alexa Determination of the Earths Magnetic Field Gradients fr
ISSN: 2168-9792

Journal of Aeronautics & Aerospace Engineering
Open Access

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Research Article

Determination of the Earths Magnetic Field Gradients from Satellites Measurements and Their Inversion over the Kursk Magnetic Anomaly

Kis KI1, Taylor PT2* and Wittmann G3

1Geophysics and Space Sciences Department, Loránd Eötvös University, 1117 Budapest Pázmány Péter Sétány 1/c. Hungary

2Planetary Geodynamics Laboratory, NASA/GSFC, Greenbelt, MD 20771, USA

3MOL Hungarian Gas and Oil Company, 1117 Budapest, Október Huszonharmadika u. 18. Hungary

*Corresponding Author:
Taylor PT
Planetary Geodynamics Laboratory
NASA/ GSFC, Greenbelt, MD 20771, USA
Tel: +1-650-268-9744
E-mail: [email protected] nasa.gov

Received date: June 09, 2016; Accepted date: June 29, 2016; Published date: June 31, 2016

Citation: Kis KI, Taylor PT, Wittmann G (2016) Determination of the Earth’s Magnetic Field Gradients from Satellites Measurements and Their Inversion over the Kursk Magnetic Anomaly. J Aeronaut Aerospace Eng 5:164. doi:10.4172/2168-9792.1000164

Copyright: © 2016 Kis KI, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

We computed magnetic field gradients at satellite altitude, over Europe with emphasis on the Kursk Magnetic Anomaly (KMA). They were calculated using the CHAMP satellite total magnetic anomalies. Our computations were done to determine how the magnetic field observations data from the new ESA/Swarm satellites could be utilized to determine the structure of the magnetization of the Earth’s crust, especially in the region of the KMA. Ten years of CHAMP data were used to simulate the Swarm data. An initial east magnetic anomaly gradient map of Europe was computed and subsequently the North, East and Vertical magnetic gradients for the KMA region were calculated. The vertical gradient of the KMA was also determined using Hilbert transforms. Inversion of the total KMA was derived using Simplex and Simulated Annealing algorithms. The depths of the upper and lower boundaries are calculated downward from the 324 km elevation of the satellite. Our resulting inversion depth model is a horizontal quadrangle. The maximum errors are determined by the model parameter errors.

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