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: https://zenodo.org/record/7467337
![]() Installation instructions and RST tutorials are available in the documentation: https://radar-software-toolkit-rst.readthedocs.io/en/latest/ ![]() 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. https://doi.org/10.5281/zenodo.7467337 ![]() 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 (https://github.com/SuperDARN/rst/issues), 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).' |
Update on pyDARN: Frontiers Paper published and latest release of pyDARN software
By: miker on: Mon., Dec. 05, 2022 11:41 AM EST (255 Reads)
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 ![]() 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. |
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 ![]() The DVWG is expecting a new release for pyDARN before the holidays with lots of new and improved features. |
ISEE / Nagoya University announce paper published on SuperDARN observations of ionospheric disturbances due to Tonga Volcano explosion
By: miker on: Fri., July 22, 2022 04:39 PM EDT (858 Reads)
Dr. Atsuki Shinbori and colleagues at the Institute for Space-Earth Environmental Research (ISEE) at Nagoya University have published a paper in Earth, Planets, and Space (EPS) that uses data from the SuperDARN Hokkaido pair of radars to elucidate the physics of TIDs observed in TEC data following the 2022 Tonga volcanic eruption. It is shown that ionospheric effects reached the Japanese sector faster than atmospheric effects due to conjugacy. Here are links to press releases provided by the first author and coauthors including SuperDARN PI Dr. Nozomu Nishitani::
https://www.eurekalert.org/news-releases/958792 ![]() https://www.isee.nagoya-u.ac.jp/en/news/research-results/2022/20220714.html ![]() The potential significance of this finding for advance warning of disturbance in the coupled atmosphere-ocean system was picked up by the United Nations Office for Disaster Risk Reduction (UNDRR) and reported here: https://www.preventionweb.net/news/shockwave-caused-tonga-underwater-eruption-may-help-scientists-predict-future-tsunami ![]() Figure credit and citation: Shinbori, A., Otsuka, Y., Sori, T. et al. Electromagnetic conjugacy of ionospheric disturbances after the 2022 Hunga Tonga-Hunga Ha’apai volcanic eruption as seen in GNSS-TEC and SuperDARN Hokkaido pair of radars observations. Earth Planets Space 74, 106 (2022). https://doi.org/10.1186/s40623-022-01665-8 ![]() |
SuperDARN 2022 SuperDARN Workshop, May 30 - June 3, to be hosted virtually by the NSSC, Chinese Academy of Sciences (CAS)
By: miker on: Wed., Apr. 27, 2022 05:00 PM EDT (2134 Reads)
The PI of the NSSC SuperDARN group, Dr. Jiaojiao Zhang, has announced that the deadline for submission of items has been extended for the 2022 edition of the SuperDARN Workshop. The workshop will be hosted by the National Space Science Center (NSSC), Chinese Academy of Sciences (CAS). The format will be virtual. Dr. Zhang adds that the pre-recorded presentations will be available May 23-June 3 through the Pre-recorded Conference Entrance. Note that May 15, 2022 is the deadline for submission of your pre-recorded presentation as well as registration and abstract submission.
The conference web site is: https://superdarn2022.swl.ac.cn ![]() For a synopsis of the SuperDARN Workshop, see 'Read More' |