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(external link)
https://www.isee.nagoya-u.ac.jp/en/news/research-results/2022/20220714.html(external link)
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(external link)
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(external link)
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(external link)

For a synopsis of the SuperDARN Workshop, see 'Read More'

Major release of pyDARN software package announced by Data Visualization Working Group

By: miker  on: Thu., Apr. 21, 2022 04:49 PM EDT  (1389 Reads)
On behalf of the SuperDARN Data Visualization Working Group (DVWG) Carley Martin has announced the release of pyDARN v3.0.

In this release, we include the optional cartopy dependency for underlaid maps and convection maps in magnetic coordinates. Along with a number of other bug fixes and improvements.

To install:
pip3 install --upgrade pydarn​

Or you can download the zip on Zenodo: https://zenodo.org/record/6473574(external link)

Any information on using pyDARN can be found in our documentation here: https://pydarn.readthedocs.io/en/main/(external link)

SD Data Analysis Working Group Issues a minor release of the Radar Sofware Toolkit, RST 4.7

By: miker  on: Thu., Apr. 21, 2022 04:39 PM EDT  (901 Reads)
On behalf of the SuperDARN Data Analysis Working Group (DAWG), Co-chairs Emma Bland and Kevin Sterne have announced a minor release of the Radar Software Toolkit, RST 4.7. It is available for download from Zenodo: https://doi.org/10.5281/zenodo.6473603(external link)

Key updates in RST 4.7 include:
New routine to list the transmission frequency bands present in a fitacf file (find_freqband)
New functionality and documentation for the data simulator (make_sim)
Updated C and IDL code for reading the new hardware file format (Note: the old hardware file format is incompatible with RST 4.7. The new hardware files are included in this release)
Bug fixes that affected compilation on some systems
Bug fixes in various analysis and plotting routines

To cite the software in publications:
SuperDARN Data Analysis Working Group, Burrell, A.G., Thomas, E.G., Schmidt, M.T., Bland, E.C., Coco, I., Ponomarenko, P.V., Sterne, K.T., & Walach, M.-T. (2022). SuperDARN Radar Software Toolkit (RST) (Version 4.7). https://doi.org/10.5281/zenodo.6473603(external link)

Release of pyDARN Version 2.2 announced

By: miker  on: Thu., Oct. 28, 2021 04:23 PM EDT  (1963 Reads)
On behalf of the SuperDARN Data Visualization Working Group, Marina Schmidt of the University of Saskatchewan has announced the release of version 2.2 of pyDARN, a python library used for data visualization of SuperDARN data. It can be downloaded from pip via:

pip install pydarn
or upgrade if you already have it
pip install --upgrade pydarn
or Zenodo: https://zenodo.org/record/5605069(external link)

Please cite in any publications when using pyDARN.
The documentation for pyDARN includes tutorials for the new features: https://pydarn.readthedocs.io/en/main/index.html(external link)
For a description of the new features and additional information, click 'Read More'

First Paper in 'History of SuperDARN' series published

By: miker  on: Thu., Aug. 19, 2021 04:58 PM EDT  (2770 Reads)
SuperDARN founder Ray Greenwald has published the first of a planned 3-part series on the history of SuperDARN in the journal 'History of Geo- and Space Sciences'. The paper covers the pre-SuperDARN era from experiments using HF coherent radar in Alaska with Jean-Paul Villain through the construction of radars at Goose Bay, Schefferville, and Halley Station and the development of techniques critical to the development of SuperDARN. The article is available for download from the site 'SuperDARN+https://hgss.copernicus.org/articles/12/77/2021/'

Ray dedicated this history to the memory of three SuperDARN pioneers who made significant contributions that demonstrated the value of HF radar measurements of the ionosphere and magnetosphere, particularly at high latitudes. They are John C. Samson, Jean-Paul Villain, and A. David M. Walker.

Congratulations, Ray! We look forward to the next installment.

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