Published January 25, 2026 | Version 3.0
Dataset Open

SuperDARN data in netCDF format (2004-Jun)

  • 1. JHU/APL

Description

2004-Jun 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

20040601.nc.zip

Files (2.9 GB)

Name Size Download all
md5:34491001d86e7586c5abdde3990164de
54.3 MB Preview Download
md5:9df4e6504684d5d2c3aaa6520687e46c
64.5 MB Preview Download
md5:c0d5d9fe519834a2568a8839b134b988
103.7 MB Preview Download
md5:f187c4e69041206820a390d04b9c7d19
83.1 MB Preview Download
md5:70fa71c02a660ace45d77c62ca6db310
77.4 MB Preview Download
md5:d51b2865a251c4857d809ad4696b637f
67.4 MB Preview Download
md5:802b4e62ea3b71989635c53526ef7d38
77.8 MB Preview Download
md5:5d480403af2b4847c56730b573ca82fa
58.4 MB Preview Download
md5:5adce356f8e12145c7f01f10db933e17
50.9 MB Preview Download
md5:cc763c9e2fff66203d9ddf78d2df06be
67.8 MB Preview Download
md5:8ba597c5582e1014bc06bc725928f471
68.6 MB Preview Download
md5:dbce4efd44121446accdfb0b16f1efd3
71.5 MB Preview Download
md5:dd012604db972f4aaebdbb7d53cd8f58
145.1 MB Preview Download
md5:c6d54a2f4079bc112c2d6a15c6f28e61
126.8 MB Preview Download
md5:8d45fcedc16f327557e4e83caa3d6916
114.9 MB Preview Download
md5:e742e66f0d47312e0eb9119b655b6141
107.8 MB Preview Download
md5:cc7dfbc6f4460da9b86f7e0752c155d9
126.8 MB Preview Download
md5:951f374f2683538b4895cae6ca711d5e
128.4 MB Preview Download
md5:44eaf650782ced5e1d9b262116484720
130.4 MB Preview Download
md5:c29e3ed3a62c34501887347c753a5d04
126.3 MB Preview Download
md5:642498a793d6ea0fd8353cc98543ae28
86.4 MB Preview Download
md5:f501b251b227f8399f1579542589e485
164.9 MB Preview Download
md5:1797c68cb2fa1f10d1cd6e4606abe6ec
171.3 MB Preview Download
md5:f1b35ba4c274e648a255e7fbf7d948ae
87.2 MB Preview Download
md5:f10c2dfc7b5d7fa149e1abf634f4a132
97.6 MB Preview Download
md5:f8b43235b0a3b078a7e022b4ff4fd639
80.7 MB Preview Download
md5:7b85662c7deb635a7c3994ab14bd8d88
76.4 MB Preview Download
md5:195241241bba8162d2e8068df4f9dbef
69.3 MB Preview Download
md5:5aea20066c4744dd27c3e24c36accd1e
99.0 MB Preview Download
md5:1d6c7769ea3c7cc597849e70edbe24b3
83.9 MB Preview Download

Additional details

Related works

Is derived from
Dataset: 10.20383/102.0460 (DOI)