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An Improved Estimation of SuperDARN Heppner-Maynard Boundaries Using AMPERE Data

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journal contribution
posted on 2021-03-16, 14:42 authored by AR Fogg, M Lester, TK Yeoman, AG Burrell, SM Imber, SE Milan, EG Thomas, H Sangha, BJ Anderson
Super Dual Auroral Radar Network (SuperDARN) ionospheric convection maps are a powerful tool for the study of solar wind‐magnetosphere‐ionosphere interactions. SuperDARN data have high temporal (approximately minutes) and spatial (∼45 km) resolution, meaning that the convection can be mapped on fine time scales that show more detail than the large‐scale changes in the pattern. The Heppner‐Maynard boundary (HMB) defines the low‐latitude limit of the convection region, and its identification is an essential component of the standard SuperDARN convection mapping technique. However, the estimation of the latitude of this boundary is dependent on ionospheric scatter availability. Consequentially it is susceptible to nonphysical variations as areas of scatter in different latitude and local time regions appear and disappear, often due to changing propagation conditions. In this paper, the HMB is compared to an independent field‐aligned current data set from the Active Magnetosphere and Planetary Electrodynamics Response Experiment (AMPERE). A linear trend is found between the HMB and the boundary between the AMPERE Region 1 and Region 2 field‐aligned currents in the Northern Hemisphere, at both solar minimum and solar maximum. The use of this trend and the AMPERE current data set to predict the latitude position of the HMB is found to improve the interpretation of the SuperDARN measurements in convection mapping.

Funding

STFC. Grant Numbers: ST/N000749/1, ST/S000429/1

Chief of Naval Research

National Science Foundation. Grant Numbers: AGS-1524667, OPP-1836426

History

Author affiliation

Department of Physics and Astronomy

Version

  • VoR (Version of Record)

Published in

Journal of Geophysical Research: Space Physics

Volume

125

Issue

5

Publisher

Wiley for American Geophysical Union (AGU)

issn

2169-9380

eissn

2169-9402

Acceptance date

2020-04-10

Copyright date

2020

Available date

2021-03-16

Language

English