Published February 7, 2026 | Version 3.0
Dataset Open

SuperDARN data in netCDF format (2017-Feb)

  • 1. JHU/APL

Description

2017-Feb SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.

The RST is available here: https://github.com/SuperDARN/rst

The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.

Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)

Recommended form of acknowledgement for the use of SuperDARN data:

'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'

Files

20170201.nc.zip

Files (7.9 GB)

Name Size Download all
md5:2a9462b7d4dbd2a79dd0f838a54b58af
239.0 MB Preview Download
md5:45586550671085c7e9d7f29e33e5aafa
236.7 MB Preview Download
md5:a19991c155ed2e97c46c6c1cd3fb956a
201.7 MB Preview Download
md5:cc7755d38769dafe6add0b9b198690d6
198.5 MB Preview Download
md5:66e5266f5a32812f4415b76979608a18
213.6 MB Preview Download
md5:e174d7c658be8a4aac24afeb6b542cbd
245.1 MB Preview Download
md5:dc2eac49943d553e4e555d4286378da5
275.8 MB Preview Download
md5:3320d4297578ca7d80ea5c3c8c762020
253.6 MB Preview Download
md5:7d696e6fca5528d38d91b7c506f743cc
302.6 MB Preview Download
md5:359e9ba7a7ff85ee1944b5747386bfa7
296.9 MB Preview Download
md5:de428fedde7758b81f4e7430d9262f9e
329.6 MB Preview Download
md5:01b1d2dd93f09ca0aa6e48a5fa83179a
289.4 MB Preview Download
md5:b5300d06d093457431e5bed65c853980
354.5 MB Preview Download
md5:4a2e10c8c56f64614f3f0319272e7080
315.0 MB Preview Download
md5:db14e23f12db772bda47842b3d1c187d
388.3 MB Preview Download
md5:f9c0e1f56688bf1211ec7e20ae9f767f
339.4 MB Preview Download
md5:d39a617d0d28a920889c091c47799b95
286.0 MB Preview Download
md5:7613bc5a352087e35d0bcdf68440c469
278.9 MB Preview Download
md5:b367a91f93d589528b049947810079e3
288.6 MB Preview Download
md5:b3701218ac25a4663b224c79c584e11f
294.3 MB Preview Download
md5:f34ca5f0eabdc1aff67a89a3ecea3f54
275.6 MB Preview Download
md5:93edaad10009976b62cbc8d64b1553dc
235.0 MB Preview Download
md5:b7a6f40799398abc5b5c71d52e203501
204.0 MB Preview Download
md5:0368c322327567ce993458b965bffe4a
283.9 MB Preview Download
md5:b67b07816261796a9e08de302f849374
274.0 MB Preview Download
md5:7bc3e689e44dd17c01fede62bfc0ada8
290.0 MB Preview Download
md5:3d8188adbf02a08911745f4f070c55fe
359.5 MB Preview Download
md5:d176e244ae5d1ed2d1e1c8df410c7e9b
350.4 MB Preview Download

Additional details

Related works

Is derived from
Dataset: 10.20383/101.0289 (DOI)