Variations in global zonal wind from 18 to 100 km due to solar activity and the quasi-biennial oscillation and El Niño–Southern Oscillation during 2002–2019

<p>Variations of global wind are important in changing the atmospheric structure and circulation, in coupling of atmospheric layers, and in influencing the wave propagations. Due to the difficulty of directly measuring zonal wind from the stratosphere to the lower thermosphere, we derived a gl...

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Main Authors: X. Liu, J. Xu, J. Yue, V. F. Andrioli
Format: Article
Language:English
Published: Copernicus Publications 2023-06-01
Series:Atmospheric Chemistry and Physics
Online Access:https://acp.copernicus.org/articles/23/6145/2023/acp-23-6145-2023.pdf
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author X. Liu
X. Liu
J. Xu
J. Xu
J. Yue
J. Yue
V. F. Andrioli
V. F. Andrioli
author_facet X. Liu
X. Liu
J. Xu
J. Xu
J. Yue
J. Yue
V. F. Andrioli
V. F. Andrioli
author_sort X. Liu
collection DOAJ
description <p>Variations of global wind are important in changing the atmospheric structure and circulation, in coupling of atmospheric layers, and in influencing the wave propagations. Due to the difficulty of directly measuring zonal wind from the stratosphere to the lower thermosphere, we derived a global balance wind (BU) dataset from 50<span class="inline-formula"><sup>∘</sup></span> S to 50<span class="inline-formula"><sup>∘</sup></span> N and during 2002–2019 using the gradient wind theory and SABER temperatures and modified by meteor radar observations at the Equator. The dataset captures the main feature of global monthly mean zonal wind and can be used to study the variations (i.e., annual, semi-annual, ter-annual, and linear) of zonal wind and the responses of zonal wind to quasi-biennial oscillation (QBO), El Niño–Southern Oscillation (ENSO), and solar activity (<span class="inline-formula"><i>F</i><sub>10.7</sub></span>). The same procedure is performed on the MERRA-2 zonal wind (MerU) to validate BU and its responses below 70 km. The annual, semi-annual, and ter-annual oscillations of BU and MerU have similar amplitudes and phases. The semi-annual oscillation of BU has peaks around 80 km, which are stronger in the southern tropical region and coincide with previous satellite observations. As the increasing of the values representing QBO wind, both values of representing BU and MerU (short for BU and MerU) change from increasing to decreasing with the increasing height and extend from the Equator to higher latitudes. Both BU and MerU increase with the increasing of the values of multivariate ENSO index (MEI) and decrease with increasing <span class="inline-formula"><i>F</i><sub>10.7</sub></span>​​​​​​​ in the southern stratospheric polar jet region below 70 km. The responses of winds to ENSO and <span class="inline-formula"><i>F</i><sub>10.7</sub></span> exhibit hemispheric asymmetry and are more significant in the southern polar jet region. While above 70 km, BU increases with the increasing of MEI and <span class="inline-formula"><i>F</i><sub>10.7</sub></span>. The negative linear changes of BU at 50<span class="inline-formula"><sup>∘</sup></span> N are absent in MerU during October–January. The discussions on the possible influences of the temporal intervals and sudden stratospheric warmings (SSWs) on the variations and responses of BU illustrate the following: (1) the seasonal variations and the responses to QBO are almost independent on the temporal intervals selected; (2) the responses to ENSO and <span class="inline-formula"><i>F</i><sub>10.7</sub></span> are robust but slightly depend on the temporal intervals; (3) the linear changes of both BU and MerU depend strongly on the temporal intervals; (4) SSWs affect the magnitudes but do not affect the hemispheric asymmetry of the variations and responses of BU at least in the monthly mean sense. The variations and responses of global zonal wind to various factors are based on BU, which is derived from observations, and thus provide a good complement to model studies and ground-based observations.</p>
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spelling doaj.art-9b0d306bde9b4767b7a216703769c0742023-06-06T07:52:13ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242023-06-01236145616710.5194/acp-23-6145-2023Variations in global zonal wind from 18 to 100&thinsp;km due to solar activity and the quasi-biennial oscillation and El Niño–Southern Oscillation during 2002–2019X. Liu0X. Liu1J. Xu2J. Xu3J. Yue4J. Yue5V. F. Andrioli6V. F. Andrioli7Institute of Electromagnetic Wave, School of Physics, Henan Normal University, Xinxiang, 453000, ChinaState Key Laboratory of Space Weather, National Space Science Center, Chinese Academy of Sciences, Beijing, 100190, ChinaState Key Laboratory of Space Weather, National Space Science Center, Chinese Academy of Sciences, Beijing, 100190, ChinaSchool of Astronomy and Space Science, University of the Chinese Academy of Science, Beijing, 100049, China​​​​​​​Physics Department, Catholic University of America, Washington, DC 20064, USANASA Goddard Space Flight Center, Greenbelt, MD 20771, USAState Key Laboratory of Space Weather, National Space Science Center, Chinese Academy of Sciences, Beijing, 100190, ChinaHeliophysics, Planetary Science and Aeronomy Division, National Institute for Space Research (INPE), São José dos Campos, São Paulo, Brazil<p>Variations of global wind are important in changing the atmospheric structure and circulation, in coupling of atmospheric layers, and in influencing the wave propagations. Due to the difficulty of directly measuring zonal wind from the stratosphere to the lower thermosphere, we derived a global balance wind (BU) dataset from 50<span class="inline-formula"><sup>∘</sup></span> S to 50<span class="inline-formula"><sup>∘</sup></span> N and during 2002–2019 using the gradient wind theory and SABER temperatures and modified by meteor radar observations at the Equator. The dataset captures the main feature of global monthly mean zonal wind and can be used to study the variations (i.e., annual, semi-annual, ter-annual, and linear) of zonal wind and the responses of zonal wind to quasi-biennial oscillation (QBO), El Niño–Southern Oscillation (ENSO), and solar activity (<span class="inline-formula"><i>F</i><sub>10.7</sub></span>). The same procedure is performed on the MERRA-2 zonal wind (MerU) to validate BU and its responses below 70 km. The annual, semi-annual, and ter-annual oscillations of BU and MerU have similar amplitudes and phases. The semi-annual oscillation of BU has peaks around 80 km, which are stronger in the southern tropical region and coincide with previous satellite observations. As the increasing of the values representing QBO wind, both values of representing BU and MerU (short for BU and MerU) change from increasing to decreasing with the increasing height and extend from the Equator to higher latitudes. Both BU and MerU increase with the increasing of the values of multivariate ENSO index (MEI) and decrease with increasing <span class="inline-formula"><i>F</i><sub>10.7</sub></span>​​​​​​​ in the southern stratospheric polar jet region below 70 km. The responses of winds to ENSO and <span class="inline-formula"><i>F</i><sub>10.7</sub></span> exhibit hemispheric asymmetry and are more significant in the southern polar jet region. While above 70 km, BU increases with the increasing of MEI and <span class="inline-formula"><i>F</i><sub>10.7</sub></span>. The negative linear changes of BU at 50<span class="inline-formula"><sup>∘</sup></span> N are absent in MerU during October–January. The discussions on the possible influences of the temporal intervals and sudden stratospheric warmings (SSWs) on the variations and responses of BU illustrate the following: (1) the seasonal variations and the responses to QBO are almost independent on the temporal intervals selected; (2) the responses to ENSO and <span class="inline-formula"><i>F</i><sub>10.7</sub></span> are robust but slightly depend on the temporal intervals; (3) the linear changes of both BU and MerU depend strongly on the temporal intervals; (4) SSWs affect the magnitudes but do not affect the hemispheric asymmetry of the variations and responses of BU at least in the monthly mean sense. The variations and responses of global zonal wind to various factors are based on BU, which is derived from observations, and thus provide a good complement to model studies and ground-based observations.</p>https://acp.copernicus.org/articles/23/6145/2023/acp-23-6145-2023.pdf
spellingShingle X. Liu
X. Liu
J. Xu
J. Xu
J. Yue
J. Yue
V. F. Andrioli
V. F. Andrioli
Variations in global zonal wind from 18 to 100&thinsp;km due to solar activity and the quasi-biennial oscillation and El Niño–Southern Oscillation during 2002–2019
Atmospheric Chemistry and Physics
title Variations in global zonal wind from 18 to 100&thinsp;km due to solar activity and the quasi-biennial oscillation and El Niño–Southern Oscillation during 2002–2019
title_full Variations in global zonal wind from 18 to 100&thinsp;km due to solar activity and the quasi-biennial oscillation and El Niño–Southern Oscillation during 2002–2019
title_fullStr Variations in global zonal wind from 18 to 100&thinsp;km due to solar activity and the quasi-biennial oscillation and El Niño–Southern Oscillation during 2002–2019
title_full_unstemmed Variations in global zonal wind from 18 to 100&thinsp;km due to solar activity and the quasi-biennial oscillation and El Niño–Southern Oscillation during 2002–2019
title_short Variations in global zonal wind from 18 to 100&thinsp;km due to solar activity and the quasi-biennial oscillation and El Niño–Southern Oscillation during 2002–2019
title_sort variations in global zonal wind from 18 to 100 thinsp km due to solar activity and the quasi biennial oscillation and el nino southern oscillation during 2002 2019
url https://acp.copernicus.org/articles/23/6145/2023/acp-23-6145-2023.pdf
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