Published February 3, 2026 | Version 3.0

SuperDARN data in netCDF format (2010-Dec)

  • 1. JHU/APL

Description

2010-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

20101201.nc.zip

Files (6.6 GB)

Name Size
md5:d51fbd650151db118d4795e41026c8c9
173.0 MB Preview Download
md5:f30d360748103cfc9eccbe1f00403ec5
173.5 MB Preview Download
md5:2307ecebda9db587ed5039994a0e9cb1
196.3 MB Preview Download
md5:edc5fc6b51457d4aaddabf2d47ff079d
217.3 MB Preview Download
md5:2c9819a50349a55675be8abd0795bc57
191.7 MB Preview Download
md5:961e1c6af336970d98a1ed8930fc8a49
229.0 MB Preview Download
md5:768090089966ec83bd7ee0f0863a8e3d
224.0 MB Preview Download
md5:8d680334946c0252d2c884391e5dfe83
178.7 MB Preview Download
md5:d54953a8666e1b637d84c6e0c02a4099
197.6 MB Preview Download
md5:f14a86308f46dcc6db1f6de602027c25
188.5 MB Preview Download
md5:474c83cc8f40f784fa116665cfdad43a
211.2 MB Preview Download
md5:d90f8f521c1fb063d6eb9e19f9e4fff2
241.4 MB Preview Download
md5:66f7e67093cde157084942bb4081c499
269.0 MB Preview Download
md5:53bc73d4a7a910044fd17d967569861e
257.8 MB Preview Download
md5:69f2623f6936f4759f6d97a1bcd998b9
220.0 MB Preview Download
md5:799578bca74972f0ff3cd620c71c4dc8
195.1 MB Preview Download
md5:4fa915bbec1ac8c9b8072a20fcc072e2
216.6 MB Preview Download
md5:dea9cccd16b4908e935bfc6b8136893d
214.9 MB Preview Download
md5:cea1e0f1d314b9feb03e048aa8992fb8
210.1 MB Preview Download
md5:a5e2988fbab845d824a5f0b0b5957463
229.6 MB Preview Download
md5:7c766ef48e4093509e3e3eddedf0bd90
190.6 MB Preview Download
md5:967de1a253e91d7184525627555ba111
190.8 MB Preview Download
md5:a70ebbf398d97cc1483241092b2f58a9
222.8 MB Preview Download
md5:763877366e03fccf81e7de2f31c06e6f
236.5 MB Preview Download
md5:b0184df877d44a7487341b789913e08a
233.6 MB Preview Download
md5:eb676c45b07a7a56c5b9d291e0f8176c
196.5 MB Preview Download
md5:38394d43eb06da093426c051807acdb1
204.3 MB Preview Download
md5:1ff30bd5e5dffa9c641be88ea52591f1
221.9 MB Preview Download
md5:8bd4fac21b90a7c704084bc6b2c6c436
199.1 MB Preview Download
md5:c87b8204632e5ee8b60a6f9d2b4cf548
218.9 MB Preview Download
md5:637c31968cbe1bb08d463b886ea502a6
251.0 MB Preview Download

Additional details

Related works

Is derived from
Dataset: 10.20383/102.0452 (DOI)