Articles | Volume 22, issue 14
https://doi.org/10.5194/acp-22-9499-2022
https://doi.org/10.5194/acp-22-9499-2022
Research article
 | 
22 Jul 2022
Research article |  | 22 Jul 2022

The semi-annual oscillation (SAO) in the upper troposphere and lower stratosphere (UTLS)

Ming Shangguan and Wuke Wang

Data sets

Global Modeling and Assimilation Office,instM\_3d\_asm\_Np: MERRA2 3D IAU State, Meteorology monthly mean (p-coord, 0.625x0.5L42), version 5.12.4 GMAO https://doi.org/10.5067/2E096JV59PK7

Global Modeling and Assimilation Office,tavgM\_3d\_tdt\_Np: MERRA2 3D IAU State, Meteorology monthly mean (p-coord, 0.625x0.5L42), version 5.12.4 GMAO https://doi.org/10.5067/VILT59HI2MOY

ERA5 monthly averaged data on pressure levels from 1979 to present H. Hersbach, B. Bell, P. Berrisford, G. Biavati, A. Horányi, J. Muñoz~Sabater, J. Nicolas, C. Peubey, R. Radu, I. Rozum, D. Schepers, A. Simmons, C. Soci, D. Dee, and J.-N, Thépaut https://doi.org/10.24381/cds.6860a573

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Short summary
Skilful predictions of weather and climate on subseasonal to seasonal scales are valuable for decision makers. Here we show the global spatiotemporal variation of the temperature SAO in the UTLS with GNSS RO and reanalysis data. The formation of the SAO is explained by an energy budget analysis. The results show that the SAO in the UTLS is partly modified by the SSTs according to model simulations. The results may provide an important source for seasonal predictions of the surface weather.
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