Release of pyDARN Version 1.0 announced

By: miker  on: Fri., Mar. 27, 2020 10:29 AM EDT  (62 Reads)
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'

***SuperDARN Workshop 2020 POSTPONED to 2021***

By: miker  on: Tue., Mar. 17, 2020 08:27 AM EDT  (384 Reads)
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.(external link)

Any enquiries, please contact Judy at .

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

Dome C North radar now contributing to SuperDARN data flow

By: miker  on: Tue., Mar. 03, 2020 01:57 PM EST  (228 Reads)
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)

Update to AACGM-v2 model now available from Dartmouth College

By: miker  on: Wed., Jan. 22, 2020 03:58 PM EST  (418 Reads)
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(external link)

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.'

SuperDARN dissertation and thesis library now available

By: miker  on: Mon., Nov. 04, 2019 12:44 PM EST  (558 Reads)
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(external link)

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.'
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