Session 2 |
| | Artificial Neural Networks |
| | Organizer: Vladimir M. Krasnopolsky, SAIC, Camp Springs, MD
|
| 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
|
|  | 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 |