3rd Conference on Artificial Intelligence Applications to the Environmental Science
    

Session 3

 Neural Networks
 Organizer: William Hsieh, University of British Columbia, Vancouver, B.C. Canada
8:30 AM3.1Probabilistic tropical cyclogenesis prediction  
Christopher C. Hennon, Ohio State University, Columbus, OH
8:45 AM3.2Optimization and Performance of a Neural Network Model Forecasting Water Levels for the Corpus Christi, Texas, Estuary  extended abstract
Philippe E. Tissot, Texas A&M University, Corpus Christi, TX; and P. R. Michaud and D. T. Cox
9:00 AM3.3NN for local meteorological forecasting  
Reinaldo Bomfim Silveira, Instituto Nacional de Meteorologia, Brasilia, Brazil; and S. Sugahara
9:15 AM3.4Neural Networks Estimates Atmospheric Variables in the Caribbean Basin  extended abstract
Nazario Ramirez-Beltran, University of Puerto Rico, Mayaguez, Puerto Rico; and A. Winter, F. Chong Rengifo, A. Veneros, and N. R. Escalante
9:30 AM3.5Mixing height short range forecasting through neural network modeling applied to radon and meteorological data  extended abstract
Antonello Pasini, CNR, Rome, Italy; and F. Ameli and M. Loré
9:45 AMFormal poster viewing with coffee break  
3.6Combined usage of Neural Net technology and minimization procedure allows us to improve the retrieval accuracy and to obtain error estimates of concentrations of water constituents from MERIS data  
Helmut Schiller, GKSS Research Center, Geesthacht, Germany; and R. Doerffer
11:00 AM3.7Classifying 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 AM3.8An adaptive nonlinear MOS scheme for precipitation forecasts using neural networks  
Yuval, University of British Columbia, Vancouver, BC, Canada; and W. W. Hsieh
11:30 AM3.9A Nonlinear Statistical Model of Turbulent air-sea Fluxes  
Denis Bourras, JPL, Pasadena, CA; and G. Caniaux and G. Mungov
11:45 AM3.10A Combination of Empirical Orthogonal Function and Neural Network Approaches for Parameterizing Nonlinear Interactions in Wind Wave Models  extended abstract
Vladimir M. Krasnopolsky, NOAA/NCEP/EMC, Camp Springs, MD; and H. L. Tolman and D. V. Chalikov

Tuesday, 11 February 2003: 8:30 AM-12:15 PM

* - Indicates paper has been withdrawn from meeting

Browse or search the entire meeting