Data based quest for solar wind-magnetosphere coupling function
The NARMAX (Nonlinear Autoregressive Moving Average with eXogenous inputs) modeling based approach is used to identify the relations for Solar wind Magnetosphere Coupling Functions in order to identify the one with the best Dst index forecasting abilities. It is argued that the Error Reduction Ratio...
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| Veröffentlicht in: | Geophysical research letters 2010-12, Vol.37 (24), p.np-n/a |
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| creator | Balikhin, M. A. Boynton, R. J. Billings, S. A. Gedalin, M. Ganushkina, N. Coca, D. Wei, H. |
| description | The NARMAX (Nonlinear Autoregressive Moving Average with eXogenous inputs) modeling based approach is used to identify the relations for Solar wind Magnetosphere Coupling Functions in order to identify the one with the best Dst index forecasting abilities. It is argued that the Error Reduction Ratio which is a cornerstone concept in the NARMAX system identification methodology is more appropriate for such nonlinear system as the terrestrial magnetosphere than correlation function analysis which has often been used in the past. It is shown that the identified relationships for coupling functions are proportional to , where is the clock angle, and not to as was suggested in earlier studies. It is shown that the factor appears naturally within the analytical model of Kan and Lee (1979) as the dependence on the clock angle. |
| doi_str_mv | 10.1029/2010GL045733 |
| format | Article |
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A.</au><au>Boynton, R. J.</au><au>Billings, S. A.</au><au>Gedalin, M.</au><au>Ganushkina, N.</au><au>Coca, D.</au><au>Wei, H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Data based quest for solar wind-magnetosphere coupling function</atitle><jtitle>Geophysical research letters</jtitle><addtitle>Geophys. Res. Lett</addtitle><date>2010-12</date><risdate>2010</risdate><volume>37</volume><issue>24</issue><spage>np</spage><epage>n/a</epage><pages>np-n/a</pages><issn>0094-8276</issn><eissn>1944-8007</eissn><coden>GPRLAJ</coden><abstract>The NARMAX (Nonlinear Autoregressive Moving Average with eXogenous inputs) modeling based approach is used to identify the relations for Solar wind Magnetosphere Coupling Functions in order to identify the one with the best Dst index forecasting abilities. 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| ispartof | Geophysical research letters, 2010-12, Vol.37 (24), p.np-n/a |
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| source | Wiley-Blackwell AGU Digital Library; Wiley Online Library Journals Frontfile Complete; Wiley Online Library Free Content; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Atmospheric sciences Clocks Complex systems Dynamical systems Earth sciences Earth, ocean, space Exact sciences and technology Geophysics Joining Magnetism Mathematical analysis Mathematical models Nonlinear systems Nonlinearity Scientific apparatus & instruments solar wind-magnetosphere coupling System identification |
| title | Data based quest for solar wind-magnetosphere coupling function |
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