Published February 6, 2026 | Version 3.0
Dataset Open

SuperDARN data in netCDF format (2015-Oct)

  • 1. JHU/APL

Description

2015-Oct 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

20151001.nc.zip

Files (14.3 GB)

Name Size Download all
md5:9abd2805534dcd06a64e998dee26cebb
624.3 MB Preview Download
md5:b21a3e8a02ed2b65bf1a4bfd74223cd2
465.1 MB Preview Download
md5:17dc104f95e2690d42e3d6387d0c5cc5
395.8 MB Preview Download
md5:0fb07bd9b9753f572c33e2d85311d5b3
341.2 MB Preview Download
md5:5f266d6e20d9e77117344083d4c2821d
339.0 MB Preview Download
md5:6e77028e0673adf0e96b34c92a19b359
377.0 MB Preview Download
md5:875df003ad834b2d413a12999cf25686
296.7 MB Preview Download
md5:9390e7270874b26dcc7e1da59877ebc4
169.8 MB Preview Download
md5:5ee5880cb337751eb52a51455aaff439
250.2 MB Preview Download
md5:40cce38542ad3940f17e5cbf34ee58b9
275.9 MB Preview Download
md5:ee8f986e6eac0ae95eb565b1e0ab4c20
328.0 MB Preview Download
md5:d28f16c149c91489fa518d13606944f3
348.3 MB Preview Download
md5:1cf5e4f8189be9689c4e7fac4dad3c38
310.3 MB Preview Download
md5:d88d1db5f65b797f5cc25318ed647c66
324.5 MB Preview Download
md5:16dd6fe2aacf06e3e76df8dea6573940
362.7 MB Preview Download
md5:9d95f444a6dc0de8b1988621160c8989
460.2 MB Preview Download
md5:83c9f1cef2326cd1b88ba33251fddc10
529.1 MB Preview Download
md5:62b8ea7b7579b05282b3bee309ef4c09
477.7 MB Preview Download
md5:a776c848ecac20263ac4cf2615d966ac
492.6 MB Preview Download
md5:63b95ca27f7ebb2bbee2430e0a594c3e
588.3 MB Preview Download
md5:b0b3bd60cce4e1663decb7da15ef54ff
591.9 MB Preview Download
md5:bac1048aeaf9a64d158ed6d918923732
572.0 MB Preview Download
md5:300e63e610289172d58423d7fc7c5795
543.6 MB Preview Download
md5:2e09b0dfc3f0e0bddbf4d9f6e595eeff
596.5 MB Preview Download
md5:0986696b66cfdd6346b77f101666acb2
651.3 MB Preview Download
md5:731799a040e15e67a697edfc956c4b7e
637.7 MB Preview Download
md5:a67e1db5137f0eee5eac766a1237f555
632.3 MB Preview Download
md5:635fdb655ce7788d8e168c6360b6bb2a
554.7 MB Preview Download
md5:dc5b761b56dbd30da3416677ee41bcb5
575.5 MB Preview Download
md5:2126f48cb809962ee45bf303080dbe9d
581.2 MB Preview Download
md5:e6f0df0f15dac1b427876ffbb4da7a39
581.0 MB Preview Download

Additional details

Related works

Is derived from
Dataset: 10.20383/102.0447 (DOI)