Second Conference on Artificial Intelligence (Expanded View)

* - Indicates paper has been withdrawn from meeting

Compact View of Conference

Sunday, 9 January 2000
7:30 AM-9:00 AM, Sunday
1 Short Course Registration
 
9:00 AM-6:00 PM, Sunday
1 Conference Registration
 
Monday, 10 January 2000
7:30 AM-5:30 PM, Monday
1 Conference Registration continues through Friday, 14 January
 
9:00 AM-11:00 AM, Monday
Session 1 Fuzzy Set Applications
Organizer: William R. Burrows, AES, Downsview, ON Canada
9:00 AM1.1Introduction to Fuzzy Sets. (Invited Presentation)  
Michael Hadjimichael, NRL, Monterey, CA
10:00 AMCoffee Break  
10:30 AM1.3Analog forecasting of ceiling and visibility using fuzzy sets  
Bjarne K. Hansen, AES, Dartmouth, NS, Canada
10:45 AM1.4A Procedure for Neuro-Fuzzy Dynamic-Statistical Data Modeling With Predictor Selection  
William R. Burrows, AES, Downsview, ON, Canada; and J. Montpetit
1.5Fuzzy logic approach for description of meteorological impacts on urban air pollution species: A Hong Kong case study  
Oleg M. Pokrovsky, Main Geophysical Observatory, St.Petersburg, Russia; and R. H. V. Kwok and C. N. Ng
1.6Land surface energy exchange simulation based on combined fuzzy sets and neural network approach  
Oleg M. Pokrovsky, Main Geophysical Observatory, St.Petersburg, Russia
 
11:30 AM-1:30 PM, Monday
1 Lunch Break
 
1:30 PM-4:30 PM, Monday
Session 2 Artificial Neural Networks
Organizer: Vladimir M. Krasnopolsky, SAIC, Camp Springs, MD
1:30 PM2.1Introduction to Artificial Neural Networks with Atmospheric and Oceanic Applications. (Invited Presentation)  
Vladimir M. Krasnopolsky, SAIC, Camp Springs, MD
2:30 PM2.2Application of neural networks for efficient calculation of sea water density or salinity from the UNESCO equation of state  
Vladimir M. Krasnopolsky, NOAA/NWS/NCEP, Camp Springs, MD; and D. Chalikov, L. C. Breaker, and D. B. Rao
2:45 PM2.3Spatially modelling temperature normals in the Rocky Mountains with kriging and cokriging estimators using ANN produced secondary information  
Henry N. Hayhoe, Agriculture and Agri-Food Canada, Ottawa, ON, Canada; and D. R. Lapen
3:00 PMCoffee Break  
2.5Calibration of Probabilistic, ensemble precipitation forecasts by an artificial neural network  
S. L. Mullen, Univ. of Arizona, Tucson, AZ; and M. M. Poulton and R. Buizza
3:30 PM2.6A neural network for hail size prediction  
Caren Marzban, NOAA/NSSL and CIMMS/Univ. of Oklahoma, Norman, OK; and A. Witt
3:45 PM2.7Stochastic generation of multi-station daily temperatures using a neural network  
Douglas A. Stewart, Environmental Dynamics Research, Inc., Lantana, FL
2.8A neural network solution to forecasting launch pad winds at Kennedy Space Center  
Kenneth P. Cloys, Air Force Institute of Technology, Wright-Patterson Air Force Base, OH; and M. K. Walters and W. P. Roeder
 
4:30 PM, Monday
1 Sessions end for the day
 
5:00 PM-7:00 PM, Monday
1 Formal Opening of Exhibits with Reception (Cash Bar)
 
7:30 PM, Monday
Fujita Banquet
 
Tuesday, 11 January 2000
8:30 AM-9:44 AM, Tuesday
Session 3 Artificial Intelligence Applications
Organizer: John Pickle, AER, Inc., Cambridge, MA
8:30 AM3.1Clustering Methodologies Applied To Short-Term Ensemble Forecasting  
Ahmad A. Alhamed, University of Oklahoma, Norman, OK; and S. Lakshimivarahan
8:45 AM3.2The application of machine learning to forecast stratus burn-off  
George A. Fenton III, LANL, Los Alamos, NM
3.3A web-enabled expert system for quality control of data from an observing system  
Nicole M Radziwill, NOAA/FSL, Boulder, CO; and K. L. Holub and S. I. Gutman
8:59 AM3.4Using trainable computing networks in the control of a physical system  
Markus Huttunen, Finnish Environment Institute, Helsinki, Finland; and E. Ukkonen and B. Vehvilainen
9:14 AM3.5A new marine forecast text generator built on a graphical depiction database.  
Norbert Driedger, AES, King City, ON, Canada; and B. Greaves, R. Paterson, and R. Trafford
9:29 AM3.6Autotext  
Tomas Vavargard, Swedish Meteorological and Hydrological Institute, Malmo, Sweden
 
10:00 AM-10:30 AM, Tuesday
1 Coffee Break (Exhibit Hours 10:00 A.M.-2:15 P.M.)
 
10:30 AM-11:15 AM, Tuesday
1 WALTER ORR ROBERTS LECTURE IN INTERDISCIPLINARY SCIENCE (Special President's Symposium on Environmental Applications). Title: Emerging Environmental Issues: A Global Perspective. Speaker: R. E. (Ted) Munn, Univ. of Toronto, Toronto, ON, Canada
 
11:15 AM-12:15 PM, Tuesday
1 WMO PRESENTATION (Special President's Symposium on Environmental Applications). Title: Meteorology and the Environment - the WMO Perspective. Speaker: John W. Zillman, WMO, Geneva, Switzerland
 
12:15 PM-2:15 PM, Tuesday
1 Conference Luncheon. Speaker: D. James Baker, Undersecretary of Commerce for Oceans and Atmosphere, Administrator for NOAA, Silver Spring, MD
 
2:15 PM-3:30 PM, Tuesday
1 Panel Discussion: Looking to the Future in Satellite Remote Sensing for Meteorological and Oceanographic Applications. Greg Withee, Washington, DC with participation by representatives from NASA, EUMETSAT, China, Japan and India
 
3:30 PM-4:00 PM, Tuesday
1 Coffee Break (Exhibit Hours 3:30-7:30 P.M.)
 
4:00 PM-4:30 PM, Tuesday
Joint Session 1 Joint Session with 10th Conference on Satellite Meteorology and Oceanography & Second Conference on Artificial Intelligence (Invited Oral Presentation) (Joint between the Second Conference on Artificial Intelligence and the 10th Conference on Satellite Meteorology and Oceanography)
Organizer: Richard L. Bankert, NRL, Monterey, CA
4:00 PMJ1.1APPLYING AI TO ENVIRONMENTAL SATELLITE DATA - WHAT PROGRESS ARE WE MAKING AND WHAT MIGHT THE FUTURE HOLD?  
Paul M. Tag, NRL, Monterey, CA
 
4:30 PM-5:45 PM, Tuesday
Joint Poster Session 1 (Joint with 10th Conference on Satellite Meteorology and Oceanography and Second Conference on Artificial Intelligence)
Organizers: Richard L. Bankert, NRL, Monterey, CA; Marie Colton, Office of Naval Research, Arlington, VA; Ronald Issacs, AER, Inc., Cambridge, MA
 JP1.1Producing satellite retrievals for NWP model initialization using artificial neural networks  
Robert J. Kuligowski, Penn State Univ., University Park, PA; and A. P. Barros
 JP1.2Neural Network Multi-Parameter Algorithms to Retrieve Atmospheric and Oceanic Parameters from Satellite Data  
Vladimir Krasnopolsky, NOAA/NWS/NCEP, Camp Springs, MD; and W. Gemmill
 JP1.3Neural network retrieval of winds from combined surface and satellite observations  
Edward M. Measure, Army Research Laboratory, White Sands Missile Range, NM; and J. Cogan
 JP1.4Applying Knowledge Discovery from Databases (KDD) to Combined Satellite and High Resolution Numerical Model Data  
Paul M. Tag, NRL, Monterey, CA; and R. L. Bankert, M. Hadjimichael, A. P. Kuciauskas, W. T. Thompson, and K. L. Richardson
 JP1.5Operational use of a neural network cloud classifier for flood forecasting at the UK Met. Office  
George S. Pankiewicz, UK Met Office, Bracknell, Berks., United Kingdom; and C. E. Pierce and S. C. Watkin
 JP1.6Identifying and tracking storms in satellite images  
V Lakshmanan, NOAA/NSSL and Univ. of Oklahoma, Norman, OK; and R. Rabin and V. DeBrunner
 JP1.7Neural network classification of satellite imagery based on the presence of elementary classes  
Kwo-Sen Kuo, Univ. of Alabama, Huntsville, AL; and T. A. Berendes, D. A. Berendes, and R. M. Welch
 JP1.8Algorithm Development and Mining (ADaM) System for Earth Science Applications  
Rahul Ramachandran, Univ. of Alabama, Huntsville, AL; and H. Conover, S. Graves, and K. Keiser
 
5:45 PM, Tuesday
1 Sessions end for the day
 
Wednesday, 12 January 2000
6:00 PM-7:30 PM, Wednesday
1 Reception (Cash Bar)
 
7:30 PM-9:30 PM, Wednesday
1 AMS Annual Awards Banquet
 

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