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Long-term Solar Activity Studies using Microwave Imaging Observations and Prediction for Cycle 25
N Gopalswamy1, P Mäkelä1,2, S Yashiro1,2
1Code 671, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA.
Summary
Microwave imaging reveals polar magnetic field strength correlates with solar wind speed. This data predicts solar cycle strength, suggesting cycle 25 will resemble cycle 24, and reveals a 3-5 cycle periodicity in polar field reversals.
Area of Science:
- Solar physics and space weather research.
- Heliophysics and solar activity monitoring.
Background:
- Long-term solar activity studies are crucial for space weather prediction.
- Understanding solar magnetic field evolution and its impact on solar wind is key.
- Polar magnetic field reversals and north-south asymmetry influence solar cycle dynamics.
Purpose of the Study:
- To utilize microwave imaging for long-term solar activity analysis.
- To establish proxies for polar magnetic fields and active regions using brightness temperatures.
- To predict solar cycle strength and investigate polar field reversal asymmetry.
Main Methods:
- Analysis of 17 GHz microwave imaging data from the Nobeyama Radioheliograph.
- Using polar and low-latitude brightness temperatures as proxies for magnetic fields and active regions.
- Employing prominence eruption locations to track filament evolution and combining with historical data.
Main Results:
- Polar microwave brightness temperature strongly correlates with polar magnetic field strength and fast solar wind speed.
- A lag of approximately half a solar cycle exists between polar and low-latitude microwave brightness.
- Predicted smoothed sunspot numbers for cycle 25 are 89 (south) and 59 (north), indicating similar strength to cycle 24.
- Analysis of historical data reveals a quasi-periodicity of 3-5 cycles in the north-south asymmetry of polar sign reversal.
Conclusions:
- Microwave brightness temperatures serve as effective proxies for key solar activity indicators.
- The observed correlations allow for reliable prediction of solar cycle strength.
- The study provides insights into the long-term behavior and asymmetry of solar polar magnetic field reversals.

