The TangerineSDR is the TAPR-HamSCI joint project to create a software defined radio that meets the joint needs of the amateur and scientific communities. The TangerineSDR is slated to be at the heart of the high-performance version of the HamSCI Personal Space Weather Station. In his January/February 2020 QEX article, TangerineSDR Chief Architect Scotty Cowling WA2DFI explains the requirements and use cases of the TangerineSDR. Full text of the article is availble here. Reprinted with permission; copyright ARRL.
This week, many HamSCI members are presenting their research at the American Geophysical Union (AGU) Fall Meeting in San Francisco. The AGU Fall meeting is one of the largest geoscience meetings in the world, and consists of about 24,000 attendees. The scientific program includes sessions pertaining to all areas of geophysics, including space weather, the solar wind, auroral activity, the ionosphere, and the neutral atmosphere. Below is a list of selected presentations and sessions being given by HamSCI members, or of general interest to ham radio operators. The complete scientific program is available here.
Read more for a selected list of presentations by and/or of interest to HamSCI.
HamSCI has an opening for a Post-Doctoral Research Associate! Please see the advertisement below.
The University of Scranton Department of Physics and Engineering seeks a post-doctoral research associate starting in Spring/Summer 2020 in support of a recently awarded NSF-supported Distributed Array of Small Instruments (DASI) grant to develop a prototype Personal Space Weather Station. The successful post-doctoral researcher will conduct software development, and subsequent scientific studies, for a multi-site geographically distributed high frequency (HF; 3 – 30 MHz) software defined radio (SDR) network using signals of opportunity. Primary responsibilities will involve the development and implementation of an ionospheric sounding algorithm using the HF observation network for the purpose of studying geospace phenomena: traveling ionospheric disturbances, ionospheric responses to solar flares, geomagnetic storms and substorms, and other space weather effects. The ideal candidate will have expertise in ionospheric remote sensing, geospace physics including the ionosphere and thermosphere, and digital signal processing algorithm development and implementation.