Application of Data Assimilation Method for Predicting Solar Cycles
- 29 October 2008
- journal article
- research article
- Published by American Astronomical Society in The Astrophysical Journal
- Vol. 688 (1), L49-L52
- https://doi.org/10.1086/594999
Abstract
Despite the known general properties of the solar cycles, a reliable forecast of the 11 yr sunspot number variations is still a problem. The difficulties are caused by the apparent chaotic behavior of the sunspot numbers from cycle to cycle and by the influence of various turbulent dynamo processes, which we are far from understanding. For predicting the solar cycle properties we make an initial attempt to use the Ensemble Kalman Filter (EnKF), a data assimilation method, which takes into account uncertainties of a dynamo model and measurements, and allows us to estimate future observational data. We present the results of forecasting of the solar cycles obtained by the EnKF method in application to a low-mode nonlinear dynamical system modeling the solar α Ω -dynamo process with variable magnetic helicity. Calculations of the predictions for the previous sunspot cycles show a reasonable agreement with the actual data. This forecast model predicts that the next sunspot cycle will be significantly weaker (by ~30%) than the previous cycle, continuing the trend of low solar activity.Keywords
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This publication has 13 references indexed in Scilit:
- On Prediction of the Strength of the 11-Year Solar Cycle No. 24Solar Physics, 2008
- Solar Cycle Predictions based on Solar Activity at Different Solar LatitudesSolar Physics, 2007
- North–south asymmetry in solar activity: predicting the amplitude of the next solar cycleMonthly Notices of the Royal Astronomical Society: Letters, 2007
- Simulating and Predicting Solar Cycles Using a Flux‐Transport DynamoThe Astrophysical Journal, 2006
- Astrophysical magnetic fields and nonlinear dynamo theoryPhysics Reports, 2005
- Three-halves law in sunspot cycle shapeMonthly Notices of the Royal Astronomical Society, 1988
- Strong MHD helical turbulence and the nonlinear dynamo effectJournal of Fluid Mechanics, 1976
- A New Approach to Linear Filtering and Prediction ProblemsJournal of Basic Engineering, 1960
- Hydromagnetic Dynamo Models.The Astrophysical Journal, 1955
- The Sunspot Number SeriesNature, 1953