Preprints
https://doi.org/10.5194/acp-2022-102
https://doi.org/10.5194/acp-2022-102
 
16 Feb 2022
16 Feb 2022
Status: a revised version of this preprint is currently under review for the journal ACP.

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

Ming Shangguan1 and Wuke Wang2 Ming Shangguan and Wuke Wang
  • 1School of Geography and Information Engineering, China University of Geosciences, Wuhan, China
  • 2Department of Atmospheric Science, China University of Geosciences, Wuhan, China

Abstract. Both the scientific and operational communities are increasingly interested in subseasonal to seasonal variations of weather and climate. The Semi-Annual Oscillation (SAO) has been studied extensively at the surface as well as in the middle atmosphere (upper stratosphere and the lower mesosphere). However, the SAO in the upper troposphere and lower stratosphere (UTLS) has been less discussed. Here we find evident SAO of temperature in the UTLS (250–175 hPa) from the subtropics to mid-latitudes (22.5–42.5º) using high-quality satellite measurements, reanalysis data, and model simulations. We show the mechanism of its formation by an energy budget analysis. The temperature in the Northern Hemisphere (NH) UTLS shows the first peak in February according to the dynamical heating and shows the second peak in July due to the dynamical heating and moist processes. Similar to the NH, the winter time maximum of temperature in the SH is related to dynamical heating and the summer time maximum is related to both moist and dynamical heating in the UTLS. Model simulations indicate that the SAO in the UTLS is partly modified by the SAO of sea surface temperatures (SSTs).

Ming Shangguan and Wuke Wang

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-102', Anonymous Referee #1, 18 Mar 2022
    • AC1: 'Reply on RC1', Ming Shangguan, 15 May 2022
  • RC2: 'Comment on acp-2022-102', Anonymous Referee #2, 14 Apr 2022
    • AC2: 'Reply on RC2', Ming Shangguan, 15 May 2022

Ming Shangguan and Wuke Wang

Ming Shangguan and Wuke Wang

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Short summary
Skillful predictions of weather and climate on subseasonal to seasonal scales are valuable for decision makers. Here we show the global spatio-temporal 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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