2000
DOI: 10.1029/1999ja000218
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Dynamical range of the WINDMI model: An exploration of possible magnetospheric plasma states

Abstract: Abstract. This paper explores the dynamical range of the WINDMI model (Horton and Doxas, 1998]. Such low-dimensional models provide us with the tools to understand the relationships of simple physical quantities within the magnetosphere (such as energy deposition, macroscopic currents, cross-tail voltage, etc.) without the necessity of coping with the more complete but unwieldy models (MHD or particle codes, for example). The model is highly versatile: certain regions of the parameter space support stable fixe… Show more

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Cited by 13 publications
(12 citation statements)
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“…It was thus decided that the parameters a and s i would be fixed at acceptable values so as to prevent the instability from occurring. Further study of the dynamical modes of the WINDMI model can be found in Smith et al (2000) and Horton et al (2001). It was found that with a = 8 · 10 10 [A/(Pa) 1/2 ] and s i = 10 min the instability was avoided for the two storms analyzed here.…”
Section: Optimization With the Genetic Algorithmmentioning
confidence: 90%
“…It was thus decided that the parameters a and s i would be fixed at acceptable values so as to prevent the instability from occurring. Further study of the dynamical modes of the WINDMI model can be found in Smith et al (2000) and Horton et al (2001). It was found that with a = 8 · 10 10 [A/(Pa) 1/2 ] and s i = 10 min the instability was avoided for the two storms analyzed here.…”
Section: Optimization With the Genetic Algorithmmentioning
confidence: 90%
“…General properties of the four magnetosphere-ionosphere states S1, S2, S3, S4 are discussed in Ref. 3. A system that appears to conform closely to the known wave forms of the classic internally triggered type I substorms is defined by the following parameter values:…”
Section: The Windmi State S3mentioning
confidence: 99%
“…8, and the mathematical properties of the states described by the WINDMI model are given in Ref. 3. Here we focus on the system described as S3 in Smith et al: 3 a state that characterizes many features of the substorm dynamics as the solar wind dynamo voltage, V sw , increases from low to high values.…”
Section: The Windmi Substorm Modelmentioning
confidence: 99%
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“…We are optimizing the parameters of a nonlinear set of differential equations that have a wide variety of possible dynamics including limit cycles, chaotic attractors, and fixed points (Smith et al, 2000). Because this type of minimization, which involves optimizing the parameters of a nonlinear set of differential equations, is not a standard problem, three minimization approaches were used.…”
Section: Optimization Methodsmentioning
confidence: 99%