Non-Linear Analysis of Ground-Based Magnetometer Data for Regional Correlation and Space Wx Risk Assesment

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Monday, 3 February 2014
Hall C3 (The Georgia World Congress Center )
Joseph DiTommaso, University of Alaska, Fairbanks, Fairbanks, AK; and D. Newman

The ground-based magnetometer network is one of the most useful and ubiquitous tools for studying the behavior of the magnetosphere and the impacts of space weather. With stations ranging from the Arctic to India, magnetometer installations have collected a large and extensive data set of geomagnetic measurements at the Earth's surface. This data set provides an interesting opportunity to investigate signals of the magnetic field at varying latitudes for different events and timescales. Underlying complex dynamical relationships may be evident in these data sets, and as such could be utilized to understand regional correlations. To investigate these relations, several analyses including Probability Distribution Function (PDF) , Hurst R/S test, and cross-correlation analysis are used, searching for heavy tail signals for large impact events. If these correlations are observed, it may be possible to extrapolate prediction of large event frequencies for low latitude, high population areas using the more active and sampled data of the northern latitudes. This poster demonstrates analyses of several stations across high and low magnetic latitude over the past two decades with as well as an analysis of the 80+ year record at the Colaba Magnetic Observatory in Alibag, India.