Fig 14
Two-dimensional Merge velocity vectors from the Goose Bay and Stokkseyri SuperDARN radars. The line-of-sight velocity data from both radars was averaged over a 20-min interval (1340–1400 UT) from December 10, 1997 before determination of the vectors. The Merge vectors are shown in a similar format to Fig. . The dashed lines show the fields of view of the two radars and the dotted lines represent MLT meridians (centred on 1200 MLT). This figure is adapted from Coleman et al. (2001)
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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