Aerial view of the Fort Hays SuperDARN site operated by Virginia Tech.
Goose Bay Radar: The grand old dame of HF radars.
SuperDARN radar at the McMurdo station in Antarctica.
View of the Blackstone SuperDARN radar operated by Virginia Tech.
Electronics at the Blackstone radar site.
An example of a ray tracing simulation.
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Student Opportunity
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Information on paid student intersnhips is provided by the Institute for Broadening Participation (I...
Applications Open for the 2025 NASA Heliophysics Summer School (Deadline: Jan. 31, 2025)
UCAR Cooperative Programs for the Advancement of Earth System Science (CPAESS) partners with NASA to...
International EISCAT Radar School, 11-16 August 2025, Kilpisjarvi, Finland
It is expected that the new phased-array EISCAT_3D incoherent scatter radar will gradually become av...
SuperDARN
View AllSuperDARN 2025 Workshop to be held in Roanoke, Virginia, June 2-6, 2025
We are pleased to announce that the SuperDARN 2025 Workshop will be held in Roanoke, Virginia at the...
AGU24 Meeting to take place in Washington, D.C., December 9-13, 2024
The annual meeting of the American Geophysical Union (AGU) will take place in Washington D.C., Dec. ...
Virginia Tech
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About 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 ionosphere and other effects that provide scientists with information about 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.
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 here. 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 here.
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.
International SuperDARN Collaborators
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.