Date of Award

2017

Publisher

North Dakota State University

Document Type

Thesis

Degree Awarded

Master of Science (MS)

Department

Statistics

College

Science and Mathematics

Faculty Advisor

Hyun, Seung Won

Description

Geomagnetic disturbances caused by external solar events can create geomagnetically induced currents (GIC) throughout conducting networks of Earth’s surface. GIC can cause disruption that scales from minor to catastrophic. However, systems can implement preemptive measure to mitigate the effects of GICs with the use of GIC forecasting. Accurate forecasting is dependent on accurate modeling of Earth’s geomagnetic field. Unfortunately, it is not currently possible to have a measurement at every point of Earth’s field. Spatial interpolation methods can be implemented to fill in for the unmeasured space. The performances of two spatial interpolation methods, Inverse Distance Weighting and Kriging, are assessed to determine which better predicts the unmeasured space. Error testing shows both methods to be comparable, with the caveat of Kriging having a tighter precision on predictions.

Rights

NDSU Policy 190.6.2

Rights Link

https://www.ndsu.edu/fileadmin/policy/190.pdf

Handle Identifier

https://hdl.handle.net/10365/28680

Download

Share

COinS