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

Liu, Xiao; Xu, Jiyao; Yue, Jia; Andrioli, Vania F.

doi:https://doi.org/10.5194/acp-23-6145-2023

Articles | Volume 23, issue 11

https://doi.org/10.5194/acp-23-6145-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Long-term changes and trends in the middle and upper...

https://doi.org/10.5194/acp-23-6145-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 11

Research article

|

06 Jun 2023

Research article |

| 06 Jun 2023

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

Xiao Liu, Jiyao Xu, Jia Yue, and Vania F. Andrioli

Data sets

Global Balanced Wind Derived from SABER Temperature and Pressure Observations and its Validations X. Liu, J. Xu, J. Yue, Y. Yu, P. P. Batista, V. F. Andrioli, Z. Liu, T. Yuan, C. Wang, Z. Zou, G. Li, and J. M. Russell III https://doi.org/10.12176/01.99.00574

The 10.7 cm solar radio flux (F10.7) (https://spdf.gsfc.nasa.gov/pub/data/omni/) K. F. Tapping https://doi.org/10.1002/swe.20064

Development of the GEOS-5 atmospheric general circulation model: evolution from MERRA to MERRA2 (http://disc.sci.gsfc.nasa.gov/mdisc) A. Molod, L. Takacs, M. Suarez, and J. Bacmeister https://doi.org/10.5194/gmd-8-1339-2015

Sudden Stratospheric Warmings (https://www.geo.fu-berlin.de/en/met/ag/strat/produkte/qbo/) M. P. Baldwin, B. Ayarzagüena, T. Birner, N. Butchart, A. H. Butler, A. J. Charlton-Perez, D. I. V. Domeisen, C. I. Garfinkel, H. Garny, E. P. Gerber, M. I. Hegglin, U. Langematz, and N. M. Pedatella https://doi.org/10.1029/2020RG000708

Towards probabilistic multivariate ENSO monitoring (https://www.psl.noaa.gov/enso/mei/) T. Zhang, A. Hoell, J. Perlwitz, J. Eischeid, D. Murray, M. Hoerling, and T. M. Hamill https://doi.org/10.1029/2019GL083946

Short summary

Winds are important in characterizing atmospheric dynamics and coupling. However, it is difficult to directly measure the global winds from the stratosphere to the lower thermosphere. We developed a global zonal wind dataset according to the gradient wind theory and SABER and meteor radar observations. Using the dataset, we studied the intra-annual, inter-annual, and long-term variations. This is helpful to understand the variations and coupling of the stratosphere to the lower thermosphere.