Use of sparse magnetometer measurements for geomagnetically induced current model validation

This paper focuses on interpolating the magnetic field data to improve the model validation for geomagnetically induced currents (GICs). The available magnetic data is very sparse over the Earth's surface and readings of a distant magnetometer are often used for model validation. This paper proposes an interpolation technique that considers the magnetic field inherent characteristics. The real magnetic data over a three-year period is analyzed and the dependencies between the observatories are extracted. These interdependencies are eventually incorporated in the interpolation and higher performance is achieved.