Date of Award
3-28-2005
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Engineering Physics
First Advisor
Devin Della-Rose, PhD
Abstract
As the DoD's use of space and space assets increases, so does its need for timely and accurate predictions of space weather conditions. A good understanding of the data from satellites together with data from ground stations can help model and determine variations in the space environment. An accurate, real-time Disturbance storm-time (Dst) index would be a primary input into current and future space weather models The Dst index is a measure of geomagnetic activity used to assess the severity of magnetic storms. The index is based on the average value of the horizontal component of the Earth's magnetic field measured at four ground-based observatories. Use of the Dst as an index of storm strength is possible since the strength of the surface magnetic field at low latitudes is proportional to the energy content of the ring current, which increases during magnetic storms. Since ground-based magnetometers are not Air Force owned, development of a Dst index using the magnetometer from a DMSP satellite would remove the Air Force Weather Agency's reliance on outside Dst sources. This research presents a method to create a Dst-like index using the magnetometer of the DMSP F-15 satellite. The solar quiet signal was determined for this magnetometer, and the resulting "Dst" index was compared against the official World Data Center Dst for several magnetic storms. Statistical analysis was accomplished using the paired t-test which shows good agreement between the DMSP derived Dst and ground-based index. In all of the storms analyzed, statistical results; mean, standard deviation, confidence intervals, etc., were always an order of magnitude smaller than the presented factors for error.
AFIT Designator
AFIT-GAP-ENP-05-02
DTIC Accession Number
ADA437528
Recommended Citation
Bono, James M., "Development of a Defense Meteorological Satellite Program (DMSP) F-15 Disturbance Storm-time (Dst) Index" (2005). Theses and Dissertations. 3721.
https://scholar.afit.edu/etd/3721