Published January 1, 1982
| Version v1
Journal article
Developing forecasting charts for sunspot numbers
Creators
- 1. Department of Mechanical and Industrial Engineering, University of Illinois, Urbana, Illinois 61801
Description
A new statistical modeling approach is used to fit models to 200 years of sunspot data and the adequate models for yearly, monthly, and daily sunspot numbers are employed to obtain the minimum mean squared error forecasts. The analysis of new models revealed a long-term 76-year period, a short-term 27-year period, and a 2.5-year period due to stratospheric winds in addition to a commonly known 11-year periodicity of the sunspots. The forecasting charts are developed in a format that can be easily read to obtain the long-term (yearly average) and short-term (daily average) predictions of sunspot numbers
Additional details
Publishing Information
- Journal Title
- J. Geophys. Res.
- Journal Volume
- 87
- Journal Issue
- A1
- Series
- J. Geophys. Res.
- Journal Page Range
- 9-16
- ISSN
- 0022-1406
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 14722456
- Subject category
- S79: ASTROPHYSICS, COSMOLOGY AND ASTRONOMY;
- Descriptors DEI
- FORECASTING; MATHEMATICAL MODELS; SUNSPOTS; TIME-SERIES ANALYSIS
- Descriptors DEC
- MATHEMATICS; SOLAR ACTIVITY; STATISTICS