Published February 7, 2026 | Version 3.0
Dataset Open

SuperDARN data in netCDF format (2017-Apr)

  • 1. JHU/APL

Description

2017-Apr 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

20170401.nc.zip

Files (6.8 GB)

Name Size Download all
md5:4e991f77d58d209878163afafa86b096
166.8 MB Preview Download
md5:66e53c03b13863f63c15131595b3ce16
162.9 MB Preview Download
md5:ea9d785792295a0b245b997aa4bf38d5
228.5 MB Preview Download
md5:ddc2182425ecb6dfdd642b8d3e9f0a40
246.3 MB Preview Download
md5:0b6e85a56573f8a9e2c3350811093d0d
235.1 MB Preview Download
md5:13514363d8c9325c04f0f0f23e346d65
233.0 MB Preview Download
md5:d3e889c8ab2d9b9ff8dc7badb65d4cb2
276.8 MB Preview Download
md5:7ee0f1573d5be57a4faa065e658b7416
267.5 MB Preview Download
md5:e4e069d9e4fa2d07f2b493033d65242c
226.6 MB Preview Download
md5:909c475f1b145a0b014a57e69c20c449
216.9 MB Preview Download
md5:c93179aef0df1ad9f169cc30195dc4bd
252.0 MB Preview Download
md5:78c2ccf045d4779ca256205a4e3fc02e
229.6 MB Preview Download
md5:8005f6e7f7de3ce46df3ceb5b6589bf3
242.6 MB Preview Download
md5:3e4cdbf0d728127ca86cbc74bbdafa80
243.2 MB Preview Download
md5:7bb8effbb1c143f9163978af572c8782
215.1 MB Preview Download
md5:3418b3f29b5417351f981ac4d420a0b5
265.4 MB Preview Download
md5:37c905bb8f1938d04cac1cd4797e2c3e
288.0 MB Preview Download
md5:3004dd09285ef7fd48b0bf92651cf914
298.6 MB Preview Download
md5:b5117a64debb049e11925ebd3c00ca8c
271.4 MB Preview Download
md5:f4b755d4a97d60d931216281baa34314
204.6 MB Preview Download
md5:2fcee133ab9ce387a64d1f152f288ea4
234.0 MB Preview Download
md5:da302a3cbc6a45a8404800126c3411f9
222.5 MB Preview Download
md5:ec038b7734ea5fa121ddfb29169ca3d4
157.8 MB Preview Download
md5:956003c7afcca6ff7a3a6cddd32a6067
166.4 MB Preview Download
md5:e7f826cdd0b871c6689b5860daccbd60
148.2 MB Preview Download
md5:babfba766ff812b2102ba6b99ff02612
191.8 MB Preview Download
md5:41a4577dd9d18e81735abcdb2c6ed660
171.9 MB Preview Download
md5:f04ea4162d47644e2d3bd63e3aae5409
243.8 MB Preview Download
md5:ab017a9867f0594c23144f361ababae3
249.5 MB Preview Download
md5:aee82202a5345e026a4a0e1242f0e2f2
291.7 MB Preview Download

Additional details

Related works

Is derived from
Dataset: 10.20383/101.0289 (DOI)