Mesospheric winds measured by MF radar with Full Correlation Analysis: error properties and impacts on studies of wind variance

The mesosphere is one of the most difficult parts of the atmosphere to sample; too high for balloon measurements and too low for in-situ satellites. Consequently there is a reliance on remote sensing (either from the ground or from space) to diagnose this region. Ground based radars have been used s...

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Main Authors: Gibbins, Maude, Kavanagh, Andrew
Format: Text
Language:English
Published: 2019
Subjects:
Online Access:https://doi.org/10.5194/gi-2019-34
https://www.geosci-instrum-method-data-syst-discuss.net/gi-2019-34/
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spelling ftcopernicus:oai:publications.copernicus.org:gid80737 2023-05-15T13:35:08+02:00 Mesospheric winds measured by MF radar with Full Correlation Analysis: error properties and impacts on studies of wind variance Gibbins, Maude Kavanagh, Andrew 2019-10-30 application/pdf https://doi.org/10.5194/gi-2019-34 https://www.geosci-instrum-method-data-syst-discuss.net/gi-2019-34/ eng eng doi:10.5194/gi-2019-34 https://www.geosci-instrum-method-data-syst-discuss.net/gi-2019-34/ eISSN: 2193-0864 Text 2019 ftcopernicus https://doi.org/10.5194/gi-2019-34 2019-12-24T09:48:17Z The mesosphere is one of the most difficult parts of the atmosphere to sample; too high for balloon measurements and too low for in-situ satellites. Consequently there is a reliance on remote sensing (either from the ground or from space) to diagnose this region. Ground based radars have been used since the second half of the 20th century to probe the dynamics of the mesosphere; Medium Frequency (MF) radars provide estimates of the horizontal wind fields and are still used to analyse tidal structures and planetary waves that modulate the meridional and zonal winds. The variance of the winds has traditionally been linked qualitatively to the occurrence of gravity waves. In this paper the method of wind retrieval (full correlation analysis) employed by MF radars is considered with reference to two systems in Antarctica at different latitude (Halley at 76° S and Rothera at 67° S). It is shown that the width of the velocity distribution and occurrence of ‘outliers’ is related to the measured levels of anisotropy in the received signal pattern. The magnitude of the error distribution, as represented by the wind variance, varies with both insolation levels and geomagnetic activity. Thus it is demonstrated that for these two radars the influence of gravity waves may not be the primary mechanism that controls the overall variance. Text Antarc* Antarctica Copernicus Publications: E-Journals Rothera ENVELOPE(-68.130,-68.130,-67.568,-67.568)
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description The mesosphere is one of the most difficult parts of the atmosphere to sample; too high for balloon measurements and too low for in-situ satellites. Consequently there is a reliance on remote sensing (either from the ground or from space) to diagnose this region. Ground based radars have been used since the second half of the 20th century to probe the dynamics of the mesosphere; Medium Frequency (MF) radars provide estimates of the horizontal wind fields and are still used to analyse tidal structures and planetary waves that modulate the meridional and zonal winds. The variance of the winds has traditionally been linked qualitatively to the occurrence of gravity waves. In this paper the method of wind retrieval (full correlation analysis) employed by MF radars is considered with reference to two systems in Antarctica at different latitude (Halley at 76° S and Rothera at 67° S). It is shown that the width of the velocity distribution and occurrence of ‘outliers’ is related to the measured levels of anisotropy in the received signal pattern. The magnitude of the error distribution, as represented by the wind variance, varies with both insolation levels and geomagnetic activity. Thus it is demonstrated that for these two radars the influence of gravity waves may not be the primary mechanism that controls the overall variance.
format Text
author Gibbins, Maude
Kavanagh, Andrew
spellingShingle Gibbins, Maude
Kavanagh, Andrew
Mesospheric winds measured by MF radar with Full Correlation Analysis: error properties and impacts on studies of wind variance
author_facet Gibbins, Maude
Kavanagh, Andrew
author_sort Gibbins, Maude
title Mesospheric winds measured by MF radar with Full Correlation Analysis: error properties and impacts on studies of wind variance
title_short Mesospheric winds measured by MF radar with Full Correlation Analysis: error properties and impacts on studies of wind variance
title_full Mesospheric winds measured by MF radar with Full Correlation Analysis: error properties and impacts on studies of wind variance
title_fullStr Mesospheric winds measured by MF radar with Full Correlation Analysis: error properties and impacts on studies of wind variance
title_full_unstemmed Mesospheric winds measured by MF radar with Full Correlation Analysis: error properties and impacts on studies of wind variance
title_sort mesospheric winds measured by mf radar with full correlation analysis: error properties and impacts on studies of wind variance
publishDate 2019
url https://doi.org/10.5194/gi-2019-34
https://www.geosci-instrum-method-data-syst-discuss.net/gi-2019-34/
long_lat ENVELOPE(-68.130,-68.130,-67.568,-67.568)
geographic Rothera
geographic_facet Rothera
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_source eISSN: 2193-0864
op_relation doi:10.5194/gi-2019-34
https://www.geosci-instrum-method-data-syst-discuss.net/gi-2019-34/
op_doi https://doi.org/10.5194/gi-2019-34
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