A nonlinear solar cycle model with potential for forecasting on a decadal time scale

Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

9

Forecasting, Nonlinear Systems, Solar Cycles, Stellar Models, Sunspot Cycle, Frequency Modulation, Oscillators, Skewness, Solar System

Scientific paper

This paper describes a novel nonlinear oscillator model of the sunspot cycle which accurately reproduces several of the observed qualitative and quantitative characteristics of the real cycle including the long term amplitude modulation pattern. The model accounts for 96 percent of cycle peak height variance over the period 1859 to 1980. The aim of this work is to assess the potential of such models for forecasting solar activity on decadal and possibly longer time scales. Longer term forecasts may have practical economic significance because of the growing evidence for relationships between solar cycle variations and terrestrial weather and climatic variations (Bandeen and Moran, 1975; Currie, 1980; Williams, 1981). The model predicts that cycle 22 will have an annual mean peak amplitude in the range 25 to 45, the lowest peak activity for 260 yr.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

A nonlinear solar cycle model with potential for forecasting on a decadal time scale does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A nonlinear solar cycle model with potential for forecasting on a decadal time scale, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A nonlinear solar cycle model with potential for forecasting on a decadal time scale will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-938167

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.