Extended Abstract (96K)3.3
Predicting Turbulence Using a Neural Network
Valliappa Lakshmanan, CIMMS/Univ. of Oklahoma, NOAA/NSSL, Norman, OK
In this paper, we use a neural network whose output node is a sigmoid function to predict the probability of clear-air turbulence given a set of parameters derived from radar and satellite observations and from numerical weather prediction model grids.
Session 3, Third Annual AMS Artificial Intelligence Forecasting Contest: Methods and Results
Wednesday, 20 January 2010, 10:30 AM-12:00 PM, B204
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