SuperDARN 2022 SuperDARN Workshop, May 30 - June 3, to be hosted virtually by the NSSC, Chinese Academy of Sciences (CAS)
By: miker on: Wed., Apr. 27, 2022 05:00 PM EDT (2283 Reads)
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 ![]() 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 (1805 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 ![]() Any information on using pyDARN can be found in our documentation here: https://pydarn.readthedocs.io/en/main/ ![]() |
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 (1273 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
![]() 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 ![]() |
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 ![]() 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 ![]() 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 (3097 Reads)Release of Radar Software Toolkit, RST4.6 and How-to-Cite information
By: miker on: Wed., Aug. 04, 2021 11:21 AM EDT (3191 Reads)
On behalf of the SuperDARN Data Analysis Working Group, Co-chairs Emma Bland (UNIS) and Kevin Sterne (Virginia Tech) have announced a new minor release of the Radar Software Toolkit, RST4.6. The new release can be downloaded here: https://doi.org/10.5281/zenodo.5156752.
![]() Emma and Kevin say 'Many thanks to everyone who has contributed to the development and testing of this release!' To cite the software in publications: SuperDARN Data Analysis Working Group, Schmidt, M.T., Bland, E.C., Thomas, E.G., Burrell, A.G., Coco, I., Ponomarenko, P.V., Reimer, A.S., Sterne, K.T., & Walach, M.-T. (2021). SuperDARN Radar Software Toolkit (RST) (Version 4.6). Zenodo. https://doi.org/10.5281/zenodo.5156752 ![]() |