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Dataset for journal paper "Fine-scale electric fields and Joule heating from observations of the Aurora"

Dataset for journal paper "Fine-scale electric fields and Joule heating from observations of the Aurora"
Dataset for journal paper "Fine-scale electric fields and Joule heating from observations of the Aurora"
To be published in the Journal of Geophysical Research: Space Physics In article "Fine-scale electric fields and Joule heating from observations of the Aurora" we have combined Southampton led Auroral Structure and Kinetics (ASK) instrument with careful modeling to obtain high resolution electric fields associated with small-scale auroral features. We have combined our measurements with Scanning Doppler Imager (SCANDI) to obtain Joule heating estimates and compare them with more commonly used averaged SuperDARN measurements. Our results show that observation of small-scale Joule heating gives much higher values than the one obtained from averaged radar data. Dataset used in the article is available at: https://doi.org/10.5258/SOTON/D2501. Dataset consist of 3 files: ASK.zip, SuperDARN.zip, SCANDI.zip. ASK.zip has 3 folders: ASK1, ASK2 and ASK3. Each folder contains the files from separate ASK camera as explained in the paper. Data are stored in .txt files each labeled with the timestep. Each .txt file contains 256x256 matrix with pixel values obtained during given timestep. SCANDI.zip contains a .xlsx file with all the measurements from a single measurement sweep needed to obtain neutral wind velocity data presented in the paper. SuperDARN.zip contains the typical SuperDARN toolkit .grdmap and .map data types.
University of Southampton
Krcelic, Patrik
64b03256-a7df-4fb1-921a-4c845bba617a
Fear, Robert
8755b9ed-c7dc-4cbb-ac9b-56235a0431ab
Whiter, Daniel
9a30d7b6-ea41-44fb-bd52-3ff1964eca5c
Lanchester, Betty
e864533e-eea0-471f-a3f9-7c70c25be55b
Aruliah, Anasuya
e1795881-26ef-4fbb-b810-f700f3b7dded
Lester, Mark
a6e8f6c8-5112-4837-8609-d8b9fe1f1692
Paxton, Larry
74fc06ff-6a71-4291-9fd0-33821ce5d27b
Krcelic, Patrik
64b03256-a7df-4fb1-921a-4c845bba617a
Fear, Robert
8755b9ed-c7dc-4cbb-ac9b-56235a0431ab
Whiter, Daniel
9a30d7b6-ea41-44fb-bd52-3ff1964eca5c
Lanchester, Betty
e864533e-eea0-471f-a3f9-7c70c25be55b
Aruliah, Anasuya
e1795881-26ef-4fbb-b810-f700f3b7dded
Lester, Mark
a6e8f6c8-5112-4837-8609-d8b9fe1f1692
Paxton, Larry
74fc06ff-6a71-4291-9fd0-33821ce5d27b

Krcelic, Patrik (2023) Dataset for journal paper "Fine-scale electric fields and Joule heating from observations of the Aurora". University of Southampton doi:10.5258/SOTON/D2501 [Dataset]

Record type: Dataset

Abstract

To be published in the Journal of Geophysical Research: Space Physics In article "Fine-scale electric fields and Joule heating from observations of the Aurora" we have combined Southampton led Auroral Structure and Kinetics (ASK) instrument with careful modeling to obtain high resolution electric fields associated with small-scale auroral features. We have combined our measurements with Scanning Doppler Imager (SCANDI) to obtain Joule heating estimates and compare them with more commonly used averaged SuperDARN measurements. Our results show that observation of small-scale Joule heating gives much higher values than the one obtained from averaged radar data. Dataset used in the article is available at: https://doi.org/10.5258/SOTON/D2501. Dataset consist of 3 files: ASK.zip, SuperDARN.zip, SCANDI.zip. ASK.zip has 3 folders: ASK1, ASK2 and ASK3. Each folder contains the files from separate ASK camera as explained in the paper. Data are stored in .txt files each labeled with the timestep. Each .txt file contains 256x256 matrix with pixel values obtained during given timestep. SCANDI.zip contains a .xlsx file with all the measurements from a single measurement sweep needed to obtain neutral wind velocity data presented in the paper. SuperDARN.zip contains the typical SuperDARN toolkit .grdmap and .map data types.

Archive
ASK.zip - Dataset
Available under License Creative Commons Attribution.
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Archive
SuperDARN.zip - Dataset
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Archive
SCANDI.zip - Dataset
Available under License Creative Commons Attribution.
Download (1MB)
Text
readme.txt - Dataset
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More information

Published date: 10 January 2023

Identifiers

Local EPrints ID: 473293
URI: http://eprints.soton.ac.uk/id/eprint/473293
PURE UUID: ba48f26e-37b1-4031-a604-96885eab3a40
ORCID for Robert Fear: ORCID iD orcid.org/0000-0003-0589-7147
ORCID for Daniel Whiter: ORCID iD orcid.org/0000-0001-7130-232X

Catalogue record

Date deposited: 13 Jan 2023 17:51
Last modified: 06 Jun 2024 01:53

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Contributors

Creator: Patrik Krcelic
Contributor: Robert Fear ORCID iD
Contributor: Daniel Whiter ORCID iD
Contributor: Betty Lanchester
Contributor: Anasuya Aruliah
Contributor: Mark Lester
Contributor: Larry Paxton

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