Titlebook: Magnetic Fields in the Solar System; Planets, Moons and S Hermann Lühr,Johannes Wicht,Matthias Holschneider Book 2018 Springer Internationa

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Hermann Lühr,Johannes Wicht,Matthias HolschneiderProvides a broad overview of magnetic fields in our solar system and the modern methods employed to unravel their complexity.Results from a research program involving four leading planetary science in

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,General Introduction and Scientific Summary of the German Priority Program “PlanetMag”,ciplinary approach combines newly developed tools for data acquisition and analysis, computer simulations of planetary interiors and dynamos, models of solar wind interaction, measurement of terrestrial rocks and meteorites, and laboratory investigations. The following chapters represent a selection

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Interannual Fluctuations of the Core Angular Momentum Inferred from Geomagnetic Field Models,ic signal of the interannual core dynamics is found to be small, which makes an observational detection of interannual variations of the core flow and the associated oscillations of the core angular momentum (CAM) difficult. However, it has been shown that the phase of the interannual oscillation is

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Laboratory Experiments and Numerical Simulations on Magnetic Instabilities,lds can play an active role in cosmic structure formation by destabilizing rotational flows that would be otherwise hydrodynamically stable. For a long time, both hydromagnetic dynamo action and magnetically triggered flow instabilities had been the subject of purely theoretical research. Meanwhile,

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Modeling Magnetospheric Fields in the Jupiter System, planets in the solar system, but also around extrasolar planets. Jupiter’s large internal dynamo magnetic field generates a gigantic magnetosphere, which in contrast to Earth’s magnetosphere is strongly rotational driven and possesses large plasma sources located deeply within the magnetosphere. Th

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Empirical Modeling of Planetary Magnetospheres in Response to Solar Wind Dynamics Using EOF Analysi polynomial and harmonic functions. In comparison with predefined basis functions, the empirical orthogonal basis functions (EOFs) are constructed from the dataset according to the variance distribution, and typically summarize the data into representative features. This chapter reviews comparativel

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