GEOMAGNETIC STORM STUDY USING GPS OBSERVATION DATA

• Main Author: Made Randhyan Brahmandita (NIM : 15113063), I
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/22536
• Institution: Institut Teknologi Bandung

The diverse characteristics of the ionosphere cause disruption of electromagnetic waves passing through the layer such as GPS signals that impact on the deterioration of the given coordinates due to the bias effect on the size distance values from the receiver to the satellites. The bias effect depends on the concentration of electrons along the GPS signal path and the frequency of the signal (Abidin, 2007). The content of electrons in the ionosphere layer is influenced by solar activity, one of which is geomagnetic storm. Therefore, the modeling of this physical phenomenon is necessary to know the spread of changes in the value of electrons in the ionosphere. Several ways of capturing data in the current ionosphere layer such as ionosonde and air balloons are ineffective because of their high cost. GPS is considered to have great potential to study the characteristics of the ionosphere because it is easy, efficient, and economical (Abidin, 2007). Geomagnetic storm modeling with geometrically linear combination method of continuous GPS observation data scattered throughout Indonesia has been done to determine the impact of St Patrick's Day geomagnetic storm known as the strongest storm during the 24th solar cycle of the Indonesian ionosphere. Based on the results of data processing, the value of TEC after geomagnetic storm with the highest intensity based on the index value of the lowest dst index, are depleted. This storm caused phase shifting at the peak of the daily TEC about 3 to 4 hours earlier than the other day. Judging from the latitudinal and longitudinal effects, it was found that the storm moved north-east at a speed of 4,263 &#778; / hr. <br /> <br />