GNSS-based Observations and Simulations of Spectral Scintillation Indices in the Arctic Ionosphere
During disturbed times, ionospheric scintillations can be severe and adversely impact satellite-based positioning and radio transmissions. The scintillation occurs in the amplitude, phase, polarization, and angle of arrival of the signal. Precise observation, classification, modeling, forecasting, a...
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ftdtupubl:oai:pure.atira.dk:publications/c251921b-168b-482d-b644-f48ed1fbe02e 2023-05-15T14:25:01+02:00 GNSS-based Observations and Simulations of Spectral Scintillation Indices in the Arctic Ionosphere Durgonics, Tibor Hoeg, Per von Benzon, Hans-Henrik Komjathy, Attila 2015 application/pdf https://orbit.dtu.dk/en/publications/c251921b-168b-482d-b644-f48ed1fbe02e https://backend.orbit.dtu.dk/ws/files/117884451/GNSS_based_Observations_and_Simulations_of_Spectral_Scintillation_Indices_in_the_Arctic_Ionosphere_2_.pdf https://agu.confex.com/agu/fm15/meetingapp.cgi/Paper/69428 eng eng info:eu-repo/semantics/openAccess Durgonics , T , Hoeg , P , von Benzon , H-H & Komjathy , A 2015 , ' GNSS-based Observations and Simulations of Spectral Scintillation Indices in the Arctic Ionosphere ' , 2015 AGU Fall Meeting , San Francisco , United States , 14/12/2015 - 18/12/2015 . < https://agu.confex.com/agu/fm15/meetingapp.cgi/Paper/69428 > conferenceObject 2015 ftdtupubl 2022-08-14T08:23:04Z During disturbed times, ionospheric scintillations can be severe and adversely impact satellite-based positioning and radio transmissions. The scintillation occurs in the amplitude, phase, polarization, and angle of arrival of the signal. Precise observation, classification, modeling, forecasting, and development of data-driven methodologies to accurately localize ionospheric irregularities and simulate GNSS scintillation signals are highly desired. Ionospheric scintillations have traditionally been quantified by amplitude (S4) and phase scintillations (σφ). Our study focuses on the Arctic, where scintillations, especially phase scintillations, are prominent. We will present observations acquired from a network of Greenlandic GNSS stations, including 2D amplitude and phase scintillation index maps for representative calm and storm periods. In addition to the traditional indices described above, we are exploring a set of indices derived from the power spectra of the signals. The observed corner frequency of the power spectrum is a function of the Fresnel radius and the drift speed of the irregularities, while the slope of the power spectrum is related to the Fresnel oscillations. We will demonstrate how spectral characteristics of the scintillations act under large total electron content (TEC) gradients and how physical parameters can be extracted from the power spectra, and will present how these parameters of the corner frequencies and power spectra slopes vary during ionospheric storms. The observations will then be compared to properties of simulated GNSS signals computed by the Fast Scintillation Mode (FSM). The FSM was developed to simulate ionospheric scintillations under different geophysical conditions, and is used to simulate GNSS signals with known scintillation characteristics. This comparison could lead to a better understanding of the observed ionospheric state. Conference Object Arctic Arctic greenlandic Technical University of Denmark: DTU Orbit Arctic |
institution |
Open Polar |
collection |
Technical University of Denmark: DTU Orbit |
op_collection_id |
ftdtupubl |
language |
English |
description |
During disturbed times, ionospheric scintillations can be severe and adversely impact satellite-based positioning and radio transmissions. The scintillation occurs in the amplitude, phase, polarization, and angle of arrival of the signal. Precise observation, classification, modeling, forecasting, and development of data-driven methodologies to accurately localize ionospheric irregularities and simulate GNSS scintillation signals are highly desired. Ionospheric scintillations have traditionally been quantified by amplitude (S4) and phase scintillations (σφ). Our study focuses on the Arctic, where scintillations, especially phase scintillations, are prominent. We will present observations acquired from a network of Greenlandic GNSS stations, including 2D amplitude and phase scintillation index maps for representative calm and storm periods. In addition to the traditional indices described above, we are exploring a set of indices derived from the power spectra of the signals. The observed corner frequency of the power spectrum is a function of the Fresnel radius and the drift speed of the irregularities, while the slope of the power spectrum is related to the Fresnel oscillations. We will demonstrate how spectral characteristics of the scintillations act under large total electron content (TEC) gradients and how physical parameters can be extracted from the power spectra, and will present how these parameters of the corner frequencies and power spectra slopes vary during ionospheric storms. The observations will then be compared to properties of simulated GNSS signals computed by the Fast Scintillation Mode (FSM). The FSM was developed to simulate ionospheric scintillations under different geophysical conditions, and is used to simulate GNSS signals with known scintillation characteristics. This comparison could lead to a better understanding of the observed ionospheric state. |
format |
Conference Object |
author |
Durgonics, Tibor Hoeg, Per von Benzon, Hans-Henrik Komjathy, Attila |
spellingShingle |
Durgonics, Tibor Hoeg, Per von Benzon, Hans-Henrik Komjathy, Attila GNSS-based Observations and Simulations of Spectral Scintillation Indices in the Arctic Ionosphere |
author_facet |
Durgonics, Tibor Hoeg, Per von Benzon, Hans-Henrik Komjathy, Attila |
author_sort |
Durgonics, Tibor |
title |
GNSS-based Observations and Simulations of Spectral Scintillation Indices in the Arctic Ionosphere |
title_short |
GNSS-based Observations and Simulations of Spectral Scintillation Indices in the Arctic Ionosphere |
title_full |
GNSS-based Observations and Simulations of Spectral Scintillation Indices in the Arctic Ionosphere |
title_fullStr |
GNSS-based Observations and Simulations of Spectral Scintillation Indices in the Arctic Ionosphere |
title_full_unstemmed |
GNSS-based Observations and Simulations of Spectral Scintillation Indices in the Arctic Ionosphere |
title_sort |
gnss-based observations and simulations of spectral scintillation indices in the arctic ionosphere |
publishDate |
2015 |
url |
https://orbit.dtu.dk/en/publications/c251921b-168b-482d-b644-f48ed1fbe02e https://backend.orbit.dtu.dk/ws/files/117884451/GNSS_based_Observations_and_Simulations_of_Spectral_Scintillation_Indices_in_the_Arctic_Ionosphere_2_.pdf https://agu.confex.com/agu/fm15/meetingapp.cgi/Paper/69428 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arctic greenlandic |
genre_facet |
Arctic Arctic greenlandic |
op_source |
Durgonics , T , Hoeg , P , von Benzon , H-H & Komjathy , A 2015 , ' GNSS-based Observations and Simulations of Spectral Scintillation Indices in the Arctic Ionosphere ' , 2015 AGU Fall Meeting , San Francisco , United States , 14/12/2015 - 18/12/2015 . < https://agu.confex.com/agu/fm15/meetingapp.cgi/Paper/69428 > |
op_rights |
info:eu-repo/semantics/openAccess |
_version_ |
1766297460529954816 |