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

* - Indicates paper has been withdrawn from meeting

Compact View of Conference

Sunday, 9 January 2005
7:30 AM, Sunday
Short Course Registration
 
9:00 AM-5:40 PM, Sunday
Conference Registration
 
Monday, 10 January 2005
7:30 AM, Monday
Registration continues through Thursday, 13 January
 
9:00 AM-11:15 AM, Monday
Session 1 AI Techniques
Chair: Caren Marzban, CAPS/Univ. of Oklahoma, and Applied Physics Lab/University of Washington, Seattle, WA
9:00 AM1.0aWelcoming Remarks  
Caren Marzban, CAPS/Univ. of Oklahoma, Norman, OK and University of Washington, Seattle, WA
9:15 AM1.1On Genetic Algorithms and Discrete Performance Measures  extended abstract wrf recording
Caren Marzban, CAPS/Univ. of Oklahoma, Norman, OK and University of Washington, Seattle, WA; and S. E. Haupt
9:30 AM1.2Validation of Receptor/ Dispersion Model Coupled with a Genetic Algorithm  extended abstract wrf recording
Sue Ellen Haupt, Penn State University, State College, PA; and G. Young
9:45 AM1.3Nonlinear principal predictor analysis using neural networks  
Alex J. Cannon, MSC, Vancouver, BC, Canada; and W. W. Hsieh
10:00 AM1.4Nonlinear complex principal component analysis  
Sanjay S.P. Rattan, University of British Columbia, Vancouver, BC, Canada; and W. W. Hsieh
10:15 AMCoffee Break in Poster Session Room  
10:45 AM1.5Techniques for tuning fuzzy logic algorithms  
John K. Williams, NCAR, Boulder, CO; and G. Meymaris
1.6Quantitative Analysis of the Benefit of Ontologies and Rich Metadata for Earth Science Data Discovery  
Carroll A. Hood, Raytheon, Aurora, CO; and L. D. Forsyth and L. Olsen
11:00 AM1.6aPredicting Good Probabilities with Supervised Learning  extended abstract wrf recording
Rich Caruana, Cornell University, Ithaca, NY; and A. Niculescu-Mizil
11:15 AM1.7Fingerprinting Significant Weather Events  extended abstract wrf recording
Paul Knight, Penn State Univ., University Park, PA; and J. Ross, B. Root, G. Young, and R. Grumm
 
12:00 PM-1:30 PM, Monday
Lunch Break
 
1:30 PM-2:45 PM, Monday
Session 2 General Interest AI Applications
Chair: Vladimir Krasnopolsky, EMC/NCEP/NOAA/NWS (SAIC) and ESSIC, University of Maryland, Camp Springs, MD
2.1Environmental Applications of Machine Learning: Modelling Population Dynamics and Habitat Suitability  
Saso Dzeroski, Jozef Stefan Institute, Ljubljana, Slovenia
1:30 PM2.1aGeneration of Real-time Narrative Summaries for Real-time Water Levels and Meteorological Observations in PORTSŪ  extended abstract wrf recording
Thomas Bethem, NOAA, Silver Spring, MD; and J. Burton, T. Caldwell, M. Evans, R. Kittredge, B. Lavoie, and J. Werner
1:45 PM2.2Accurate and Fast Neural Network Emulations of the NCAR Community Atmospheric Model Radiation: Accuracy of Approximation and Computational Performance  
Vladimir Krasnopolsky, EMC/NCEP/NOAA/NWS (SAIC) and ESSIC, University of Maryland, Camp Springs, MD; and M. S. Fox-Rabinovitz and D. Chalikov
2:00 PM2.3Using Artificial Neural Networks for Predicting Storm Surge Propagation in North Sea and the Thames Estuary.  
Daniel B. Prouty, University of Southampton, Southampton, United Kingdom; and P. E. Tissot and A. A. Anwar
2:15 PM2.4Sea surface temperature patterns on the West Florida Shelf using Growing Hierarchical Self-Organizing Maps  extended abstract wrf recording
Yonggang Liu, University of South Florida, St. Petersburg, FL; and R. H. Weisberg and R. He
2:30 PMDiscussion  
 
2:30 PM-4:00 PM, Monday
Formal Poster Viewing with Coffee Break
 
5:30 PM, Monday
Sessions End for the day
 
5:30 PM-7:00 PM, Monday
FORMAL OPENING OF EXHIBITS WITH RECEPTION (CASH BAR)
 
7:30 PM, Monday
Suki Manabe Symposium Banquet
 
Tuesday, 11 January 2005
8:30 AM-9:00 AM, Tuesday
Presentation of Interest - 'Global Precipitation Observation From Satellite Image Using Artificial Neural Networks' Soroosh Sorooshian, University of California, Irvine, Irvine, CA: Part of The Symposium on Living in the Coastal Zone
 
9:00 AM-11:30 AM, Tuesday
Joint Session 5 AI Applications with a Nowcasting Flavor (Joint between the Fourth Conference on Artificial Intelligence and the 21st International Conference on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology)
Chair: V. Lakshmanan, CIMMS/Univ. of Oklahoma/NOAA/NSSL, Norman, OK
9:00 AMJ5.1Feature selection of radar-derived tornado attributes with support vector machines  extended abstract wrf recording
Michael B. Richman, University of Oklahoma, Norman, OK; and B. Santosa and T. B. Trafalis
9:15 AMJ5.2A Neural Network for Detecting and Diagnosing Tornadic Circulations using the Mesocyclone Detection and Near Storm Environment Algorithms  extended abstract wrf recording
V. Lakshmanan, CIMMS/Univ. of Oklahoma/NOAA/NSSL, Norman, OK; and G. J. Stumpf and A. Witt
J5.3Short-term wind forecasting using off-site observations and numerical weather prediction  
Kristin Larson, 3 Tier Environmental Forecast Group, Inc., Seattle, WA
9:30 AMJ5.4A neural network to retrieve upper level winds from ground based profilers  extended abstract
Young Yee, U.S. Army Research Laboratory, White Sands Missile Range, NM; and E. Creegan
9:45 AMFormal Poster Viewing with Coffee Break  
11:00 AMJ5.5Automated forecasting of ceiling and visibility for aviation: exploration of a data mining-based forecast method  extended abstract wrf recording
Paul H. Herzegh, NCAR, Boulder, CO; and G. Wiener, R. Bateman, and B. Weekley
11:15 AMJ5.6A Real-Time Learning Technique to Predict Cloud-to-Ground Lightning  extended abstract wrf recording
V. Lakshmanan, CIMMS/Univ. of Oklahoma and NOAA/NSSL, Norman, OK; and G. J. Stumpf
 
9:45 AM, Tuesday
Poster Session 1 Poster
 P1.1Teaching Artificial Intelligence to Meteorology Undergraduates  extended abstract
George S. Young, Penn State University, University Park, PA; and S. E. Haupt
 P1.2Self-Organizing Nonlinear Output Map (SONO): An Artificial Neural Network Suitable for Cloud-Patch based Rainfall Estimation  extended abstract
Kuo-lin Hsu, University of California, Irvine, CA; and Y. Hong and S. Sorooshian
 P1.4Artificial Neural Network in Hydrologic Forecasting (Model Generalization Using Cross Validation)  
Hamid Moradkhani, University of California at Irvine (UCI), Irvine, CA; and K. L. Hsu and S. Sorooshian
 
11:30 AM-1:30 PM, Tuesday
Exhibits Open
 
12:15 PM, Tuesday
Lunch Break
 
1:30 PM-2:45 PM, Tuesday
Joint Session 6 AI in Studies with a Climate Component (Joint between the Fourth Conference on Artificial Intelligence and the 21st International Conference on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology)
Chair: Antonello Pasini, CNR, Rome Italy
1:30 PMJ6.0Concluding Remarks and Discussion  
Antonello Pasini, CNR, Rome, Italy
1:45 PMJ6.1Distribution and variability of atmospheric temperature and water vapor derived from HIRS measurement  extended abstract
Lei Shi, NOAA/NESDIS/NCDC, Asheville, NC; and J. J. Bates
2:00 PMJ6.2The Application of Support Vector Machines to the Analysis of Global Datasets from MISR  extended abstract wrf recording
Michael J. Garay, UCLA, Los Angeles, CA; and D. M. Mazzoni, R. Davies, and D. Diner
2:15 PMJ6.3Neural network modeling as a tool for climatic analyses of forcings/temperatures relationships at global and regional scales  extended abstract wrf recording
Antonello Pasini, CNR, Rome, Italy; and F. Ameli
2:30 PMJ6.4Artificial Neural Networks (ANNs) Application for the Occurrence Date Prediction of Each Phenological Stage in Wheat Using Climatic Data  extended abstract
Babak Safa, Sepahan Kara Co., Isfahan, Iran; and A. Liaghat
 
3:00 PM-5:00 PM, Tuesday
Exhibits Open
 
3:00 PM, Tuesday
Coffee Break in Exhibit Hall
 
5:30 PM, Tuesday
Sessions end for the day
 
Wednesday, 12 January 2005
10:00 AM-12:00 PM, Wednesday
Presidential Forum
 
5:30 PM-6:30 PM, Wednesday
Exhibits Open
 
7:30 PM, Wednesday
AMS Annual Awards Banquet
 
Thursday, 13 January 2005
5:30 PM, Thursday
Conference Ends
 
6:00 PM, Thursday
Ed Lorenz Symposium Banquet
 

Browse the complete program of The 85th AMS Annual Meeting