The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Using Dynamo Theory to predict the sunspot number during Solar Cycle 21
Abstract
On physical grounds it is suggested that the sun's polar field strength near a solar minimum is closely related to the following cycle's solar activity. Four methods of estimating the sun's polar magnetic field strength near solar minimum are employed to provide an estimate of cycle 21's yearly mean sunspot number at solar maximum of 140 ± 20. We think of this estimate as a first order attempt to predict the cycle's activity using one parameter of physical importance based upon dynamo theory.
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Citations
Cites
The Topology of the Sun's Magnetic Field and the 22-YEAR Cycle.
Babcock, H. W. (1961) · The Astrophysical Journal · doi:10.1086/147060 · Cited by 1,479
Cited by
Hathaway, D. H. (2015) · Living Reviews in Solar Physics · doi:10.1007/lrsp-2015-4 · Cited by 1,180
Dynamo Models of the Solar Cycle
Charbonneau, P. (2010) · Living Reviews in Solar Physics · doi:10.12942/lrsp-2010-3 · Cited by 649
Sunspot cycle 24: Smallest cycle in 100 years?
Svalgaard, L., Cliver, E. W., & Kamide, Y. (2005) · Geophysical Research Letters · doi:10.1029/2004gl021664 · Cited by 391
Self-citation
Metadata
- Authors
- Schatten, K. H., Scherrer, P. H., Svalgaard, L., & Wilcox, J. M.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 1978-05
- Volume
- 5
- Issue
- 5
- Pages
- 411-414
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W2041890117
- Cited by
- 327
- References
- 1
- FWCI
- 3.78
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Using Dynamo Theory to predict the sunspot number during Solar Cycle 21. https://app.cochat.ai/papers/10.1029/gl005i005p00411
- The paper
- Schatten, K. H., Scherrer, P. H., Svalgaard, L., & Wilcox, J. M. (1978). Using Dynamo Theory to predict the sunspot number during Solar Cycle 21. Geophysical Research Letters. https://doi.org/10.1029/gl005i005p00411
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
