A Kalman Filter Technique for Improving Medium-Term Predictions of the Sunspot Number
- 1 December 2011
- journal article
- Published by Springer Nature in Solar Physics
- Vol. 277 (2) , 397-416
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- Estimation and Prediction of Difficult Formalized Processes of Different Physical NatureJournal of Long-Term Effects of Medical Implants, 2008
- Solar Cycle Prediction: Combining Precursor Methods with McNish and Lincoln TechniqueSolar Physics, 2006
- Solar cycle forecasting: A nonlinear dynamics approachAstronomy & Astrophysics, 2001
- Longterm Prediction of Solar Activity Using the Combined MethodSolar Physics, 1999
- Time series, neural networks and the future of the SunNew Astronomy Reviews, 1998
- Comparison of neural network and McNish and Lincoln methods for the prediction of the smoothed sunspot indexSolar Physics, 1996
- Prediction of solar and geomagnetic activity data using neural networksJournal of Geophysical Research, 1995
- The shape of the sunspot cycleSolar Physics, 1994
- A New Approach to Linear Filtering and Prediction ProblemsJournal of Basic Engineering, 1960