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© 2021. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Zonal winds in the stratosphere and mesosphere play important roles in atmospheric dynamics and aeronomy. However, the direct measurement of winds in this height range is difficult. We present a dataset of the monthly mean zonal wind in the height range of 18–100 km and at latitudes of 50 S–50 N from 2002 to 2019, derived by the gradient balance wind theory and the temperature and pressure observed by the SABER instrument. The tide alias above 80 km at the Equator is replaced by the monthly mean zonal wind measured by a meteor radar at 0.2 S. The dataset (named BU) is validated by comparing with the zonal wind from MERRA2 (MerU), UARP (UraU), the HWM14 empirical model (HwmU), meteor radar (MetU), and lidar (LidU) at seven stations from around 50 N to 29.7 S. At 18–70 km, BU and MerU have (i) nearly identical zero wind lines and (ii) year-to-year variations of the eastward and westward wind jets at middle and high latitudes, and (iii) the quasi-biennial oscillation (QBO) and semi-annual oscillation (SAO) especially the disrupted QBO in early 2016. The comparisons among BU, UraU, and HwmU show good agreement in general below 80 km. Above 80 km, the agreements among BU, UraU, HwmU, MetU, and LidU are good in general, except some discrepancies at limited heights and months. The BU data are archived as netCDF files and are available at 10.12176/01.99.00574 (Liu et al., 2021). The advantages of the global BU dataset are its large vertical extent (from the stratosphere to the lower thermosphere) and 18-year internally consistent time series (2002–2019). The BU data is useful to study the temporal variations with periods ranging from seasons to decades at 50 S–50 N. It can also be used as the background wind for atmospheric wave propagation.

Details

Title
Global balanced wind derived from SABER temperature and pressure observations and its validations
Author
Liu, Xiao 1   VIAFID ORCID Logo  ; Xu, Jiyao 2 ; Jia Yue 3   VIAFID ORCID Logo  ; You, Yu 4 ; Batista, Paulo P 5   VIAFID ORCID Logo  ; Andrioli, Vania F 6 ; Liu, Zhengkuan 7 ; Yuan, Tao 8 ; Wang, Chi 7 ; Zou, Ziming 7 ; Li, Guozhu 4   VIAFID ORCID Logo  ; Russell, James M, III 9   VIAFID ORCID Logo 

 Henan Engineering Laboratory for Big Data Statistical Analysis and Optimal Control, School of Mathematics and Information Sciences, Henan Normal University, Xinxiang, 453000, China; State Key Laboratory of Space Weather, Center for Space Science and Applied Research, Chinese Academy of Sciences, Beijing, 100190, China 
 State Key Laboratory of Space Weather, Center for Space Science and Applied Research, Chinese Academy of Sciences, Beijing, 100190, China; School of Astronomy and Space Science, University of the Chinese Academy of Science, Beijing, 100049, China 
 Atmospheric and Planetary Sciences, Hampton University, Hampton, VA 23668, USA; now at: Catholic University of America, Washington, DC 20064, USA 
 Key Laboratory of Ionospheric Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China 
 Heliophysics, Planetary Science and Aeronomy Division, National Institute for Space Research (INPE), Sao Jose dos Campos, Sao Paulo, Brazil 
 State Key Laboratory of Space Weather, Center for Space Science and Applied Research, Chinese Academy of Sciences, Beijing, 100190, China; Heliophysics, Planetary Science and Aeronomy Division, National Institute for Space Research (INPE), Sao Jose dos Campos, Sao Paulo, Brazil 
 State Key Laboratory of Space Weather, Center for Space Science and Applied Research, Chinese Academy of Sciences, Beijing, 100190, China 
 Center for Atmospheric and Space Sciences, Utah State University, Logan, UT 84322, USA 
 Atmospheric and Planetary Sciences, Hampton University, Hampton, VA 23668, USA 
Pages
5643-5661
Publication year
2021
Publication date
2021
Publisher
Copernicus GmbH
ISSN
18663508
e-ISSN
18663516
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2607202769
Copyright
© 2021. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.