Published February 1, 2026 | Version 3.0

SuperDARN data in netCDF format (2010-May)

  • 1. JHU/APL

Description

2010-May 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

20100501.nc.zip

Files (7.8 GB)

Name Size
md5:7211eb76db58e6caf1f895a706d61b15
274.8 MB Preview Download
md5:36c3e6e26dedc29eb04eb3b46518f6f3
302.9 MB Preview Download
md5:48288b9f3f8932d332844fb79f100594
187.0 MB Preview Download
md5:1f20abb70313f08cd928ed8fe2d0d2cf
188.8 MB Preview Download
md5:3dff980d71afd7f41699ab605d42bc3e
217.2 MB Preview Download
md5:19972a0e9d626a3f7b33161e1837b8fa
190.3 MB Preview Download
md5:34b16f3e8b9e64a120614d8268896602
237.2 MB Preview Download
md5:f97e3f0ed1f50670167d8d5365d9847d
203.2 MB Preview Download
md5:a9999a758ed850bf25e176a923ba1f5d
258.8 MB Preview Download
md5:296bde34fcf359c9536eea979428b0d3
282.6 MB Preview Download
md5:c9c621e36728beb389728dd17eccd776
315.3 MB Preview Download
md5:ca2ac10ab5c6a7acd65de7e1bc45f5e9
274.9 MB Preview Download
md5:16c21dadc0131b97dfc7c5f84dff1eb1
216.1 MB Preview Download
md5:04a6d9e79458dc19523aa490ca791044
240.7 MB Preview Download
md5:cef27de11ae8f5282be1f994b96f76fa
222.4 MB Preview Download
md5:8b0b57b97fd366ccb853df238334351f
294.1 MB Preview Download
md5:c8690b548f775735aa6eff4d32e54011
248.8 MB Preview Download
md5:bbaa1dc8f58d09155c51ce9b23ee07c2
227.9 MB Preview Download
md5:cfbb7300a24ab05f11ea217918b6ca07
294.1 MB Preview Download
md5:0f6beecaafe65e781f48de57902eba4a
240.7 MB Preview Download
md5:b212cb1c80beb2182725efc02c378bb9
225.4 MB Preview Download
md5:24581eb824d609083360a4199a57eb72
256.8 MB Preview Download
md5:60c069a6d18d11d0f3436b575541725a
289.3 MB Preview Download
md5:b96896b6bb7be74f31b9eaea9ef86de1
319.0 MB Preview Download
md5:62117d5fe5410673fb79ab49c882725a
292.4 MB Preview Download
md5:b706d3333aa0336dfbe6784970bc2930
315.7 MB Preview Download
md5:8a0d86ee6fbab3d8741c03bfe81ec316
277.9 MB Preview Download
md5:cb559d340410d19f36c534b73344be23
308.7 MB Preview Download
md5:f80a44f943d651993d68eb8c86873b43
212.8 MB Preview Download
md5:606a78f43e035e8e668a3669f978bd79
168.3 MB Preview Download
md5:9d347761f54933bec9d6e4ed04af4e08
168.9 MB Preview Download

Additional details

Related works

Is derived from
Dataset: 10.20383/102.0452 (DOI)