GEOMAGNETIC STORM STUDY USING GPS OBSERVATION DATA

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 depe...

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Main Author: Made Randhyan Brahmandita (NIM : 15113063), I
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/22536
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:22536
spelling id-itb.:225362017-10-09T10:51:12ZGEOMAGNETIC STORM STUDY USING GPS OBSERVATION DATA Made Randhyan Brahmandita (NIM : 15113063), I Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/22536 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 /> text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description 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 />
format Final Project
author Made Randhyan Brahmandita (NIM : 15113063), I
spellingShingle Made Randhyan Brahmandita (NIM : 15113063), I
GEOMAGNETIC STORM STUDY USING GPS OBSERVATION DATA
author_facet Made Randhyan Brahmandita (NIM : 15113063), I
author_sort Made Randhyan Brahmandita (NIM : 15113063), I
title GEOMAGNETIC STORM STUDY USING GPS OBSERVATION DATA
title_short GEOMAGNETIC STORM STUDY USING GPS OBSERVATION DATA
title_full GEOMAGNETIC STORM STUDY USING GPS OBSERVATION DATA
title_fullStr GEOMAGNETIC STORM STUDY USING GPS OBSERVATION DATA
title_full_unstemmed GEOMAGNETIC STORM STUDY USING GPS OBSERVATION DATA
title_sort geomagnetic storm study using gps observation data
url https://digilib.itb.ac.id/gdl/view/22536
_version_ 1821120802507980800