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Long-term Solar Activity Studies using Microwave Imaging Observations and Prediction for Cycle 25.
Gopalswamy, N; Mäkelä, P; Yashiro, S; Akiyama, S.
Afiliação
  • Gopalswamy N; Code 671, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA.
  • Mäkelä P; Code 671, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA.
  • Yashiro S; Department of Physics, The Catholic University of America, Washington DC 20064.
  • Akiyama S; Code 671, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA.
J Atmos Sol Terr Phys ; 176: 26-33, 2018 Sep.
Article em En | MEDLINE | ID: mdl-32021560
We use microwave imaging observations from the Nobeyama Radioheliograph at 17 GHz for long-term studies of solar activity. In particular, we use the polar and low-latitude brightness temperatures as proxies to the polar magnetic field and the active-regions, respectively. We also use the location of prominence eruptions as a proxy to the filament locations as a function of time. We show that the polar microwave brightness temperature is highly correlated with the polar magnetic field strength and the fast solar wind speed. We also show that the polar microwave brightness at one cycle is correlated with the low latitude brightness with a lag of about half a solar cycle. We use this correlation to predict the strength of the solar cycle: the smoothed sunspot numbers in the southern and northern hemispheres can be predicted as 89 and 59, respectively. These values indicate that cycle 25 will not be too different from cycle 24 in its strength. We also combined the rush to the pole data from Nobeyama prominences with historical data going back to 1860 to study the north-south asymmetry of sign reversal at solar poles. We find that the reversal asymmetry has a quasi-periodicity of 3-5 cycles.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article