3.3
Predicting Turbulence Using a Neural Network

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Wednesday, 20 January 2010: 11:00 AM
B204 (GWCC)
Valliappa Lakshmanan, CIMMS/Univ. of Oklahoma, NOAA/NSSL, Norman, OK

Presentation PDF (89.6 kB)

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.