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Keywords

SuperDARN
Magnetosphere
Ionosphere
HF radar
Ionospheric convection
Magnetic reconnection
Substorms
Magnetic field-aligned currents
ULF waves
Gravity waves
Mesospheric winds
Ionospheric irregularities

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Line-of-sight Doppler velocity measurements from the Finland and Iceland East SuperDARN radars for the interval 1300–1400 UT from 15 October, 1998, showing the presence of multiple ULF wave signals. (a) Velocity measurements from Finland beam 5, ranges 20–40. (b) Velocity measurements from Iceland East beam 15, ranges 30–45. In panels (a) and (b) Doppler velocity is indicated according to the colour scale to the right of the panel and plotted as a function of UT and range gate. (c) Time series of velocity data from Finland beam 5, range gates 26, 28, 30, 32, and 34. (d) Time series of velocity data from Iceland East beam 15, range gates 34, 35, 36, 37, and 38. In panels (c) and (d) the velocity time series from the successive range gates are offset by 150 m/s (for visibility of the data) and the velocity scale is indicated on the left. (e,f) Time series of the north (X) and east (Y) components of geomagnetic variations measured by the Tromsø magnetometer

Caption

Fig 20 

Line-of-sight Doppler velocity measurements from the Finland and Iceland East SuperDARN radars for the interval 1300–1400 UT from 15 October, 1998, showing the presence of multiple ULF wave signals. (a) Velocity measurements from Finland beam 5, ranges 20–40. (b) Velocity measurements from Iceland East beam 15, ranges 30–45. In panels (a) and (b) Doppler velocity is indicated according to the colour scale to the right of the panel and plotted as a function of UT and range gate. (c) Time series of velocity data from Finland beam 5, range gates 26, 28, 30, 32, and 34. (d) Time series of velocity data from Iceland East beam 15, range gates 34, 35, 36, 37, and 38. In panels (c) and (d) the velocity time series from the successive range gates are offset by 150 m/s (for visibility of the data) and the velocity scale is indicated on the left. (e,f) Time series of the north (X) and east (Y) components of geomagnetic variations measured by the Tromsø magnetometer

Extracts from the Article What's this?

Fig.  20 shows an example of artificial backscatter induced by the Tromsø heater being observed simultaneously by two of the SuperDARN radars (Finland and Iceland East), between 1300 and 1400 UT on 15 October 1998.

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A decade of the Super Dual Auroral Radar Network (SuperDARN): scientific achievements, new techniques and future directions

by  Chisham, G.;  Lester, M.;  Milan, S. E.;  Freeman, M. P.;  Bristow, W. A.;  Grocott, A.;  McWilliams, K. A.;  Ruohoniemi, J. M.;  Yeoman, T. K.;  Dyson, P. L.;  Greenwald, R. A.;  Kikuchi, T.;  Pinnock, M.;  Rash, J. P. S.;  Sato, N.;  Sofko, G. J.;  Villain, J.-P.;  Walker, A. D. M.
Journal: Surveys in Geophysics  Vol.  28  Issue  1
DOI: 10.1007/s10712-007-9017-8
Published: 2007-06-07
Institution(s):  Natural Environment Research Council,  University of Leicester,  UAF Geophysical Institute,  University of Saskatchewan,  Johns Hopkins University,  La Trobe University,  Nagoya University,  University of KwaZulu-Natal,  National Institute of Polar Research,  LPCE/CNRS


Abstract

The Super Dual Auroral Radar Network (SuperDARN) has been operating as an international co-operative organization for over 10 years. The network has now grown so that the fields of view of its 18 radars cover the majority of the northern and southern hemisphere polar ionospheres. SuperDARN has been successful in addressing a wide range of scientific questions concerning processes in the magnetosphere, ionosphere, thermosphere, and mesosphere, as well as general plasma physics questions. We commence this paper with a historical introduction to SuperDARN. Following this, we review the science performed by SuperDARN over the last 10 years covering the areas of ionospheric convection, field-aligned currents, magnetic reconnection, substorms, MHD waves, the neutral atmosphere, and E-region ionospheric irregularities. In addition, we provide an up-to-date description of the current network, as well as the analysis techniques available for use with the data from the radars. We conclude the paper with a discussion of the future of SuperDARN, its expansion, and new science opportunities.

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