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: http://vt.superdarn.org/tiki-read_article.php?articleId=376(external 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 University of Colorado Boulder invites undergraduates to apply for a paid summer research experience for highly motivated students interested in solar and space physics. Students will come to Boulder, Colorado for 10 weeks to work on a research project with a mentor. The topic areas span the field of solar and space physics, from instrument hardware to data analysis to modeling of the Sun, the Sun-Earth system, the near-Earth environment, or the heliosphere. Successful applicants will work with scientist mentors at one of eight Boulder institutes (see 'Read More'). For further details see https://lasp.colorado.edu/home/information/undergraduates/reu/(external link) and to request more information, email

Deadline for applications: February 1, 2023

NASA Jack Eddy Postdoctoral Fellowships 2023 announced

By: miker  on: Sun., Dec. 04, 2022 03:24 PM EST  (148 Reads)
UCAR | CPAESS is pleased to announce the 2023 call for applications to the NASA Jack Eddy Postdoctoral Fellowships, sponsored by the NASA Living With a Star (LWS) program. The two-year fellowships are designed to train the next generation of researchers in the emerging interdisciplinary field of Heliophysics. Early-career PhDs are matched with experienced scientists at U.S. host research institutions. There will be up to 5 positions available this year. For more information including how to apply see the program website at heliophysics.ucar.edu/jack-eddy

Deadline for application: January 20, 2023

Read All VT News Articles

The open-source library of software for SuperDARN data visualization developed by the SuperDARN community and known as pyDARN has been reviewed in a paper published in Frontiers in Astronomy and Space Science by Xueling Shi and coauthors from the Data Visualization Working Group (DVWG):

Shi X, Schmidt M, Martin CJ, Billett DD, Bland E, Tholley FH, Frissell NA, Khanal K, Coyle S, Chakraborty S, Detwiller M, Kunduri B and McWilliams K (2022) pyDARN: A Python software for visualizing SuperDARN radar data. Front. Astron. Space Sci. 9:1022690. doi: 10.3389/fspas.2022.1022690

The paper is part of the Research Topic 'Snakes on a Spaceship - An Overview of Python in Space Physics.' It can be accessed at https://www.frontiersin.org/articles/10.3389/fspas.2022.1022690/full?&utm_source=Email_to_authors_&utm_medium=Email&utm_content=T1_11.5e1_author&utm_campaign=Email_publication&field=&journalName=Frontiers_in_Astronomy_and_Space_Sciences&id=1022690(external link)

The last major release of pyDARN was v3.0 on April 20, 2022 as announced by Carley Martin (University of Saskatchewan) on behalf of the Data Visualization Working Group (DVWG). See 'Read More' for how to install and more information.

Release of pyDARNio v1.2.0 announced

By: miker  on: Wed., Nov. 30, 2022 05:12 PM EST  (40 Reads)
On behalf of the Data Visualization Working Group (DVWG), Carley Martin of the University of Saskatchewan has announced the release of the new version of pyDARNio. This is the Python SuperDARN io package used with pyDARN and other libraries. A description of the new features of pyDARNio v1.2.0 can be viewed by clicking below on 'Read More'.

The new version pyDARNio can be installed via
pip3 install pydarnio​
or an existing installation can be updated via
pip3 install --upgrade pydarnio

This new version will be the default version automatically installed on a new pyDARN installation.
A news article describing the last major release of pyDARN (Version 3.0) can be viewed at http://vt.superdarn.org/tiki-read_article.php?articleId=436(external link)
The DVWG is expecting a new release for pyDARN before the holidays with lots of new and improved features.

Read All SuperDARN News Articles.

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
A combined crew of SuperDARN PIs, research staff, and students visited the Blackstone site June 6 - 10. The goal was to prepare antenna poles and hardware for shipment to Iceland where they will be incorporated into the build of a new dual radar site at Pykkvibaer. The equipment has been stored at the Blackstone site for about ten years as a site was sought to complete the build of radars under the NSF Mid-Sized Infrastructure (MSI) program. The new radars will effectively replace the previous radars located at Stokkseyri and Pykkvibaer. Much woodworking and heavy lifting was required on this trip. The DC crew counted Simon Shepherd (PI) and undergrad Nathaniel Alden while the VT crew counted Mike Ruohoniemi (PI), Kevin Sterne, grad student Ian Kelley, and undergrad Mark Higgins. A second visit is planned to relocate the equipment stacks into shipping containers for delivery to a shipyard.

Read All SuperDARN Technical News Articles.


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