Mesospheric winds measured by medium-frequency 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; it is 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...
Published in: | Geoscientific Instrumentation, Methods and Data Systems |
---|---|
Main Authors: | , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2020
|
Subjects: | |
Online Access: | https://doi.org/10.5194/gi-9-223-2020 https://noa.gwlb.de/receive/cop_mods_00051629 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00051285/gi-9-223-2020.pdf https://gi.copernicus.org/articles/9/223/2020/gi-9-223-2020.pdf |
id |
ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00051629 |
---|---|
record_format |
openpolar |
spelling |
ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00051629 2023-05-15T13:54:46+02:00 Mesospheric winds measured by medium-frequency radar with full correlation analysis: error properties and impacts on studies of wind variance Gibbins, Maude Kavanagh, Andrew J. 2020-05 electronic https://doi.org/10.5194/gi-9-223-2020 https://noa.gwlb.de/receive/cop_mods_00051629 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00051285/gi-9-223-2020.pdf https://gi.copernicus.org/articles/9/223/2020/gi-9-223-2020.pdf eng eng Copernicus Publications Geoscientific Instrumentation, Methods and Data Systems -- Geosci. Instrum. Meth. Data Syst. -- http://www.geoscientific-instrumentation-methods-and-data-systems.net/home.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2690575 -- 2193-0864 https://doi.org/10.5194/gi-9-223-2020 https://noa.gwlb.de/receive/cop_mods_00051629 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00051285/gi-9-223-2020.pdf https://gi.copernicus.org/articles/9/223/2020/gi-9-223-2020.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2020 ftnonlinearchiv https://doi.org/10.5194/gi-9-223-2020 2022-02-08T22:36:18Z The mesosphere is one of the most difficult parts of the atmosphere to sample; it is 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. Article in Journal/Newspaper Antarc* Antarctica Niedersächsisches Online-Archiv NOA Rothera ENVELOPE(-68.130,-68.130,-67.568,-67.568) Geoscientific Instrumentation, Methods and Data Systems 9 1 223 238 |
institution |
Open Polar |
collection |
Niedersächsisches Online-Archiv NOA |
op_collection_id |
ftnonlinearchiv |
language |
English |
topic |
article Verlagsveröffentlichung |
spellingShingle |
article Verlagsveröffentlichung Gibbins, Maude Kavanagh, Andrew J. Mesospheric winds measured by medium-frequency radar with full correlation analysis: error properties and impacts on studies of wind variance |
topic_facet |
article Verlagsveröffentlichung |
description |
The mesosphere is one of the most difficult parts of the atmosphere to sample; it is 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 |
Article in Journal/Newspaper |
author |
Gibbins, Maude Kavanagh, Andrew J. |
author_facet |
Gibbins, Maude Kavanagh, Andrew J. |
author_sort |
Gibbins, Maude |
title |
Mesospheric winds measured by medium-frequency radar with full correlation analysis: error properties and impacts on studies of wind variance |
title_short |
Mesospheric winds measured by medium-frequency radar with full correlation analysis: error properties and impacts on studies of wind variance |
title_full |
Mesospheric winds measured by medium-frequency radar with full correlation analysis: error properties and impacts on studies of wind variance |
title_fullStr |
Mesospheric winds measured by medium-frequency radar with full correlation analysis: error properties and impacts on studies of wind variance |
title_full_unstemmed |
Mesospheric winds measured by medium-frequency radar with full correlation analysis: error properties and impacts on studies of wind variance |
title_sort |
mesospheric winds measured by medium-frequency radar with full correlation analysis: error properties and impacts on studies of wind variance |
publisher |
Copernicus Publications |
publishDate |
2020 |
url |
https://doi.org/10.5194/gi-9-223-2020 https://noa.gwlb.de/receive/cop_mods_00051629 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00051285/gi-9-223-2020.pdf https://gi.copernicus.org/articles/9/223/2020/gi-9-223-2020.pdf |
long_lat |
ENVELOPE(-68.130,-68.130,-67.568,-67.568) |
geographic |
Rothera |
geographic_facet |
Rothera |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_relation |
Geoscientific Instrumentation, Methods and Data Systems -- Geosci. Instrum. Meth. Data Syst. -- http://www.geoscientific-instrumentation-methods-and-data-systems.net/home.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2690575 -- 2193-0864 https://doi.org/10.5194/gi-9-223-2020 https://noa.gwlb.de/receive/cop_mods_00051629 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00051285/gi-9-223-2020.pdf https://gi.copernicus.org/articles/9/223/2020/gi-9-223-2020.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/gi-9-223-2020 |
container_title |
Geoscientific Instrumentation, Methods and Data Systems |
container_volume |
9 |
container_issue |
1 |
container_start_page |
223 |
op_container_end_page |
238 |
_version_ |
1766260881791909888 |