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Ionospheric current source modeling and global geomagnetic induction using ground geomagnetic observatory data

October 1, 2015

Long-period global-scale electromagnetic induction studies of deep Earth conductivity are based almost exclusively on magnetovariational methods and require accurate models of external source spatial structure. We describe approaches to inverting for both the external sources and three-dimensional (3-D) conductivity variations and apply these methods to long-period (T≥1.2 days) geomagnetic observatory data. Our scheme involves three steps: (1) Observatory data from 60 years (only partly overlapping and with many large gaps) are reduced and merged into dominant spatial modes using a scheme based on frequency domain principal components. (2) Resulting modes are inverted for corresponding external source spatial structure, using a simplified conductivity model with radial variations overlain by a two-dimensional thin sheet. The source inversion is regularized using a physically based source covariance, generated through superposition of correlated tilted zonal (quasi-dipole) current loops, representing ionospheric source complexity smoothed by Earth rotation. Free parameters in the source covariance model are tuned by a leave-one-out cross-validation scheme. (3) The estimated data modes are inverted for 3-D Earth conductivity, assuming the source excitation estimated in step 2. Together, these developments constitute key components in a practical scheme for simultaneous inversion of the catalogue of historical and modern observatory data for external source spatial structure and 3-D Earth conductivity.

Publication Year 2015
Title Ionospheric current source modeling and global geomagnetic induction using ground geomagnetic observatory data
DOI 10.1002/2015JB012063
Authors Jin Sun, Anna Kelbert, G. D. Egbert
Publication Type Article
Publication Subtype Journal Article
Series Title Journal of Geophysical Research
Index ID 70182720
Record Source USGS Publications Warehouse
USGS Organization Geologic Hazards Science Center