Sunspot Numbers, 1610-1985

Sunspot Numbers, 1610-1985 PDF Author:
Publisher:
ISBN:
Category : Sun-spots
Languages : en
Pages : 132

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Sunspot Numbers, 1610-1985

Sunspot Numbers, 1610-1985 PDF Author:
Publisher:
ISBN:
Category : Sun-spots
Languages : en
Pages : 132

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Sunspot Numbers: 1610-1985

Sunspot Numbers: 1610-1985 PDF Author: World Data Center A for Solar-Terrestrial Physics
Publisher:
ISBN:
Category :
Languages : en
Pages : 112

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Sunspot Numbers, 1610-1985

Sunspot Numbers, 1610-1985 PDF Author: John A. McKinnon
Publisher:
ISBN:
Category : Sunspots
Languages : en
Pages : 112

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Sunspot Numbers, 1610-1985

Sunspot Numbers, 1610-1985 PDF Author: John A. McKinnon
Publisher:
ISBN:
Category : Sunspots
Languages : en
Pages : 112

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Sunspot numbers : based on "The sunspot-activity in the years 1610 - 1960". [Hauptbd.]. 1610 - 1985

Sunspot numbers : based on Author: World Data Centre for Solar Terrestrial Physics
Publisher:
ISBN:
Category :
Languages : en
Pages : 112

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World Data Center A for Solar-Terrestrial Physics

World Data Center A for Solar-Terrestrial Physics PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Energy Research Abstracts

Energy Research Abstracts PDF Author:
Publisher:
ISBN:
Category : Power resources
Languages : en
Pages : 644

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Scientific and Technical Aerospace Reports

Scientific and Technical Aerospace Reports PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 964

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Report UAG.

Report UAG. PDF Author:
Publisher:
ISBN:
Category : Atmosphere, Upper
Languages : en
Pages : 516

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The Origin and Dynamics of Solar Magnetism

The Origin and Dynamics of Solar Magnetism PDF Author: M.J. Thompson
Publisher: Springer Science & Business Media
ISBN: 1441902392
Category : Science
Languages : en
Pages : 424

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Starting in 1995 numerical modeling of the Earth’s dynamo has ourished with remarkable success. Direct numerical simulation of convection-driven MHD- ow in a rotating spherical shell show magnetic elds that resemble the geomagnetic eld in many respects: they are dominated by the axial dipole of approximately the right strength, they show spatial power spectra similar to that of Earth, and the magnetic eld morphology and the temporal var- tion of the eld resembles that of the geomagnetic eld (Christensen and Wicht 2007). Some models show stochastic dipole reversals whose details agree with what has been inferred from paleomagnetic data (Glatzmaier and Roberts 1995; Kutzner and Christensen 2002; Wicht 2005). While these models represent direct numerical simulations of the fundamental MHD equations without parameterized induction effects, they do not match actual pla- tary conditions in a number of respects. Speci cally, they rotate too slowly, are much less turbulent, and use a viscosity and thermal diffusivity that is far too large in comparison to magnetic diffusivity. Because of these discrepancies, the success of geodynamo models may seem surprising. In order to better understand the extent to which the models are applicable to planetary dynamos, scaling laws that relate basic properties of the dynamo to the fundamental control parameters play an important role. In recent years rst attempts have been made to derive such scaling laws from a set of numerical simulations that span the accessible parameter space (Christensen and Tilgner 2004; Christensen and Aubert 2006).