K. Schatten (1991) recently developed a method for combining his prediction model with our chaotic model. The philosophy behind this combined model and his method of combination is explained. Because the Schatten solar prediction model (KS) uses a dynamo to mimic solar dynamics, accurate prediction is limited to long-term solar behavior (10 to 20 years). The Chaotic prediction model (SA) uses the recently developed techniques of nonlinear dynamics to predict solar activity. It can be used to predict activity only up to the horizon. In theory, the chaotic prediction should be several orders of magnitude better than statistical predictions up to that horizon; beyond the horizon, chaotic predictions would theoretically be just as good as stati...
The pioneering study of Lorenz in 1963 and a follow-up presentation in 1972 changed our view on the ...
The "Solar Dynamo" method of solar activity forecasting is reviewed. Known generically as a 'precurs...
It is now generally recognized that very simple dynamical systems can produce apparently random beha...
This paper presents numerical techniques for constructing nonlinear predictive models to forecast so...
The mathematical structure of the programs written to construct a nonlinear predictive model to fore...
Key drivers of solar weather and mid-term solar weather are reviewed by considering a selection of ...
The problem of prediction of a given time series is examined on the basis of recent nonlinear dynam...
The striking fractal geometry of strange attractors underscores the generative nature of chaos: like...
The physical basis of chaos in the solar system is now better understood: in all cases investigated ...
In the past, it has been postulated that the irregular dynamics of the solar cycle may embed a low o...
Four archetypal chaotic maps are used to generate the noise-free synthetic datasets for the forecast...
Context. The study of solar activity over long time intervals using proxies. Aims. The peri...
Time series corresponding to F 10.7 solar flux, AE index and the ionospheric critical frequency f0F2...
The weather is a chaotic system. Small errors in the initial conditions of a forecast grow rapidly a...
Deterministic chaos is widely thought to place the ultimate limit on our ability to forecast. While ...
The pioneering study of Lorenz in 1963 and a follow-up presentation in 1972 changed our view on the ...
The "Solar Dynamo" method of solar activity forecasting is reviewed. Known generically as a 'precurs...
It is now generally recognized that very simple dynamical systems can produce apparently random beha...
This paper presents numerical techniques for constructing nonlinear predictive models to forecast so...
The mathematical structure of the programs written to construct a nonlinear predictive model to fore...
Key drivers of solar weather and mid-term solar weather are reviewed by considering a selection of ...
The problem of prediction of a given time series is examined on the basis of recent nonlinear dynam...
The striking fractal geometry of strange attractors underscores the generative nature of chaos: like...
The physical basis of chaos in the solar system is now better understood: in all cases investigated ...
In the past, it has been postulated that the irregular dynamics of the solar cycle may embed a low o...
Four archetypal chaotic maps are used to generate the noise-free synthetic datasets for the forecast...
Context. The study of solar activity over long time intervals using proxies. Aims. The peri...
Time series corresponding to F 10.7 solar flux, AE index and the ionospheric critical frequency f0F2...
The weather is a chaotic system. Small errors in the initial conditions of a forecast grow rapidly a...
Deterministic chaos is widely thought to place the ultimate limit on our ability to forecast. While ...
The pioneering study of Lorenz in 1963 and a follow-up presentation in 1972 changed our view on the ...
The "Solar Dynamo" method of solar activity forecasting is reviewed. Known generically as a 'precurs...
It is now generally recognized that very simple dynamical systems can produce apparently random beha...