On behalf of co-Chair Emma Bland (UNIS) and the SuperDARN Data Analysia Working Group (DAWG), co-Chair Kevin Sterne (VT) has announced that the latest version of the Radar Software Toolkit (RST) has been released. This is a comprehensive package of software for processing and analyzing SuperDARN radar data. The previous release, version 4.2, occurred a little over a year ago. In Kevin's words: 'You can download..by pulling from the repository's master branch or by downloading one of these files:
https://github.com/SuperDARN/rst/archive/v4.3.zip
https://github.com/SuperDARN/rst/archive/v4.3.tar.gz '
Notes on the release are available via the repository's release page and are copied to the 'Read More' section of this announcement.

Note that a new DOI entry has been created with this release. The software package can be cited with:

Evan Thomas, Kevin Sterne, Simon Shepherd, kkotyk, Marina Schmidt, pasha-ponomarenko, … Michal Krzysztofowicz. (2019, September 6). SuperDARN/rst: RST 4.3 (Version v4.3). Zenodo. http://doi.org/10.5281/zenodo.3401622

The American Geophysical Union (AGU) announced the 2019 Section awardees on July 31, 2019. Dr. Evan Thomas has won the Basu United States Early Career Award for Research in Sun-Earth Science from the Space Physics and Aeronomy Section. Evan is a 2016 doctoral graduate from the VT SuperDARN Group (advised by Jo Baker and Mike Ruohoniemi) and a past awardee of a NSF postdoctoral research fellowship (performed at Dartmouth College under Dr. Simon Shepherd). He is now research faculty at Dartmouth College and is very active across the SuperDARN collaboration.

The citation for the award reads: 'For significant work that shows the focus and promise of making outstanding contributions to research in Sun-Earth systems science that further the understanding of both plasma physical processes and their applications for the benefit of society.'

Congratulations, Evan!

PhD candidate Muhammad Rafiq won 2nd place in the MLT Student Poster prize competition held during the CEDAR 2019 Workshop in Santa Fe, June 17-21, 2019. The bibliographic details of his poster were: 'Maimaiti, M., B. Kunduri, J.M. Ruohoniemi, J.B. H. Baker, DATA04 - A Deep Learning Based Approach to Predict the Onset of Magnetic Substorms'. The competition was fierce as a total of 51 posters were entered for judging in the MLT category. Former VT SuperDARN graduate students also took away prizes - Mr. Pratik Joshi at University of Illinois (IT, 2nd place) and Ms. Garima Malhotra at University of Michigan (MLT, Honorable mention). Virginia Tech was especially well represented this year with at least six poster presentations by early-career researchers (see 'Read More').

Congratulations to Muhammad and all the prize winners!

(Photo credit: Astrid Maute)

VT student and SuperDARN intern Ian Kelley is participating in the 2019 Greenland Climate and Space Science Research for Undergraduates program. He has reached Summit Station, located at the highest point on the Greenland ice sheet, 10,530 ft above sea level. He arrived in Greenland on a C-130 flight that landed in Kangerlussaq. Virginia Tech professor Bob Clauer is one of the program mentors (look for the grey beard). The purpose of the program is to enable research experiences in mapping climatic conditions for students from Hampton University, University of Albany, University of Michigan, and Virginia Tech. For more information see the VT News item http://vt.superdarn.org/tiki-read_article.php?articleId=312.

Prior to the SuperDARN 2019 workshop held in Fujiyoshida, Japan during the first week of June, 2019, Dr. Mark Lester of Leicester University had indicated his intention to step down as Chair of the SuperDARN Executive Council. During PI discussions at the workshop it was decided to replace Dr. Lester with a new Chair and two Vice Chairs. The new Chair is Prof. Kathryn McWilliams of the University of Saskatchewan and the Vice Chairs are Prof. Nozomu Nishitani of ISEE / Nagoya University and Dr. Aurélie Marchaudon of IRAP/CNRS/IPEV.

Mark thanks all members of the SuperDARN community for their help and support and states that it was his privilege to have been the lead PI over the last 15 years.

Congratulations to Kathryn, Nozomu, and Aurélie!

Pictured: Prof. Kathryn McWilliams at the SuperDARN Workshop 2019 (Fujiyoshida, Japan)

Photo credit: SD2019 General Organizing Committee

VT SuperDARN student Muhammad Rafiq successfully presented his Project and Report in support of earning a Master of Arts Degree in the Department of Statistics on May 2, 2019. The title of his presentation was 'Deep Learning Application to Predicting Onset of Magnetic Substorms'. The background to this unusual accomplishment is a special degree program at Virginia Tech that enables graduate students to take courses and earn degree credit in Machine Learning (ML) techniques. Muhammad was advised on the Statistics side by Dr. Leanna L. House and has worked most closely with Dr. Bharat Kunduri on applying ML techniques to the analysis of geospace datasets. Muhammad is simultaneously a PhD candidate in the Department of Electrical and Computer Engineering and has several radar-derived papers to his credit.

Congratulations, Muhammad!

(Photo credit: Dilraba Abla)