Published February 5, 2026 | Version 3.0
Dataset Open

SuperDARN data in netCDF format (2013-Sep)

  • 1. JHU/APL

Description

2013-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

20130901.nc.zip

Files (13.7 GB)

Name Size Download all
md5:bf42d368adee0422dd679a576107d300
332.4 MB Preview Download
md5:e277d6cc439080feaf7d07ffb949ddcc
305.6 MB Preview Download
md5:98ece4c777f254cc9bdf0b9c29994129
381.6 MB Preview Download
md5:2d0c3f2385361a86a459fee051f861e4
410.6 MB Preview Download
md5:3de7e31aada1c7b84e86b5853cc29f84
467.5 MB Preview Download
md5:41879fcfc648d9ee9a3a1332aeffa53f
455.5 MB Preview Download
md5:8a116d9af312a426f0bb71a339c03066
431.4 MB Preview Download
md5:7f268d7eaa37ea6ab15b648bd075f5b9
448.6 MB Preview Download
md5:989e17e663e45bad3b333a644afe664b
437.8 MB Preview Download
md5:38ea754f5650c9e66c215f1910c986b1
482.3 MB Preview Download
md5:79848140303b36cc81e4b23a23f59687
485.3 MB Preview Download
md5:a381ec51b8bff3b596f58415ae6edef6
498.3 MB Preview Download
md5:e4637c255a845626b75f3334a56adf5a
458.9 MB Preview Download
md5:8f60afafac87dbcd937e689c05943112
440.5 MB Preview Download
md5:aa050b190eba9661505ecf9535062475
437.2 MB Preview Download
md5:2b7632af8bafdde4a6f96eb33a8261bf
473.8 MB Preview Download
md5:37f34a60264899eb6059bc7bdd0e0ca1
475.8 MB Preview Download
md5:328a30faccde4ee0f24a4e30684fb332
445.5 MB Preview Download
md5:e1bb532d9319a4cdf154c76952863b3d
425.6 MB Preview Download
md5:79aae3fee0b4933cc29cfb5cb7433f7f
408.9 MB Preview Download
md5:8183c96e1a76da7e013e93d7a9147046
441.0 MB Preview Download
md5:0b611c9732509109f4a3168fd5ee1320
456.0 MB Preview Download
md5:f09681351d219e1f66d55e0407170d84
511.3 MB Preview Download
md5:1add40e69279f8b72db2b4ad44154b32
512.0 MB Preview Download
md5:72e90373753f9a8520b8f67db8f9d3dc
476.9 MB Preview Download
md5:b7c96ad46de3a40c964816d9fd5989db
553.9 MB Preview Download
md5:7bc7a63e49e1d2f4ede82d2d827008de
533.6 MB Preview Download
md5:c92abdbc83859eb85b32665ef645b76c
507.2 MB Preview Download
md5:72339467b1db3bb3fd5fadbab42f7fa8
526.0 MB Preview Download
md5:dd222d317ccaa4f8af82e12f5e3db012
431.4 MB Preview Download

Additional details

Related works

Is derived from
Dataset: 10.20383/102.0449 (DOI)