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, University of Alaska Fairbanks (UAF), 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.

Shibaji Chakraborty successfully defends his doctoral dissertation

By: miker  on: Sat., May 08, 2021 01:50 PM EDT  (88 Reads)
VT SuperDARN student Shibaji Chakraborty defended his doctoral disseration on Friday, May 7, 2021 to an examining committee of seven professors. Shibaji is advised by Drs. Jo Baker and Mike Ruohoniemi. He has published in leading journals on the impacts of solar flares on the lower ionosphere and his work has lead to an award from the NASA SWO2R ('Space Weather Operations-to-Research') program. The title of his dissertation is 'Characterization and Modeling of Solar Flare Effects in the Ionosphere Observed by HF Instruments'. While working towards his doctoral degree Shibaji earned a dual M.A. in Data Analysis & Applied Statistcs from the Department of Statistics and established significant collaborations with colleagues at LANL, NCAR/HAO, and Natural Resources Canada.

Congratulations, Shibaji!

Photo credit: Sarasi Banerjee

Read All VT News Articles

SuperDARN Workshop 2021 to be hosted by SANSA (South Africa) and held virtually, 24-28 May, 2021

By: miker  on: Thu., Mar. 18, 2021 05:03 PM EDT  (640 Reads)
Conference organizers Drs. Mike Kosch and Judy Stephenson have announced that the next SuperDARN workshop will be held virtually and hosted by the South African National Space Agency (SANSA). The dates for the meeting are May 24-28, 2021. For more information see the conference home page at link) Mike K has requested that all questions and comments be directed to
Significant dates:
Early bird registration deadline: 07 May 2021
Abstract Submission: 07 May 2021
Presentation submission deadline: 14 May 2021
Late bird registration deadline: 21 May 2021

Release of Radar Software Toolkit, RST4.5, and How-to-Cite information

By: miker  on: Wed., Jan. 20, 2021 10:38 AM EST  (1042 Reads)
On behalf of the SuperDARN Data Analysis Working Group, Co-chair Emma Bland (UNIS) has announced a new minor release of the Radar Software Toolkit, RST4.5. The release can be downloaded from Zenodo(external link) . For more information, click 'Read More'.

How to cite the software in publications:
SuperDARN Data Analysis Working Group, Thomas, E.G., Schmidt, M.T., Bland, E.C., Burrell, A.G., Ponomarenko, P.V., Reimer, A.S., Sterne, K.T., Walach, M.-T. (2021, January 13). SuperDARN Radar Software Toolkit (RST) 4.5 (Version v4.5). Zenodo. link)

Read All SuperDARN News Articles.

Updating of VT SuperDARN website underway

By: miker  on: Fri., Oct. 23, 2020 04:42 PM EDT  (1683 Reads)
Following the completion of the move of the VT SuperDARN group to new on-campus quarters, the group website is now undergoing a thorough updating, a process that may take several months. Temporary interruptions in some services are possible. If you have a time-critical need for a product that is unavailable, please contact a group member listed under 'Contact/Visit Us'.

New banner design credit: B. Kunduri
Over the course of August and September of 2020 the SuperDARN radar group, with its offices and lab, re-located from a building in the Corporate Research Center on the outskirts of Blacksburg to a location near the heart of campus. This was part of the move of the Center for Space Science and Engineering Research (Space@VT) which counts groups in the ECE and AOE departments. Owing to covid-19 circumstances actual activities in the new areas remain limited with most people accessible by email and Zoom. The new quarters for the SuperDARN group are located on the 3rd floor of Durham Hall. Details of our new mailing address are given in 'Read More'. We look forward to welcoming visitors in our new quarters!

Read All SuperDARN Technical News Articles.