Session 3 |
| | Neural Networks |
| |
Chairperson: William Hsieh, University of British Columbia, Vancouver, B.C. Canada |
| 8:30 AM | 3.1 | Probabilistic tropical cyclogenesis prediction
Christopher C. Hennon, Ohio State University, Columbus, OH |
| 8:45 AM | 3.2 | Optimization and Performance of a Neural Network Model Forecasting Water Levels for the Corpus Christi, Texas, Estuary 
Philippe E. Tissot, Texas A&M University, Corpus Christi, TX; and P. R. Michaud and D. T. Cox |
| 9:00 AM | 3.3 | NN for local meteorological forecasting
Reinaldo Bomfim Silveira, Instituto Nacional de Meteorologia, Brasilia, Brazil; and S. Sugahara |
| 9:15 AM | 3.4 | Neural Networks Estimates Atmospheric Variables in the Caribbean Basin
Nazario Ramirez-Beltran, University of Puerto Rico, Mayaguez, Puerto Rico; and A. Winter, F. Chong Rengifo, A. Veneros, and N. R. Escalante |
| 9:30 AM | 3.5 | Mixing height short range forecasting through neural network modeling applied to radon and meteorological data
Antonello Pasini, CNR, Rome, Italy; and F. Ameli and M. Loré |
| 9:45 AM | | Formal poster viewing with coffee break
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| | 3.6 | PAPER WITHDRAWN
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| 11:00 AM | 3.7 | Classifying El Nino and La Nina events using the Kohonen maps
Zouhair Lachkar, Direction de la Meteorologie Nationale du Maroc, Casablanca, Morocco; and S. Thiria, F. Badran, J.-P. Boulanger, and C. Menkes |
| 11:15 AM | 3.8 | An adaptive nonlinear MOS scheme for precipitation forecasts using neural networks
Yuval, University of British Columbia, Vancouver, BC, Canada; and W. W. Hsieh |
| 11:30 AM | 3.9 | A Nonlinear Statistical Model of Turbulent air-sea Fluxes
Denis Bourras, JPL, Pasadena, CA; and G. Caniaux and G. Mungov |
| 11:45 AM | 3.10 | A Combination of Empirical Orthogonal Function and Neural Network Approaches for Parameterizing Nonlinear Interactions in Wind Wave Models
Vladimir M. Krasnopolsky, NOAA/NCEP/EMC, Camp Springs, MD; and H. L. Tolman and D. V. Chalikov |