Published February 6, 2026 | Version 3.0

SuperDARN data in netCDF format (2015-Sep)

  • 1. JHU/APL

Description

2015-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

20150901.nc.zip

Files (12.3 GB)

Name Size
md5:635b4d9c41fc0d0299820c6abe034f2b
429.9 MB Preview Download
md5:88224920d696437e1d408023427fddd6
432.6 MB Preview Download
md5:8635ec857d9e84e73a2418ce5b4dc161
399.0 MB Preview Download
md5:100a6597287162d9926c0814c38cb05b
244.6 MB Preview Download
md5:b6d478e74a8d6af67f5684faa8c8636d
278.5 MB Preview Download
md5:8040bad737981ca009979c978cf99148
349.2 MB Preview Download
md5:44749d1161b3dbc979593abee305518e
344.9 MB Preview Download
md5:814fc7a47efae4f70c7b97b3c6b7fa96
351.5 MB Preview Download
md5:b6d25f77bf95387841bcdfe5250e755e
317.7 MB Preview Download
md5:a7bdb8447430cdbc527e5ba345b8365e
305.6 MB Preview Download
md5:bf630c467edfa9f687884b51a9677dfd
340.1 MB Preview Download
md5:f025c022e420c354aaaa3c312fa5f891
296.5 MB Preview Download
md5:27aec55b3d6907c00bde57d4cd8b8423
365.3 MB Preview Download
md5:a0e0fbf306a0a72cdbd01a67ad3fdca1
345.3 MB Preview Download
md5:0c5acc62f5f67581f2014d1ca0bdcb8c
340.0 MB Preview Download
md5:c8231f9ce03c78cf1b8b0e483976e5d3
350.0 MB Preview Download
md5:fc9e302379c9e04c163fce598444f1c8
363.7 MB Preview Download
md5:8dc6cccfda57615a5427408d10c92a94
326.6 MB Preview Download
md5:bf6adac7035ecef0fddd203fb5388590
329.3 MB Preview Download
md5:12571bc21bf76b3a094c02b796220336
323.2 MB Preview Download
md5:d3cea54f8e562b9c1cdbb67b787a7c5d
280.0 MB Preview Download
md5:fb08f0797180c498b8a7f69ed9fa7bac
454.0 MB Preview Download
md5:5c06beaad611c778730f44699b1192f6
500.9 MB Preview Download
md5:df84ec861b4e7f5387abf25af5ddb633
507.1 MB Preview Download
md5:ceb56aaee2ef2128a26704f563b5d264
567.0 MB Preview Download
md5:493964524349fd667638a7e1ec7f3c0d
617.0 MB Preview Download
md5:bbcfe798d798307460319b8aa2563fec
619.4 MB Preview Download
md5:e4ed281a05fb1f60aa61336aeef8c29c
593.4 MB Preview Download
md5:13c558db3949e9610dc61a92acc12c8c
597.0 MB Preview Download
md5:6f025169cd4f06fe3807ada587cc463a
683.3 MB Preview Download

Additional details

Related works

Is derived from
Dataset: 10.20383/102.0447 (DOI)