Detecting Large Scale Traveling Ionospheric Disturbances using Feature Recognition and Amateur Radio Data

TitleDetecting Large Scale Traveling Ionospheric Disturbances using Feature Recognition and Amateur Radio Data
Publication TypeConference Proceedings
Year of Conference2022
AuthorsEngelke, WD, Frissell, NA, Atkison, T, Erickson, PJ, Tholley, F
Conference NameHamSCI Workshop 2022
Date Published03/2022
PublisherHamSCI
Conference LocationHuntsville, AL
Abstract

A Large-Scale Transient Ionospheric Disturbance (LSTID) is a traveling perturbation in ionosphere electron density with a horizontal wavelength of approximately 1000 km and a period between 30 to 180 minutes. These can be detected by SuperDARN HF radar and GNSS Total Electron Content measurements. Recently it has been discovered that these can also be detected in amateur (ham) radio signal reports, which are now being generated in vast numbers by operators world-wide. A machine-learning technique was developed to find patterns in these data that indicate the presence of LSTIDs using an object detection technique.

Refereed DesignationNon-Refereed