Space Climate 7:

Space Climate Symposium on July 8-11 , 2019

Space Climate 7 Meeting Abstract

Predictability of the solar cycle and its application into the prediction of cycle 25

jie Jiang (Beihang University, Beijing, China)

Although the emergence of sunspot groups shows some systematic properties in the number, latitude, tilt angle and so on, it also shows strong randomness. The random properties make it impossible to accurately predict the solar cycle and strongly limiting the scope of cycle predictions. We develop a scheme to investigate the predictability of the solar cycle over one cycle. When a cycle has been ongoing for more than three years, the sunspot group emergence can be predicted along with its uncertainty during the rest time of the cycle. The method for this prediction is to start by generating a set of random realizations that obey the statistical relations of the sunspot emergence. We then use a surface flux transport model to calculate the possible axial dipole moment evolutions. The correlation between the axial dipole moment at cycle minimum and the subsequent cycle strength and other empirical properties of solar cycles are used to predict the possible profiles of the subsequent cycle. We apply this scheme to predict the large-scale field evolution from 2018 to the end of cycle 25, whose maximum strength is expected to lie in the range from 93 to 155 with a probability of 95%. It is about 10% stronger than cycle 24 based on the mean value.

Mode of presentation: oral (Need to be confirmed by the SOC)

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