VHF Lightning Spectra Determined from Satellite-based RF Sensors
Abstract
Electric field waveforms of narrow bipolar events (NBE) and positive return strokes (RS) collected by the FORTE satellite have been analyzed using Fourier methods to determine the frequency dependence of each event's amplitude spectrum. The FORTE satellite was launched in 1997 and had an RF payload consisting of a two-polarization log periodic antenna and two tunable RF receivers. Receiver 1 had dual 22 MHz passbands and Receiver 2 had an 85 MHz passband. Data collection was triggered by looking for coincidence in several 1 MHz-wide trigger sub-bands, which enabled triggering on relatively weak lightning events compared to previous satellite sensors. Receiver 1 was used for the first two years of FORTE's operation and Receiver 2 was used for the following two years; during this tenure over 2 million events were detected. A tightly constrained event classification algorithm identified NBE and RS waveforms using data in three sub-bands: 28-48 MHz and 120-140 MHz from Receiver 1, and 30-80 MHz from Receiver 2. The higher bands of Receiver 2 (100-300 MHz) were not explicitly excluded; the algorithm simply did not find events in the higher bands that met its criteria. The amplitude spectra for both NBE and RS waveforms was found to fall off as approximately f-1 in the 28-48 and 30-80 MHz sub-bands and as f-5 in the 120-140 MHz band. In the 28-48 MHz sub-band a distinct subset of events were identified in the return stroke data set that were relatively narrow (< 20 us) with a positive spectral slope ( +1). This study expands the frequency range over which previous spectral analysis has been done, well into the VHF. Prior studies were ground-based and thus had an upper frequency limit of 20 MHz due to signal attenuation at higher frequencies.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2017
- Bibcode:
- 2017AGUFMAE33A2526B
- Keywords:
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- 3304 Atmospheric electricity;
- ATMOSPHERIC PROCESSES;
- 3324 Lightning;
- ATMOSPHERIC PROCESSES;
- 3360 Remote sensing;
- ATMOSPHERIC PROCESSES