machine Classification using the AI Competition Data Set  extended abstract
Kimberly L. Elmore, CIMMS/Univ. of Oklahoma and NOAA/NSSL, Norman, OK; and M. B. Richman
 
3:00 PM-3:30 PM, Tuesday, Exhibit Hall A
Coffee Break in Exhibit Hall (tues p.m.)
 
Wednesday, 23 January 2008
8:30 AM-10:00 AM, Wednesday, 219
Joint Session 3 Bridging the Gap between Artificial Intelligence and Statistics in Applications to Environmental Science-I (Joint between the 19th Conference on Probability and Statistics and the Sixth Conference on Artificial Intelligence Applications to Environmental Science)
Chairs: Michael B. Richman, Univ. of Oklahoma, Norman, OK; William M. Briggs, Weill Cornell Medical School, New York, NY
8:30 AMJ3.1Quantile Regression  
Caren Marzban, University of Washington/APL, Seattle, WA
9:00 AMJ3.2Improving Bayesian neural network predictions of N. American seasonal climate by correcting for extrapolations  
Aiming Wu, University of British Columbia, Vancouver, BC, Canada; and W. W. Hsieh, A. J. Cannon, and A. Shabbar
9:15 AMJ3.3Neural Network Compound Parameterization with a Quality Control of Larger Errors for Robust and Fast Calculation of Physical Processes in Numerical Environmental Models  
Vladimir M. Krasnopolsky, Univ. of Maryland and NOAA/NCEP/EMC/SAIC, Camp Springs, MD; and M. S. Fox-Rabinovitz, H. L. Tolman, and A. A. Belochitski
9:30 AMJ3.4An Artificial Neural Network to Forecast Thunderstorm Location: Performance Enhancement Attempts  extended abstract
Waylon G. Collins, NOAA/NWS, Corpus Christi, TX; and P. Tissot
9:45 AMJ3.5Statistical modeling of tornadic and non-tornadic severe weather outbreaks  
Andrew E. Mercer, CIMMS/Univ. of Oklahoma, Norman, OK; and C. M. Shafer, L. M. Leslie, M. B. Richman, and C. A. Doswell
 
10:00 AM-10:30 AM, Wednesday
Coffee Break (Wed a.m.)
 
10:30 AM-12:00 PM, Wednesday, 219
Joint Session 4 Bridging the Gap between Artificial Intelligence and Statistics in Applications to Environmental Science-II (Joint between the 19th Conference on Probability and Statistics and the Sixth Conference on Artificial Intelligence Applications to Environmental Science)
Chairs: Michael B. Richman, Univ. of Oklahoma, Norman, OK; William M. Briggs, Weill Cornell Medical School, New York, NY
10:30 AMJ4.1Data Requirements for Assimilating Concentration Data with a Genetic Algorithm  extended abstract
Sue Ellen Haupt, Penn State Univ., University Park, PA; and K. J. Long, G. Young, and A. Beyer-Lout
10:45 AMJ4.2A Cloud Detection Algorithm Applied to a Whole Sky Imager Instrument using Neural Networks  extended abstract
Andy Linfoot, Northrop Grumman IT/TASC, Chantilly, VA; and R. Alliss
11:00 AMJ4.3Development of an automated approach for identifying convective storm types using reflectivity and near-storm environment data  extended abstract
Steven A. Lack, NOAA/ESRL/GSD/CIRES Univ. of Colorado, Boulder, CO; and N. I. Fox
11:15 AMJ4.4A Bayesian framework for storm tracking using a hidden-state representation  
Lucas Scharenbroich, University of California, Irvine, CA; and C. C. Wang, H. Stern, P. Smyth, and G. Magnusdottir
11:30 AMJ4.5Multivariate cluster analysis for automated identification of precipitating weather systems  
Michael E. Baldwin, Purdue Univ., West Lafayette, IN
11:45 AMJ4.6Automated Classification of Convective Areas from Radar Reflectivity Using Decision Trees  extended abstract
David John Gagne II, CASA, Norman, OK; and A. McGovern and J. Brotzge
 
11:00 AM-6:30 PM, Wednesday, Exhibit Hall A
Exhibits Open (wednesday)
 
12:00 PM-1:30 PM, Wednesday
Lunch Break (Cash & Carry in Exhibit Hall) (Wednesday)
 
1:15 PM-2:30 PM, Wednesday, 205
Joint Session 1 The use of Artificial Intelligence in the field of Aviation, Range, and Aerospace Meteorology (Joint between the Sixth Conference on Artificial Intelligence Applications to Environmental Science and the 13th Conference on Aviation, Range and Aerospace Meteorology)
CoChair: Joanne Volk, Meteorological Service of Canada, Gatineau, QC Canada
Chair: John K. Williams, NCAR, Boulder, CO
1:15 PMJ1.1Update on WIND-3: an analog forecasting system for ceiling and visibility  
Bjarne Hansen, Environment Canada, Dorval, QC, Canada; and I. Gultepe and A. Ling
1:45 PMJ1.2Short-term wind forecasting at the Hong Kong International Airport by applying chaotic oscillatory-based neural network to LIDAR data  extended abstract
K.M. Kwong, Hong Kong Polytechnic University, Hong Kong, China; and P. W. Chan
2:00 PMJ1.3A regional classifier approach to aviation turbulence prediction  extended abstract
Jennifer Abernethy, NCAR/RAL, Boulder, CO; and R. Sharman and G. Wiener
2:15 PMJ1.4A machine learning approach to finding weather regimes and skillful predictor combinations for short-term storm forecasting  extended abstract
John K. Williams, NCAR, Boulder, CO; and D. A. Ahijevych, C. J. Kessinger, T. R. Saxen, M. Steiner, and S. Dettling
 
2:30 PM-4:00 PM, Wednesday, Exhibit Hall B
Formal Poster Viewing with Coffee Break (wednesday p.m.)
 
5:30 PM-6:30 PM, Wednesday, Exhibit Hall A
Reception in Exhibit Hall (Cash Bar) (Wednesday)
 
7:00 PM-9:00 PM, Wednesday
AMS Annual Awards Banquet at the Hilton Riverside Hotel
 

Browse the complete program of The 88th Annual Meeting (20-24 January 2008)