Published February 8, 2026 | Version 3.0
Dataset Open

SuperDARN data in netCDF format (2019-Sep)

  • 1. JHU/APL

Description

2019-Sep 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

20190901.nc.zip

Files (6.0 GB)

Name Size Download all
md5:85623d6a822214d9a19f7cb6519e0129
146.6 MB Preview Download
md5:022e287a2bdd971cdf959e1e7d6528cb
151.4 MB Preview Download
md5:7617f355e0b7024ae7c9b500c06d92f6
169.4 MB Preview Download
md5:bea27b469e54e30842fdc60dfbd48c6a
181.6 MB Preview Download
md5:ca03aad7d03a325b50667706c62d573b
184.4 MB Preview Download
md5:45d5acbb177107bb2a2d62353112373b
178.6 MB Preview Download
md5:7efcbb2ec43782d08e12152fc69dbfea
175.9 MB Preview Download
md5:15badf4ade54fc266ffb181264c05c41
186.0 MB Preview Download
md5:9fee851e71749d1655caf21cf603bad7
161.2 MB Preview Download
md5:e95b27792e89d4fb1894a81f9093fc21
167.4 MB Preview Download
md5:bb1d83fe65bd3fecc009080b0b98495d
189.5 MB Preview Download
md5:08200e3c544325899137345bc17123a5
216.6 MB Preview Download
md5:b2a457a839fc9de0e33f626b4c0c493f
223.9 MB Preview Download
md5:c9aa20680b11efc15ef59efe1503a778
248.3 MB Preview Download
md5:916c80a517fb9c6363ef8808a8272b03
247.1 MB Preview Download
md5:87d1dce2d33d3de4ad77e0e98ae6fa50
198.6 MB Preview Download
md5:84fd4c9f40a21d007ad71b8e1f7ba7fe
241.6 MB Preview Download
md5:36e10e296af1625c262e71f92abfdfac
172.4 MB Preview Download
md5:17f81e62b6de452e3ce9899477fbf4c1
211.9 MB Preview Download
md5:6ba864485df4853b1108a472fa31c0e2
227.3 MB Preview Download
md5:ea04fe6e92ed2b378ffd0d4e9d72c2f8
221.6 MB Preview Download
md5:06e7514068da5ec55dbfbb1978bab414
226.7 MB Preview Download
md5:3b45532965b80b50848074f0c0308612
223.8 MB Preview Download
md5:0d04ed1ccc05de4f680a5ec2aa094523
181.9 MB Preview Download
md5:3e52ef30c84b761deb2a0437b0c952f7
205.3 MB Preview Download
md5:24188d61a29326e69ed633575e575f40
241.9 MB Preview Download
md5:d452f0900f573ac41eb644d074d9d71b
229.7 MB Preview Download
md5:29eae616bfed5869d69588a876a1006f
189.6 MB Preview Download
md5:d1a255490dab4a53f7cfd0f748faf497
206.1 MB Preview Download
md5:0e343a404884bc68ac59ff5fe34f182f
189.0 MB Preview Download

Additional details

Related works

Is derived from
Dataset: 10.20383/102.0558 (DOI)