Dr. Federica Marcucci of the Istituto di Astrofisica e Planetologia Spaziali (IAPS), part of the National Institute for Astrophysics (INAF), has announced that the SuperDARN Dome C North (DCN) radar located at Franco-Italian base Concordia, at Dome C (Antarctica), is now contributing data to the SuperDARN data flow. This radar joins the Dome C East (DCE) radar in making Dome C a dual radar site. The starting date for data availability is January 29, 2019. Federica advises that '..from now on Enrico Simeoli of the Italian National Research Council ICT Dep., will take care of DCE and DCN data distribution and you can consider him as the contact person for every topic regarding data accessibility and availability.'

Congratulations to Federica and her radar team!

The PI for the new HF radar located at Jiamusi, Dr. Jiaojiao Zhang of the National Space Science Center, Chinese Academy of Sciences, has been working with the SuperDARN Data Distribution Working Group (DDWG) to begin contributing data to the general distribution. The radar site is located in northeastern China (46.8 deg N, 130.5 deg E; 41.8 deg N in AACGM) and first observations were reported by Zhang et al. 2020. Data from the radar will be available from June 25, 2019. The name of the associated hdw.dat file is hdw.dat.jme and the listing name for the radar is "Jiamusi East".
Congratulations to Dr. Zhang and her radar team!
Photo: Side view of the main array of the Jiamusi radar (Photo credit: Jiaojiao Zhang)

Simon Shepherd has announced that the Altitude Adjusted Corrected Geomagnetic Coordinates (AACGM-v2) model, originally developed to compare conjugacy of data from SuperDARN radars in the northern and southern hemispheres Baker and Wing, 1989, has been updated. In his words:

'With the recent release of the 13th generation International Geomagnetic Reference Field (IGRF-13) (https://www.ngdc.noaa.gov/IAGA/vmod/igrf.html) an update to AACGM-v2 is now available at http://superdarn.thayer.dartmouth.edu/aacgm.html

The update includes new AACGM-v2 coefficients that extend the date range to 2025 and small changes to the software to accommodate the new date range and coefficient files.

Note that small differences in the IGRF-13 coefficients will cause corresponding small changes in AACGM-v2 coordinates derived using the new model for dates beginning in 2010.'

With the help of SuperDARN collaborators, Dr. Evan Thomas at Dartmouth College has rebuilt the list of student products that have drawn on or benefited from SuperDARN research activities. The list contains nearly 200 items and is sorted by author and year. Evan has posted the list to a publicly available Github repository: https://github.com/SuperDARN/theses_dissertations

The repository includes a few sample C programs to demonstrate parsing the thesis/dissertation text file and building html for displaying on a webpage.

In Evan's words: 'Thank you again to everyone who has contributed and please help me keep this resource up-to-date as your current and future students complete their degree programs.'

October 31, 2019: Kevin Sterne notified the SuperDARN collaboration that the hard drive capability of the VT SuperDARN server is being expanded. In his words: '..for the next few days, data from 2019 may be limited via the VT website. My apologies for this inconvenience, but it comes with the advantage of being able to store many more years of data.For any immediate needs, you can e-mail me off list at .'

Notes on current VT Server:
We have a JetStor RAID 6 array by ACNC (http://www.acnc.com/) with 24 4 TB harddrives attached to a computer running Ubuntu 12.04 Server Linux. Because of the way RAID 6 and file systems work, this effectively gives us 77 TB worth of storage. The RAID array looks like a giant hard drive to our server.

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