Identification of Nonlinear Processes in the Magnetospheric Dynamics and Forecasting of Dst Index
Boaghe, O.M., Balikhin , M.A., Billings, S.A. et al. (1 more author)
(1999)
Identification of Nonlinear Processes in the Magnetospheric Dynamics and Forecasting of Dst Index.
Research Report.
ACSE Research Report 761
.
Department of Automatic Control and Systems Engineering
Abstract
The NARMAX approach is used to analyse simultaneous measurements of the geomagnetic Dst index and VBs, the merging rate of the IMF and the geomagnetic field. The nonlinear discrete relation which describes the dynamics of the Dst index driven by VBs is identified directly from experimental measurements. This identified model is then used to forecast the evolution of the Dst index. Analysis of the identified model in the frequency domain provides information about the types of nonlinearities involved in the energy storage process in the magnetosphere. It is also shown how the nonlinear frequency response functions derived from the data can be used to validate theoretical models proposed to describe the evolution of the magnetosphere.
Metadata
Item Type:
Monograph
Authors/Creators:
Boaghe, O.M.
Balikhin , M.A.
Billings, S.A.
Alleyene, H.
Copyright, Publisher and Additional Information:
The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances.
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