Predicting Sunspot Numbers for Solar Cycles 25 and 26
S.-S. Wu, G. Qin

TL;DR
This paper introduces an extended prediction model for solar cycles that forecasts sunspot numbers nearly two cycles in advance, providing insights into future solar activity levels and their implications for space technology.
Contribution
The authors develop the TMLP-extension model, enabling long-term prediction of solar cycles 25 and 26, improving upon previous models by predicting nearly two cycles ahead.
Findings
Cycle 25 predicted maximum sunspot number: 115.1
Cycle 26 predicted maximum sunspot number: 107.3
Both cycles are expected to have similar activity levels as cycle 24
Abstract
The prediction of solar activity is important for advanced technologies and space activities. The peak sunspot number (SSN), which can represent the solar activity, has declined continuously in the past four solar cycles (2124), and the Sun would experience a Dalton-like minimum, or even the Maunder-like minimum, if the declining trend continues in the following several cycles, so that the predictions of solar activity for cycles 25 and 26 are crucial. In Qin & Wu, 2018, ApJ, we established an SSN prediction model denoted as two-parameter modified logistic prediction (TMLP) model, which can predict the variation of SSNs in a solar cycle if the start time of the cycle has been determined. In this work, we obtain a new model denoted as TMLP-extension (TMLP-E), which can predict the solar cycle nearly two cycles in advance, so that the predictions of cycles 25 and 26 are made. It is…
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Taxonomy
TopicsSolar and Space Plasma Dynamics · Geophysics and Gravity Measurements · Global Energy and Sustainability Research
