Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/106984
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Type: Journal article
Title: Mesospheric gravity wave momentum flux estimation using hybrid Doppler interferometry
Author: Spargo, A.
Reid, I.
MacKinnon, A.
Holdsworth, D.
Citation: Annales Geophysicae: atmospheres, hydrospheres and space sciences, 2017; 35(3):733-750
Publisher: Copernicus Publications
Issue Date: 2017
ISSN: 0992-7689
1432-0576
Statement of
Responsibility: 
Andrew J. Spargo, Iain M. Reid, Andrew D. MacKinnon, and David A. Holdsworth
Abstract: Mesospheric gravity wave (GW) momentum flux estimates using data from multibeam Buckland Park MF radar (34.6° S, 138.5° E) experiments (conducted from July 1997 to June 1998) are presented. On transmission, five Doppler beams were symmetrically steered about the zenith (one zenith beam and four off-zenith beams in the cardinal directions). The received beams were analysed with hybrid Doppler interferometry (HDI) (Holdsworth and Reid, 1998), principally to determine the radial velocities of the effective scattering centres illuminated by the radar. The methodology of Thorsen et al. (1997), later re-introduced by Hocking (2005) and since extensively applied to meteor radar returns, was used to estimate components of Reynolds stress due to propagating GWs and/or turbulence in the radar resolution volume. Physically reasonable momentum flux estimates are derived from the Reynolds stress components, which are also verified using a simple radar model incorporating GW-induced wind perturbations. On the basis of these results, we recommend the intercomparison of momentum flux estimates between co-located meteor radars and vertical-beam interferometric MF radars. It is envisaged that such intercomparisons will assist with the clarification of recent concerns (e.g. Vincent et al., 2010) of the accuracy of the meteor radar technique.
Keywords: Meteorology and atmospheric dynamics (waves and tides; instruments and techniques); radio science (remote sensing)
Description: Published: 12 June 2017
Rights: © Author(s) 2017. This work is distributed under the Creative Commons Attribution 3.0 License.
DOI: 10.5194/angeo-35-733-2017
Grant ID: http://purl.org/au-research/grants/arc/A69943065
http://purl.org/au-research/grants/arc/DP0450787
http://purl.org/au-research/grants/arc/DP0878144
http://purl.org/au-research/grants/arc/DP1096901
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