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Review of the accomplishments of midlatitude Super Dual Auroral Radar Network (SuperDARN) HF radars

Authors :
Nishitani, Nozomu
Ruohoniemi, John Michael
Lester, Mark
Baker, Joseph Benjamin Harold
Koustov, Alexandre Vasilyevich
Shepherd, Simon G.
Chisham, Gareth
Hori, Tomoaki
Thomas, Evan G.
Makarevich, Roman A.
Marchaudon, Aurélie
Ponomarenko, Pavlo
Wild, James A.
Milan, Stephen E.
Bristow, William A.
Devlin, John
Miller, Ethan
Greenwald, Raymond A.
Ogawa, Tadahiko
Kikuchi, Takashi
Nishitani, Nozomu
Ruohoniemi, John Michael
Lester, Mark
Baker, Joseph Benjamin Harold
Koustov, Alexandre Vasilyevich
Shepherd, Simon G.
Chisham, Gareth
Hori, Tomoaki
Thomas, Evan G.
Makarevich, Roman A.
Marchaudon, Aurélie
Ponomarenko, Pavlo
Wild, James A.
Milan, Stephen E.
Bristow, William A.
Devlin, John
Miller, Ethan
Greenwald, Raymond A.
Ogawa, Tadahiko
Kikuchi, Takashi
Publication Year :
2019

Abstract

The Super Dual Auroral Radar Network (SuperDARN) is a network of high-frequency (HF) radars located in the high- and mid-latitude regions of both hemispheres that is operated under international cooperation. The network was originally designed for monitoring the dynamics of the ionosphere and upper atmosphere in the high-latitude regions. However, over the last approximately 15 years, SuperDARN has expanded into the mid-latitude regions. With radar coverage that now extends continuously from auroral to sub-auroral and mid-latitudes, a wide variety of new scientific findings have been obtained. In this paper, the background of mid-latitude SuperDARN is presented at first. Then, the accomplishments made with mid-latitude SuperDARN radars are reviewed in five specified scientific and technical areas: convection, ionospheric irregularities, HF propagation analysis, ion-neutral interactions, and magnetohydrodynamic (MHD) waves. Finally, the present status of mid-latitude SuperDARN is updated and directions for future research are discussed.

Details

Database :
OAIster
Notes :
text, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1090299023
Document Type :
Electronic Resource