Published February 4, 2026 | Version 3.0
Dataset Open

SuperDARN data in netCDF format (2011-Dec)

  • 1. JHU/APL

Description

2011-Dec 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

20111201.nc.zip

Files (9.6 GB)

Name Size Download all
md5:5b1d69b6cf53edec97d88fe259748602
354.1 MB Preview Download
md5:d3d58e32ccc2e1236c34cb471f9f33df
347.7 MB Preview Download
md5:9e561adccd3e37a815be6cd0eeeecd18
422.5 MB Preview Download
md5:64984ad55a1a091362e05fca7ecacfcc
363.2 MB Preview Download
md5:3bad670fb07739c272ab85c92d05386d
278.7 MB Preview Download
md5:1ee4aeb461ea63c029bb67323aed5781
302.8 MB Preview Download
md5:4b5ab42469602afc75ffe453ca06f8ca
347.9 MB Preview Download
md5:cb7a6ecbcc1b4e891ef2e0b97154997c
309.1 MB Preview Download
md5:474fa96a82b8bc61f26a2def2e809951
328.8 MB Preview Download
md5:fcc012a490f4cdea2d4af848566811f0
298.7 MB Preview Download
md5:a6074188bcfe05b5066e9eb6f0e50f5e
309.9 MB Preview Download
md5:c2ce7d4337a1f420d90075c37182a685
329.0 MB Preview Download
md5:1b2a6d5927fd5e9de4ed5cc5da078854
327.8 MB Preview Download
md5:7c33ef09231111c2bf4887080872c606
311.9 MB Preview Download
md5:7f25db02b2a25b4ed4fa0b3c8a3f8849
320.2 MB Preview Download
md5:32251576e8460e64745fc1c27904e9d5
366.7 MB Preview Download
md5:d8a5e7251a58b1034b7c0409e8d78329
284.7 MB Preview Download
md5:fe179fefda2026778b8d2b35c4c04cc6
330.0 MB Preview Download
md5:640a10758fe5c6cae341e94c015ac55d
256.5 MB Preview Download
md5:b9fa8ae74e885fe9109f0b6da3519e42
246.4 MB Preview Download
md5:b133ca78827145118cb6e7b267d43892
218.8 MB Preview Download
md5:85d2aa67e4deae521d3248afbee49f8a
302.6 MB Preview Download
md5:c40f45dab34fd1b593bf03c7d3693e95
284.8 MB Preview Download
md5:5d8de7d8e813838693ac728f9e452427
267.3 MB Preview Download
md5:a18eb5faf25b12f5345b00718dcf22ac
228.0 MB Preview Download
md5:d5e24f88b1e331636fe2ad93a24e090e
147.3 MB Preview Download
md5:8abb9346a1259ed42c2c1ad26ae1a195
279.6 MB Preview Download
md5:8149a0a5b201facc34f75c6d3a548a78
336.7 MB Preview Download
md5:ff81c4f293003768965674ddac2d7b1c
369.1 MB Preview Download
md5:3270e0351cfc048f722adb8cb28c2b71
351.6 MB Preview Download
md5:711248db115b3745007b1a8209a0418b
332.2 MB Preview Download

Additional details

Related works

Is derived from
Dataset: 10.20383/102.0451 (DOI)