First Observations of Large Scale Traveling Ionospheric Disturbances Using Automated Amateur Radio Receiving Networks
Name
Geophysical Research Letters - 2022 - Frissell - First Observations of Large Scale Traveling Ionospheric Disturbances Using.pdf
Description
Published version
Size
3.25 MB
Format
Adobe PDF
Checksum (MD5)
6b1d2facb754814c3021b9f9351edd6f
Author(s) • • • • • • • • •
Frissell, Nathaniel A
Kaeppler, Stephen R
Sanchez, Diego F
Perry, Gareth W
Engelke, William D
Erickson, Philip J
Coster, Anthea J
Ruohoniemi, J Michael
Baker, Joseph BH
West, Mary Lou
Date Issued
February 21, 2022
Journal
Geophysical Research Letters
Publisher
American Geophysical Union
Citation
Frissell, N. A., Kaeppler, S. R., Sanchez, D. F., Perry, G. W., Engelke, W. D., Erickson, P. J., et al. (2022). First observations of large scale traveling ionospheric disturbances using automated amateur radio receiving networks. Geophysical Research Letters, 49, e2022GL097879.
Version
Final published version
Abstract
We demonstrate a novel method for observing Large Scale Traveling Ionospheric Disturbances (LSTIDs) using high frequency (HF) amateur radio reporting networks, including the Reverse Beacon Network (RBN), Weak Signal Propagation Reporter Network (WSPRNet), and PSKReporter. LSTIDs are quasi-periodic variations in ionospheric densities with horizontal wavelengths >1,000 km and periods between 30 and 180 min. On Nov 3, 2017, LSTID signatures were observed simultaneously over the continental United States in amateur radio, SuperDARN HF radar, and GNSS Total Electron Content with a period of ∼2.5 hr, propagation azimuth of ∼163°, horizontal wavelength of ∼1680 km, and phase speed of ∼1,200 km hr−1. SuperMAG SME index enhancements and Poker Flat Incoherent Scatter Radar measurements suggest the LSTIDs were driven by auroral electrojet intensifications and Joule heating. This novel measurement technique has applications in future scientific studies and for assessing the impact of LSTIDs on HF communications.
MIT Department
Haystack Observatory
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivatives
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1029/2022gl097879