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<p align="justify">The ionosphere causes disruption of any electromagnetic wave, including the Global Positioning System (GPS) signals, that passes through it. The GPS signals will be deteriorated and thus the observed distance from satellite to receiver will not be accurate, which i...
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id-itb.:279962018-07-31T13:26:31Z#TITLE_ALTERNATIVE# Made Randhyan Brahmandita (15113063), I Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/27996 <p align="justify">The ionosphere causes disruption of any electromagnetic wave, including the Global Positioning System (GPS) signals, that passes through it. The GPS signals will be deteriorated and thus the observed distance from satellite to receiver will not be accurate, which in turn the calculated coordinates will be inaccurate. The ionospheric effects on GPS largely depend on the concentration of electrons along the GPS signal path and the frequency of the signal. The content of electrons in the ionospheric layers is influenced by solar activity that might produce geomagnetic storms. Therefore, the modeling of these storms is necessary to know the spread of changes of the ionospheric electrons density. There are several techniques of observing the ionospheric layers such as ionosonde and air balloons, however these techniques are ineffective because of their high cost. GPS is considered to have a great potential to study the characteristics of the ionosphere because it is easy, efficient, and economical. Geomagnetic storm modeling using geometrically linear combination method of continuous GPS observation over the Indonesian region has been done to determine the impact of St Patrick's Day geomagnetic storm, which is known as the strongest storm during the 24th solar cycle. Based on the results of data processing, the values of total electron content (TEC) after geomagnetic storm with the highest intensity, according to he index value of the lowest dst index, are depleted. This storm caused phase shifting at the peak of the daily TEC of about 3 to 4 hours earlier than the other day. Investigations of the latitudinal and longitudinal effects indicate that the storm moved in the north-east direction at a speed of 4,263 ̊ / hr.<p align="justify"> text |
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<p align="justify">The ionosphere causes disruption of any electromagnetic wave, including the Global Positioning System (GPS) signals, that passes through it. The GPS signals will be deteriorated and thus the observed distance from satellite to receiver will not be accurate, which in turn the calculated coordinates will be inaccurate. The ionospheric effects on GPS largely depend on the concentration of electrons along the GPS signal path and the frequency of the signal. The content of electrons in the ionospheric layers is influenced by solar activity that might produce geomagnetic storms. Therefore, the modeling of these storms is necessary to know the spread of changes of the ionospheric electrons density. There are several techniques of observing the ionospheric layers such as ionosonde and air balloons, however these techniques are ineffective because of their high cost. GPS is considered to have a great potential to study the characteristics of the ionosphere because it is easy, efficient, and economical. Geomagnetic storm modeling using geometrically linear combination method of continuous GPS observation over the Indonesian region has been done to determine the impact of St Patrick's Day geomagnetic storm, which is known as the strongest storm during the 24th solar cycle. Based on the results of data processing, the values of total electron content (TEC) after geomagnetic storm with the highest intensity, according to he index value of the lowest dst index, are depleted. This storm caused phase shifting at the peak of the daily TEC of about 3 to 4 hours earlier than the other day. Investigations of the latitudinal and longitudinal effects indicate that the storm moved in the north-east direction at a speed of 4,263 ̊ / hr.<p align="justify"> |
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Made Randhyan Brahmandita (15113063), I |
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Made Randhyan Brahmandita (15113063), I #TITLE_ALTERNATIVE# |
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Made Randhyan Brahmandita (15113063), I |
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