Published January 31, 2026 | Version 3.0

SuperDARN data in netCDF format (2008-Aug)

  • 1. JHU/APL

Description

2008-Aug 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

20080801.nc.zip

Files (4.9 GB)

Name Size
md5:330bfcd47e2390e0db988d398d85c60f
170.7 MB Preview Download
md5:733f120c21e27d3396410c774596e025
193.0 MB Preview Download
md5:e0f182f2c5a04aa018271d84a8581dca
198.1 MB Preview Download
md5:c0988a0ae72ee3d231f8bd2869e2f5c3
161.7 MB Preview Download
md5:42bc3c7bd5ff44aff3560fd418cadbf0
157.5 MB Preview Download
md5:03f7c84427e6d53b1150c19144d82138
185.1 MB Preview Download
md5:9f1f156357a334b2273447f1c76b3b9e
168.4 MB Preview Download
md5:7c942ad8c6dd79b4d4cc08a884e4bf33
170.6 MB Preview Download
md5:dc38d51f7e1ab0a8745426923c7b46cd
169.8 MB Preview Download
md5:cc695d3b9f0a23fc1e362d1b5fbe290b
129.2 MB Preview Download
md5:d544cda40e8780afa6e785a03a51a387
125.2 MB Preview Download
md5:142fdf10a7b90457fd7ca0b07b812854
142.5 MB Preview Download
md5:55ff79b125dab2c326213f846eaf1146
126.0 MB Preview Download
md5:8b468faff2f1ae8135b8006cacb709a8
130.5 MB Preview Download
md5:22c3660ba733ad2ead92bb0feb12e0e9
134.1 MB Preview Download
md5:021efa81afdf78924114faaf2a20e1a1
156.4 MB Preview Download
md5:727a0a1115879f426f65ad8ec1c5d67d
179.2 MB Preview Download
md5:b0180c835b53a491496681d95359665a
127.0 MB Preview Download
md5:ca03c692d77a65f3b53420dae660c396
140.5 MB Preview Download
md5:51613c2cdafb0e0e502b7b211d1aefd3
121.3 MB Preview Download
md5:da3c033e0c5784d5a386ec9576176957
152.1 MB Preview Download
md5:1bd17a216c33c36b66803946af5f0714
138.1 MB Preview Download
md5:2fdc0c2af69ec099113d379a5c1121db
124.2 MB Preview Download
md5:991440ed344dc8fd6287b2dffcc2610a
148.7 MB Preview Download
md5:f33463b3b9192a9c314252477e93e1c3
188.0 MB Preview Download
md5:b870d0f9eb23504df3f26accea1d276f
169.9 MB Preview Download
md5:9fe7968b7f015fea7710f646a8c299b9
181.6 MB Preview Download
md5:f434af1e5492283e8c3bd4e9c23d2b1d
178.0 MB Preview Download
md5:86ea9d9eb0017e321eb2db14676f1824
186.9 MB Preview Download
md5:b642cc016c441c55db9adb78ac08a214
179.8 MB Preview Download
md5:a6baf4e7992bb1b532c7f1cad1fa48c0
195.9 MB Preview Download

Additional details

Related works

Is derived from
Dataset: 10.20383/102.0454 (DOI)