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A Revisit of Large-Scale Patterns in Middle Stratospheric Circulation Variations
Ningning Tao1, Xiaosong Chen1,2, Fei Xie1
1School of Systems Science, Beijing Normal University, Beijing 100875, China.
Entropy (Basel, Switzerland)
|April 26, 2025
Summary
Stratospheric circulation variations impact weather. The Antarctic circulation shows an 11-year cycle linked to solar activity, while the Arctic shows a 5-6 year cycle, aiding climate prediction.
Area of Science:
- Atmospheric Science
- Climatology
- Aerospace Engineering
Background:
- Stratospheric circulation variations significantly influence tropospheric weather and climate.
- Understanding these dynamics is crucial for improving weather forecasts and guiding stratospheric aircraft operations.
- Despite progress, a comprehensive view of large-scale stratospheric circulation patterns remains elusive due to its complex nature.
Purpose of the Study:
- To analyze large-scale stratospheric circulation patterns using the eigen microstate approach (EMA).
- To investigate the temporal characteristics of stratospheric zonal wind variations from 1980-2022.
- To identify potential links between stratospheric circulation cycles and external factors like the solar cycle.
Main Methods:
- Utilized ERA5 reanalysis data for zonal wind analysis between 70-10 hPa.
- Applied the eigen microstate approach (EMA) to identify dominant circulation modes.
- Filtered high-frequency components to reveal underlying cyclical patterns.
Main Results:
- Identified three leading modes: quasi-biennial oscillation (QBO) strength, Arctic, and Antarctic stratospheric circulation.
- Observed a significant 11-year cycle in Antarctic circulation, potentially solar-driven, and a 5-6 year cycle in Arctic circulation.
- A Southern Hemisphere dipole mode correlated with Antarctic circulation, leading by two months. A predictive model for the Antarctic polar vortex was developed.
Conclusions:
- Stratospheric circulation exhibits distinct regional cycles, with the Antarctic susceptible to solar influences due to later polar vortex breakdown.
- The identified cycles and correlations offer insights into atmospheric predictability.
- The developed linear model demonstrates potential for predicting Antarctic polar vortex behavior.
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