| Sunday, 9 January 2000 |
| 7:30 AM-9:00 AM, Sunday
1 Short Course Registration |
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| 9:00 AM-6:00 PM, Sunday
1 Conference Registration |
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| Monday, 10 January 2000 |
| 7:30 AM-5:30 PM, Monday
1 Conference Registration continues through Friday, 14 January |
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| 9:00 AM-11:00 AM, Monday
Session 1 Fuzzy Set Applications |
Organizer: William R. Burrows, AES, Downsview, ON Canada
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| 9:00 AM | 1.1 | Introduction to Fuzzy Sets. (Invited Presentation)
Michael Hadjimichael, NRL, Monterey, CA |
| 10:00 AM | | Coffee Break
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| 10:30 AM | 1.3 | Analog forecasting of ceiling and visibility using fuzzy sets
Bjarne K. Hansen, AES, Dartmouth, NS, Canada |
| 10:45 AM | 1.4 | A Procedure for Neuro-Fuzzy Dynamic-Statistical Data Modeling With Predictor Selection
William R. Burrows, AES, Downsview, ON, Canada; and J. Montpetit |
|  | 1.5 | Fuzzy 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 |
| | 1.6 | Land surface energy exchange simulation based on combined fuzzy sets and neural network approach
Oleg M. Pokrovsky, Main Geophysical Observatory, St.Petersburg, Russia |
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| 11:30 AM-1:30 PM, Monday
1 Lunch Break |
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| 1:30 PM-4:30 PM, Monday
Session 2 Artificial Neural Networks |
Organizer: Vladimir M. Krasnopolsky, SAIC, Camp Springs, MD
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| 1:30 PM | 2.1 | Introduction to Artificial Neural Networks with Atmospheric and Oceanic Applications. (Invited Presentation)
Vladimir M. Krasnopolsky, SAIC, Camp Springs, MD |
| 2:30 PM | 2.2 | Application 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 PM | 2.3 | Spatially 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 PM | | Coffee Break
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| | 2.5 | Calibration 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 PM | 2.6 | A neural network for hail size prediction
Caren Marzban, NOAA/NSSL and CIMMS/Univ. of Oklahoma, Norman, OK; and A. Witt |
| 3:45 PM | 2.7 | Stochastic generation of multi-station daily temperatures using a neural network
Douglas A. Stewart, Environmental Dynamics Research, Inc., Lantana, FL |
| | 2.8 | A 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 |
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| 4:30 PM, Monday
1 Sessions end for the day |
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| 5:00 PM-7:00 PM, Monday
1 Formal Opening of Exhibits with Reception (Cash Bar) |
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| 7:30 PM, Monday
Fujita Banquet |
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| Tuesday, 11 January 2000 |
| 8:30 AM-9:44 AM, Tuesday
Session 3 Artificial Intelligence Applications |
Organizer: John Pickle, AER, Inc., Cambridge, MA
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| 8:30 AM | 3.1 | Clustering Methodologies Applied To Short-Term Ensemble Forecasting
Ahmad A. Alhamed, University of Oklahoma, Norman, OK; and S. Lakshimivarahan |
| 8:45 AM | 3.2 | The application of machine learning to forecast stratus burn-off
George A. Fenton III, LANL, Los Alamos, NM |
| | 3.3 | A 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 AM | 3.4 | Using 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 AM | 3.5 | A 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 AM | 3.6 | Autotext
Tomas Vavargard, Swedish Meteorological and Hydrological Institute, Malmo, Sweden |
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| 10:00 AM-10:30 AM, Tuesday
1 Coffee Break (Exhibit Hours 10:00 A.M.-2:15 P.M.) |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 3:30 PM-4:00 PM, Tuesday
1 Coffee Break (Exhibit Hours 3:30-7:30 P.M.) |
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| 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
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| 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
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| | JP1.1 | Producing satellite retrievals for NWP model initialization using artificial neural networks
Robert J. Kuligowski, Penn State Univ., University Park, PA; and A. P. Barros |
| | JP1.2 | Neural Network Multi-Parameter Algorithms to Retrieve Atmospheric and Oceanic Parameters from Satellite Data
Vladimir Krasnopolsky, NOAA/NWS/NCEP, Camp Springs, MD; and W. Gemmill |
| | JP1.3 | Neural network retrieval of winds from combined surface and satellite observations
Edward M. Measure, Army Research Laboratory, White Sands Missile Range, NM; and J. Cogan |
| | JP1.4 | Applying 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 |
| | JP1.5 | Operational 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 |
| | JP1.6 | Identifying and tracking storms in satellite images
V Lakshmanan, NOAA/NSSL and Univ. of Oklahoma, Norman, OK; and R. Rabin and V. DeBrunner |
| | JP1.7 | Neural 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 |
| | JP1.8 | Algorithm Development and Mining (ADaM) System for Earth Science Applications
Rahul Ramachandran, Univ. of Alabama, Huntsville, AL; and H. Conover, S. Graves, and K. Keiser |
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| 5:45 PM, Tuesday
1 Sessions end for the day |
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| Wednesday, 12 January 2000 |
| 6:00 PM-7:30 PM, Wednesday
1 Reception (Cash Bar) |
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| 7:30 PM-9:30 PM, Wednesday
1 AMS Annual Awards Banquet |
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