How to Acknowledge use of SuperDARN data
The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided in the following link: link) Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found at Radar Maps/Tables/Links

Welcome to SuperDARN!
SuperDARN stands for Super Dual Auroral Radar Network. The network consists of more than 30 low-power HF radars that look into Earth's upper atmosphere beginning at mid-latitudes and extending into the polar regions. The radars operate continuously and observe the motion of charged particles (plasma) in the ionosphere and other effects that provide scientists with information on Earth's space environment. The knowledge gained from this work provides insight into space weather hazards including radiation exposure for high-altitude travelers and disruptions to communication networks, navigation systems (GPS), and electrical power grids.

The SuperDARN Research Group at Virginia Tech (VT) collaborates with an international community of scientists and engineers to operate radars and share data. The VT Group operates five radars. For a summary of the radars and their affiliations, visit the Radar Maps/Tables/Links web page.

U.S. SuperDARN Collaboration
The U.S. component of SuperDARN is funded by the National Science Foundation under the Space Weather Research (SWR) Program as a collaboration between Virginia Tech (lead institution), Dartmouth College, Penn State University, and the Johns Hopkins University Applied Physics Laboratory (JHU/APL). Click logos for access to the web sites of the U.S. partners.

In addition to the U.S. partners, the SuperDARN collaboration counts many international partner institutions that share an interest in studies of the ionosphere and the relationship between the ionosphere and space weather. Click the logo below for access to the University of Saskatchewan SuperDARN site that features a real-time data display based on links to radars in North America.

The Institute of Space Weather Sciences (ISWS) at the New Jersey Institute of Technology will host a Research Experience for Undergraduates (REU) program in the summer of 2023 (May 22 to July 28, 2023), funded by the National Science Foundation.

Undergraduate students in STEM fields will be invited to Newark, New Jersey for 10 weeks to engage in cutting-edge solar physics, terrestrial physics, space weather, and big data research with space physicists, astronomers, and computer scientists. A list of research projects offered can be viewed at this link: link) Students will be provided a stipend of $6,000 for the 10-week program. Additionally, travel, meal allowance, and accommodation are provided to each student. Applications by members of under-represented groups are encouraged. For more information about the program and online application, please visit the ISWS REU website: link)

Deadline for applications: February 15, 2023
The Los Alamos National Laboratory (LANL) is accepting applications for its 2023 Space Weather Summer School, scheduled for June 5th-July 28th 2023. The school, which will be in-presence, combines lectures and summer research projects. Students receive a prestigious Vela Fellowship (worth $13,000 to cover travel and living expenses), technical training, and opportunities for professional development. Information about the school can be found at: link)

The details of the application process can be found at: link)

Application deadline: January 31st 2023

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Release of pyDARN v3.1 announced

By: miker  on: Thu., Jan. 26, 2023 10:51 AM EST  (119 Reads)
On behalf of the Data Visulaization Working Group, co-Chair Carley Martin has announced the release of a new version of pyDARN software, namely, pyDARN v3.1

The new version of pyDARN can be installed via
pip3 install pydarn
or an existing installation can be updated via
pip3 install --upgrade pydarn

A list of the new features via the 'Read More' link
In Carley's words: 'The DVWG is always looking for more help testing and developing, I'm more than happy to walk through how to test or review code from students/staff new to SuperDARN and python. If anyone is interested in helping out with development of pyDARN and/or pyDARNio, let me or one of the DVWG chairs know!

Thanks to all involved in the development of our new release,
Special thanks to Emma Bland, we wish you all the best in Australia!'

Release of Radar Software Toolkit v5.0

By: miker  on: Thu., Jan. 26, 2023 10:42 AM EST  (56 Reads)
On behalf of the SuperDARN Data Analysis Working Group, the co-Chair Emma Bland has announced that a new major release of the SuperDARN Radar Software Toolkit has been published on Zenodo: link) . Click on 'Read More' to see a list of improvements.
Installation instructions and RST tutorials are available in the documentation: link)
To cite the software in publications:
SuperDARN Data Analysis Working Group, Thomas, E.G., Reimer, A.S., Bland, E.C., Burrell, A.G., Grocott, A., Ponomarenko, P.V., Schmidt, M.T., Shepherd, S.G., Sterne, K.T., & Walach, M.-T. (2022). SuperDARN Radar Software Toolkit (RST) 5.0 (v5.0). Zenodo. link)
In Emma's words: 'We encourage users to contact us if they have questions or find problems with the software. New contributions to the software are also most welcome. You can contact us by opening an "issue" on Github (, or alternatively by email.

The RST 5.0 release is a major milestone for the Data Analysis Working Group, and I'd like to thank everyone who has contributed. This is also time for me to announce that I have stepped down as the co-chair of the DAWG as I will be starting a new job in January. We welcome Adrian Grocott (Lancaster University) as the new scientific chair of the DAWG, who will co-chair the group together with Kevin Sterne (Virginia Tech).'

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Seeking undergrad students - Nationwide Eclipse Ballooning Project

By: miker  on: Fri., Dec. 09, 2022 11:39 AM EST  (177 Reads)
Do you want to be in the shadow of the next two US solar eclipses? We need students for a project sponsored by NASA Space Grant to live-stream the April 2024 Total Solar Eclipse from the edge of space. An information session will be held (with light refreshments) on Monday Dec. 12th 3-4pm in Goodwin 145 and on zoom. The project will officially kick-off in January, and no prior experience is required to join the project. Through this project you will learn the fundamentals of high-altitude ballooning and work on the design, assembly, verification, and testing of project equipment including a ground station, Raspberry Pi camera payload, cutdown mechanism, data collection units, tracking systems, and payloads of your own design.

If you think you might be interested in this project but cannot make this time, still fill out the interest form ( so we know to reach out to you before next semester.

We hope to see you at the information session!
Ginny Smith and Kevin Sterne
Following on a trip earlier this month to prepare the antenna poles meant for a dual radar build in Iceland for shipping, a Dartmouth College - Virginia Tech crew returned to the Blackstone radar site to actually load the poles and related hardware into two shipping containers. The trip took place June 14-16 under difficult conditions of high temperature and sometimes punishing humidity. The PI for the Iceland radar build, Simon Shepherd from Dartmouth College, directed the loading. From Virginia Tech four crew members returned for this trip (Mike Ruohoniemi, Kevin Sterne, Ian Kelley, Mark Higgins) and were joined by undergrad John Fiorini. The photo shows the crew triumphant after loading the second container with antenna base sections. On June 21 Kevin returned solo to the site to oversee pickup of the containers by a trucking company. The hardware is now on its way to Iceland to complete the 4th MSI SuperDARN radar build.
Photo credit: Ned Jones (Virginia Tech Southern Piedmont Agricultural Research and Extension Center)
In photo from left to right: Kevin, Mark, Simon, Ian, Mike, John

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