Literature DB >> 27194963

Solar Cycle Prediction.

Kristóf Petrovay1.   

Abstract

A review of solar cycle prediction methods and their performance is given, including forecasts for cycle 24. The review focuses on those aspects of the solar cycle prediction problem that have a bearing on dynamo theory. The scope of the review is further restricted to the issue of predicting the amplitude (and optionally the epoch) of an upcoming solar maximum no later than right after the start of the given cycle. Prediction methods form three main groups. Precursor methods rely on the value of some measure of solar activity or magnetism at a specified time to predict the amplitude of the following solar maximum. Their implicit assumption is that each numbered solar cycle is a consistent unit in itself, while solar activity seems to consist of a series of much less tightly intercorrelated individual cycles. Extrapolation methods, in contrast, are based on the premise that the physical process giving rise to the sunspot number record is statistically homogeneous, i.e., the mathematical regularities underlying its variations are the same at any point of time and, therefore, it lends itself to analysis and forecasting by time series methods. Finally, instead of an analysis of observational data alone, model based predictions use physically (more or less) consistent dynamo models in their attempts to predict solar activity. In their overall performance during the course of the last few solar cycles, precursor methods have clearly been superior to extrapolation methods. Nevertheless, most precursor methods overpredicted cycle 23, while some extrapolation methods may still be worth further study. Model based forecasts have not yet had a chance to prove their skills. One method that has yielded predictions consistently in the right range during the past few solar cycles is that of K. Schatten et al., whose approach is mainly based on the polar field precursor. The incipient cycle 24 will probably mark the end of the Modern Maximum, with the Sun switching to a state of less strong activity. It will therefore be an important testbed for cycle prediction methods and, by inference, for our understanding of the solar dynamo.

Entities:  

Year:  2010        PMID: 27194963      PMCID: PMC4841181          DOI: 10.12942/lrsp-2010-6

Source DB:  PubMed          Journal:  Living Rev Sol Phys        ISSN: 1614-4961            Impact factor:   17.417


  7 in total

1.  Stochastic relaxation oscillator model for the solar cycle.

Authors:  P D Mininni; D O Gómez; G B Mindlin
Journal:  Phys Rev Lett       Date:  2000-12-18       Impact factor: 9.161

2.  Practical implementation of nonlinear time series methods: The TISEAN package.

Authors:  Rainer Hegger; Holger Kantz; Thomas Schreiber
Journal:  Chaos       Date:  1999-06       Impact factor: 3.642

3.  Predicting chaotic time series.

Authors: 
Journal:  Phys Rev Lett       Date:  1987-08-24       Impact factor: 9.161

4.  Predicting solar cycle 24 with a solar dynamo model.

Authors:  Arnab Rai Choudhuri; Piyali Chatterjee; Jie Jiang
Journal:  Phys Rev Lett       Date:  2007-03-29       Impact factor: 9.161

5.  Failure in distinguishing colored noise from chaos using the "noise titration" technique.

Authors:  Ubiratan S Freitas; Christophe Letellier; Luis A Aguirre
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2009-03-03

6.  Determining embedding dimension for phase-space reconstruction using a geometrical construction.

Authors: 
Journal:  Phys Rev A       Date:  1992-03-15       Impact factor: 3.140

7.  Variations in the Sun's meridional flow over a solar cycle.

Authors:  David H Hathaway; Lisa Rightmire
Journal:  Science       Date:  2010-03-12       Impact factor: 47.728

  7 in total
  8 in total

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

Authors:  N Gopalswamy; P Mäkelä; S Yashiro; S Akiyama
Journal:  J Atmos Sol Terr Phys       Date:  2018-09       Impact factor: 1.735

Review 2.  Earth-affecting solar transients: a review of progresses in solar cycle 24.

Authors:  Jie Zhang; Manuela Temmer; Nat Gopalswamy; Olga Malandraki; Nariaki V Nitta; Spiros Patsourakos; Fang Shen; Bojan Vršnak; Yuming Wang; David Webb; Mihir I Desai; Karin Dissauer; Nina Dresing; Mateja Dumbović; Xueshang Feng; Stephan G Heinemann; Monica Laurenza; Noé Lugaz; Bin Zhuang
Journal:  Prog Earth Planet Sci       Date:  2021-10-04       Impact factor: 3.604

3.  Coronal and heliospheric magnetic flux circulation and its relation to open solar flux evolution.

Authors:  Mike Lockwood; Mathew J Owens; Suzanne M Imber; Matthew K James; Emma J Bunce; Timothy K Yeoman
Journal:  J Geophys Res Space Phys       Date:  2017-06-05       Impact factor: 2.811

4.  Prediction of the strength and timing of sunspot cycle 25 reveal decadal-scale space environmental conditions.

Authors:  Prantika Bhowmik; Dibyendu Nandy
Journal:  Nat Commun       Date:  2018-12-06       Impact factor: 14.919

5.  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

6.  Gradual onset of the Maunder Minimum revealed by high-precision carbon-14 analyses.

Authors:  Hiroko Miyahara; Fuyuki Tokanai; Toru Moriya; Mirei Takeyama; Hirohisa Sakurai; Kazuho Horiuchi; Hideyuki Hotta
Journal:  Sci Rep       Date:  2021-03-09       Impact factor: 4.379

7.  Complex Network Study of Solar Magnetograms.

Authors:  Víctor Muñoz; Eduardo Flández
Journal:  Entropy (Basel)       Date:  2022-05-26       Impact factor: 2.738

8.  A Climatology of Long-Duration High 2-MeV Electron Flux Periods in the Outer Radiation Belt.

Authors:  D Mourenas; O V Agapitov; A V Artemyev; X-J Zhang
Journal:  J Geophys Res Space Phys       Date:  2022-08-15       Impact factor: 3.111

  8 in total

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