As a general update, it's been a few years since the major revisions to our grid- and map-level processing software were complete. These revisions date back to RST 4.0 (as of this writing, RST is at version 4.3.1) with the new files being named grid2 and map2 so that previous files could be maintained for data reproducibility. A number of other data issues were being sorted out and processed, including the expansion of the VT data storage systems, that delayed a mass processing of the new files. However with a break in some activities, grid2 and map2 files have now been generated back to the start of the modern dmap file format on July 1, 2006.

As always, for a listing of what files we have for certain dates please visit our Data Inventory page.

Marina Schmidt of the University of Saskatchewan SuperDARN group has announced the official release of pyDARN. In her words
'pyDARN is a python library used for data visualization of SuperDARN data.
Currently, it can:
- read and write SuperDARN DMap files
- read, write and convert Borealis hdf5 files
- range-time parameter plots
- summary plots
Thank you for all the support and help from the community.'

For directions on how to install and use pyDARN, clock 'Read More'

Virginia Space Grant Consortium (VSGC) provides STEM (Science, Technology, Engineering, and Mathematics) Bridge Scholarships of $1,000 to students who will be sophomores during the 2020-2021 academic year. Students from any federally recognized minority group in STEM and enrolled full-time in a program of STEM at one of the five Virginia Space Grant member universities are strongly encouraged to apply.

Click the attached link for more information and the online application. http://vsgc.odu.edu/stembridge/

Deadline for students to apply is extended to April 13, 2020

Following consultations with the organizers of the 2020 Workshop in South Africa (Drs. Michael Kosch and Judy Stephenson) and the SuperDARN PIs, the Chair of the SuperDARN Executive Council, Dr. Kathryn McWilliams, has announced that the SuperDARN Workshop is postponed until next year due to the Covid-19 pandemic.
See the conference website for more information.
Conference web site: https://superdarn2019.ukzn.ac.za.

Any enquiries, please contact Judy at .

Photo credit: Conference web site (Drakensberg cathedral peaks with aloes)

The 2020 ISR Summer School will be held July 27 - August 1 in Lowell, Massachusetts. The school provides students with hands-on experience in designing and running experiments at incoherent scatter radar (ISR) facilities. During this summer school, students will have the opportunity to run experiments with the Millstone Hill incoherent scatter radar and use data from multiple ISR observatories, such as Poker Flat (PFISR), Arecibo, and Jicamarca. The ISR summer school is suitable for graduate and advanced undergraduate students and attendance is limited. For most students attending institutions within the United States, travel, housing and meals will be provided. For post-docs and students outside of the United States, funding will be considered on a case-by-case basis. All students who wish to apply for the ISR summer school must follow the application instructions at the summer school web site: https://amisr.com/school
The deadline (exte3nded) for application submission is March 13, 2020.
Notice of acceptance will be sent to participants by March 27, 2020.

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!