Optimising estimates of mesospheric neutral wind using the TIGER SuperDARN radar

Matthews, Deanna; Parkinson, M. L.; Dyson, P. L.; Devlin, John

doi:10.1016/j.asr.2005.07.046

Cited by 5 publications

(10 citation statements)

References 11 publications

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“…Extracting hourly mean zonal and meridional components of the mesospheric winds from the Saskatoon radar meteor echoes requires some preprocessing steps to isolate them from other forms of backscatter and to remove noise. Specifically, we have excluded echoes having line‐of‐sight velocity greater than 100 m/s, error in velocity greater than 50 m/s [ Hibbins et al , ], spectral width less than 1 m/s or greater than 50 m/s and signal to noise ratio less than 3 dB or greater than 24 dB [ Matthews et al , ]. The remaining echoes are assumed to represent backscatter from meteor ionization trails and are used to calculate hourly median velocities over the first four range gates.…”

Section: Data Sets and Preprocessingmentioning

confidence: 99%

HF radar observations of a quasi‐biennial oscillation in midlatitude mesospheric winds

et al. 2016

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The equatorial quasi‐biennial oscillation (QBO) is known to be an important source of interannual variability in the middle‐ and high‐latitude stratosphere. The influence of the QBO on the stratospheric polar vortex in particular has been extensively studied. However, the impact of the QBO on the winds of the midlatitude mesosphere is much less clear. We have applied 13 years (2002–2014) of data from the Saskatoon Super Dual Auroral Radar Network HF radar to show that there is a strong QBO signature in the midlatitude mesospheric zonal winds during the late winter months. We find that the Saskatoon mesospheric winds are related to the winds of the equatorial QBO at 50 hPa such that the westerly mesospheric winds strengthen when QBO is easterly, and vice versa. We also consider the situation in the late winter Saskatoon stratosphere using the European Centre for Medium‐Range Weather Forecasts ERA‐Interim reanalysis data set. We find that the Saskatoon stratospheric winds between 7 hPa and 70 hPa weaken when the equatorial QBO at 50 hPa is easterly, and vice versa. We speculate that gravity wave filtering from the QBO‐modulated stratospheric winds and subsequent opposite momentum deposition in the mesosphere plays a major role in the appearance of the QBO signature in the late winter Saskatoon mesospheric winds, thereby coupling the equatorial stratosphere and the midlatitude mesosphere.

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Section: Data Sets and Preprocessingmentioning

confidence: 99%

HF radar observations of a quasi‐biennial oscillation in midlatitude mesospheric winds

et al. 2016

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“…Meteor echo extraction is the basis of neutral wind inversion. SuperDARN HF radar picks up meteor echoes based on the following characteristics [24]: located at relatively close range units, typically within 500 km at slant range, at the height of the ionosphere D and E layers, generally within 150 km, the echo power of the meteor is greater than 3 dB; the Doppler velocity is in the range of −50 m/s ∼ 50 m/s; and the spectrum width is in the range of 1 m/s ∼ 50 m/s. However, the above meteor echo filtering thresholds are not completely applicable to AgileDARN.…”

Section: Meteor Echo Extraction Algorithmmentioning

confidence: 99%

“…According to the singular value decomposition theory, we can obtain that for any M × N matrix A, we can write the orthogonal matrix U of column M × N . The product of the diagonal matrix W of N × N and the transpose matrix V of N × N [24], i.e.,…”

Section: Neutral Wind Inversion Algorithmmentioning

confidence: 99%

Retrieval of Mesospheric Neutral Wind Based on Agiledarn Hf Radar

Li¹

2022

PIER M

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In this paper, the inversion method of mesospheric neutral wind is studied based on midlatitude AgileDARN HF radar. Firstly, the meteor target observation method is carried out using 7.5 km range resolution and 2 s integration time. Then, the method of extracting the meteor echo from the data according to the doppler characteristics of the meteor is studied. Finally, the meridional and zonal components of mesospheric neutral wind are obtained by singular value decomposition method based on doppler velocity of meteor echo. The data analysis shows that the meteor echo has the highest incidence in the morning of local time and the lowest incidence in the evening of local time. The semi-diurnal characteristics of tidal waves can be seen from the meridional and zonal components of mesospheric neutral wind. Aiming at the ambiguity of elevation Angle measured by AgileDARN HF radar, a method is proposed to reduce the ambiguity of elevation angle, and the wind field profile of mesospheric neutral wind along altitude is obtained, which lays a foundation for the subsequent study of gravity wave, tidal wave, and planetary wave based on mesospheric wind field.

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“…The calibration methodology introduced here uses features of meteor backscatter from the grainy near range echoes (GNREs) at slant range less than 500 km, as first introduced in (Hall et al, 1997). Since then, a series of studies on meteor echoes based on SuperDARN radars were triggered (André et al, 1998;Arnold et al, 2001;Chisham, 2018;Chisham & Freeman, 2013;Hussey et al, 2000;Jenkins et al, 1998;Matthews et al, 2006;Tsutsumi et al, 2009;Yukimatu & Tsutsumi, 2002), and SuperDARN widened the research area down to the mesosphere and lower thermosphere (MLT) region. Meteor backscatter happens when the transmitted radio waves backscatter from meteor trails left by meteorites as they enter the atmosphere (Ceplecha et al, 1998).…”

Section: External Calibrationmentioning

confidence: 99%

Calibrating the Amplitude and Phase Imbalances in AgileDARN HF Radar

et al. 2021

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The SuperDARN is known as an international collaboration of low-power, high-frequency (HF) radars making measurements of detecting backscatter from plasma density irregularities in the high-and mid-latitude ionosphere for scientific purposes. Over the past several decades, numerous studies of the atmospheric, ionospheric, and magnetospheric phenomena have been made possible with data from SuperDARN (Chisham et al., 2007;Greenwald et al., 1995;Nishitani et al., 2019). The network has been expanding globally since the first radar was deployed in Goose Bay, Labrador (gbr). It now comprises 38 (24 in the northern hemisphere and 14 in the southern hemisphere) operational radars, with two more radars Jiamusi east (JME) and Dome C north recently joining the SuperDARN community and contributing to the SuperDARN data flow in 2020 (More comprehensive information about theses radars can be found at [VT SuperDARN Home, 2020] and as supporting information). Several additional detectors are in the planning and construction stages, such as three more sites (Siziwangqi, Yanji, and Yining) with six radars supported by the Meridian Project II in China. An equatorial ionospheric HF radar at Christmas Island, Kiribati will be deployed by American Air Force Research Laboratory.The SuperDARN radars are electronically steerable, narrow-beam, phased-array radars (Greenwald et al., 1985). Several SuperDARN research groups have made significant technical innovations. However, calibration techniques seem to have received very little attention and research in the SuperDARN community. Only a few groups have adopted or attempted to calibrate the radar system. Nguyen et al. (2013) utilized two additional 14-bit analog-to-digital converters (ADCs) alongside the main receiver 16-bit ADC in each transceiver to calibrate the multi-transceiver phase variability in TIGER-3 HF radar. This method does not rely on reference channels and has distinct phase calibration accuracy between transceivers, which is 0.153° at 14 MHz operating frequency. However, there is no description of amplitude calibration in the

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Optimising estimates of mesospheric neutral wind using the TIGER SuperDARN radar

Cited by 5 publications

References 11 publications

HF radar observations of a quasi‐biennial oscillation in midlatitude mesospheric winds

HF radar observations of a quasi‐biennial oscillation in midlatitude mesospheric winds

Retrieval of Mesospheric Neutral Wind Based on Agiledarn Hf Radar

Calibrating the Amplitude and Phase Imbalances in AgileDARN HF Radar

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