Predicting Turbulence Using a Neural Network

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
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.