HR: 1340h
AN: AE33A-0174    [Abstracts]
TI: Automatic detection of lightning generated whistlers using data from the QuakeSat I satellite.
AU: * Pandit, T
EM: tarun@berkeley.edu
AF: University of California, Berkeley, 90-1116 1 Cyclotron Road, Berkeley, CA 94720
AU: Kuzma, H A
EM: andheidi@berkeley.edu
AF: University of California, Berkeley, 90-1116 1 Cyclotron Road, Berkeley, CA 94720
AU: Bortnik, J
EM: jbortnik@stanford.edu
AF: QuakeFinder, 250 Cambridge Ave. Suite 204 , Palo Alto, CA 94306
AB: Using a signal detection technique based on the dispersion characteristics of a typical lightning generated whistler, we analyze the data recorded on the magnetometer of the QuakeSat I satellite, at an altitude of 840 km. Results show that our analysis technique is able to detect whistler signals that are well below the noise threshold and cannot be visually detected in frequency-time spectrograms. As an example, we pick several lightning-generated whistler events from our data and quantify the expected delay and damping of the signals using a ray tracing model and data from the National Lightning Detection Network, to show good agreement with observations.
DE: 6904 Atmospheric propagation
DE: 6974 Signal processing
DE: 6979 Space and satellite communication
DE: 0394 Instruments and techniques
DE: 0399 General or miscellaneous
SC: Atmospheric and Space Electricity [AE]
MN: 2004 AGU Fall Meeting