Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Predicting solar cycle 24 with a solar dynamo model.

Arnab Rai Choudhuri1, Piyali Chatterjee, Jie Jiang

  • 1Department of Physics, Indian Institute of Science, Bangalore-560012, India. arnab@physics.iisc.ernet.in

Physical Review Letters
|May 16, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The FRS nomination of Sir Prafulla C. Ray and the correspondence of N. R. Dhar.

Notes and records of the Royal Society of London·2019
Same author

Effect of ABCB1 Genotypes on the Pharmacokinetics and Clinical Outcomes of New Oral Anticoagulants: A Systematic Review and Meta-analysis.

Current pharmaceutical design·2018
Same author

Stable Voltage Cutoff Cycle Cathode with Tunable and Ordered Porous Structure for Li-O<sub>2</sub> Batteries.

Small (Weinheim an der Bergstrasse, Germany)·2018
Same author

[Experience of Interventional Thrombolysis Therapy for Massive Pulmonary Thrombosis Embolism after Video-assisted Thoracoscopic Surgery for Lung Cancer].

Zhongguo fei ai za zhi = Chinese journal of lung cancer·2018
Same author

Benzophenanthridine alkaloids from the roots of <i>Thalictrum microgynum</i> Lecoy.ex Oliv.

Natural product research·2018
Same author

Association of miR-146a Gene Polymorphism at loci rs2910164 G/C, rs57095329 A/G, and rs6864584 T/C with Susceptibility to Kawasaki Disease in Chinese Children.

Pediatric cardiology·2018
Same journal

Erratum: Bacterial Turbulence at Compressible Fluid Interfaces [Phys. Rev. Lett. 136, 138301 (2026)].

Physical review letters·2026
Same journal

Unveiling Light-Quark Yukawa Flavor Structure via Dihadron Fragmentation at Lepton Colliders.

Physical review letters·2026
Same journal

Adaptable Route to Fast Coherent State Transport via Bang-Bang-Bang Protocols.

Physical review letters·2026
Same journal

Topological Transition and Emergence of Elasticity of Dislocation in Skyrmion Lattice: Beyond Kittel's Magnetic-Polar Analogy.

Physical review letters·2026
Same journal

Pound-Drever-Hall Method for Superconducting-Qubit Readout.

Physical review letters·2026
Same journal

Coupling a ^{73}Ge Nuclear Spin to an Electrostatically Defined Quantum Dot in Silicon.

Physical review letters·2026
See all related articles

The upcoming solar cycle 24 is predicted to be weaker than the previous one. Our solar dynamo model, using polar magnetic field data, accurately simulated past solar activity, forecasting a 35% reduction in cycle 24's strength.

Area of Science:

  • * Solar physics
  • * Astrophysics
  • * Space weather prediction

Background:

  • * The strength of the solar cycle, specifically solar cycle 24, is a subject of ongoing scientific debate.
  • * Solar cycles are driven by complex internal dynamo mechanisms within the Sun.

Purpose of the Study:

  • * To model past solar cycles using observational data.
  • * To predict the strength of the upcoming solar cycle 24.

Main Methods:

  • * Development and application of a solar dynamo model.
  • * Input of observational data on the Sun's polar magnetic field for cycles 21-23.
  • * Validation of the model against observed sunspot numbers.

Main Results:

Related Experiment Videos

  • * The solar dynamo model successfully reproduced the sunspot numbers for solar cycles 21-23.
  • * The model predicts solar cycle 24 will be approximately 35% weaker than solar cycle 23.

    • Conclusions:

    • * The study provides a quantitative prediction for the strength of solar cycle 24.
    • * The findings suggest a weaker solar maximum for the upcoming cycle, impacting space weather forecasts.