On behalf of the SuperDARN Data Analysis Working Group, Co-chairs Emma Bland (UNIS) and Kevin Sterne (Virginia Tech) have announced a new minor release of the Radar Software Toolkit, RST4.6. The new release can be downloaded here: https://doi.org/10.5281/zenodo.5156752. Users are encouraged to contact WG members if they have questions or find problems with the software. New contributions to the software are also most welcome. The WG can be contacted by opening an "issue" on Github (https://github.com/SuperDARN/rst/issues), or alternatively by email. For more information, click 'Read More'.
Emma and Kevin say 'Many thanks to everyone who has contributed to the development and testing of this release!'

To cite the software in publications: SuperDARN Data Analysis Working Group, Schmidt, M.T., Bland, E.C., Thomas, E.G., Burrell, A.G., Coco, I., Ponomarenko, P.V., Reimer, A.S., Sterne, K.T., & Walach, M.-T. (2021). SuperDARN Radar Software Toolkit (RST) (Version 4.6). Zenodo. https://doi.org/10.5281/zenodo.5156752

Marina Schmidt of the University of Saskatchewan SuperDARN group has announced the release of version 2.1 of pyDARN, a python library used for data visualization of SuperDARN data. It can be downloaded from Zenodo: https://zenodo.org/record/4958007
Via pip: pip3 install pydarn
Or upgrade: pip3 install --upgrade pydarn

The documentation for pyDARN has also been updated including tutorials for the new features: https://pydarn.readthedocs.io/en/main/index.html

For a description of the new features and additional information, click 'Read More'

Dr. Nishitani-san has informed co-authors and the wider SuperDARN community that the paper "Review of the accomplishments of mid-latitude Super Dual Auroral Radar Network (SuperDARN) HF radars" published in PEPS has been recognized as a most highly cited paper among those published between 1 January 2018 and 31 December 2019. Dr. Nishitani-san conceived the idea of writing a review paper as a collaborative exercise with members of the international SuperDARN community and organized two writing workshops with funding from the Joint Research Program of ISEE, Nagoya University (ISEE/CICR International Workshop). For more information about the award see 'Read More'. For a news summary of the workshops and publication of the paper with citation details click http://vt.superdarn.org/tiki-read_article.php?articleId=317
Link to ISEE news article showing Nishitani-san with award: https://www.isee.nagoya-u.ac.jp/en/news/award/2021/20210607.html

Congratulations to Nozomu and co-authors, and to all involved in making the mid-latitude SuperDARN radars a success!

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 https://www.sansa.org.za/superdarn-workshop-2021/. 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

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 . 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. http://doi.org/10.5281/zenodo.4435297

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 below (click 'Read More').

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