Literature DB >> 32021560

Long-term Solar Activity Studies using Microwave Imaging Observations and Prediction for Cycle 25.

N Gopalswamy1, P Mäkelä1,2, S Yashiro1,2, S Akiyama1,2.   

Abstract

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.

Entities:  

Keywords:  Babcock-Leighton mechanism; polar microwave brightness; solar polarity reversal; solar-cycle prediction

Year:  2018        PMID: 32021560      PMCID: PMC6999695          DOI: 10.1016/j.jastp.2018.04.005

Source DB:  PubMed          Journal:  J Atmos Sol Terr Phys        ISSN: 1364-6826            Impact factor:   1.735


  1 in total

Review 1.  Solar Cycle Prediction.

Authors:  Kristóf Petrovay
Journal:  Living Rev Sol Phys       Date:  2010-12-27       Impact factor: 17.417

  1 in total
  1 in total

1.  Magnetic Helicity as a Predictor of the Solar Cycle.

Authors:  G Hawkes; M A Berger
Journal:  Sol Phys       Date:  2018-07-24       Impact factor: 2.671

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.