Tomographic imaging of ionospheric plasma bubbles based on GNSS and radio occultation measurements
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.3390/rs10101529 http://hdl.handle.net/11449/188251 |
Resumo: | Total electron content measurements given by the global navigation satellite system (GNSS) have successfully presented results to capture the signatures of equatorial plasma bubbles. In contrast, the correct reproduction of plasma depletions at electron density level is still a relevant challenge for ionospheric tomographic imaging. In this regard, this work shows the first results of a new tomographic reconstruction technique based on GNSS and radio-occultation data to map the vertical and horizontal distributions of ionospheric plasma bubbles in one of the most challenging conditions of the equatorial region. Twenty-three days from 2013 and 2014 with clear evidence of plasma bubble structures propagating through the Brazilian region were analyzed and compared with simultaneous observations of all-sky images in the 630.0 nm emission line of the atomic oxygen. The mean rate of success of the tomographic method was 37.1%, being more efficient near the magnetic equator, where the dimensions of the structures are larger. Despite some shortcomings of the reconstruction technique, mainly associated with ionospheric scintillations and the weak geometry of the ground-based GNSS receivers, both vertical and horizontal distributions were mapped over more than 30° in latitude, and have been detected in instances where the meteorological conditions disrupted the possibility of analyzing the OI 630 nm emissions. Therefore, the results revealed the proposed tomographic reconstruction as an efficient tool for mapping characteristics of the plasma bubble structures, which may have a special interest in SpaceWeather, Spatial Geodesy, and Telecommunications. |
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Tomographic imaging of ionospheric plasma bubbles based on GNSS and radio occultation measurements630.0 nm emission lineEquatorial ionosphereMultiplicative algebraic reconstruction techniqueOptical imagingPlasma bubble detectionTotal electron content mappingTotal electron content measurements given by the global navigation satellite system (GNSS) have successfully presented results to capture the signatures of equatorial plasma bubbles. In contrast, the correct reproduction of plasma depletions at electron density level is still a relevant challenge for ionospheric tomographic imaging. In this regard, this work shows the first results of a new tomographic reconstruction technique based on GNSS and radio-occultation data to map the vertical and horizontal distributions of ionospheric plasma bubbles in one of the most challenging conditions of the equatorial region. Twenty-three days from 2013 and 2014 with clear evidence of plasma bubble structures propagating through the Brazilian region were analyzed and compared with simultaneous observations of all-sky images in the 630.0 nm emission line of the atomic oxygen. The mean rate of success of the tomographic method was 37.1%, being more efficient near the magnetic equator, where the dimensions of the structures are larger. Despite some shortcomings of the reconstruction technique, mainly associated with ionospheric scintillations and the weak geometry of the ground-based GNSS receivers, both vertical and horizontal distributions were mapped over more than 30° in latitude, and have been detected in instances where the meteorological conditions disrupted the possibility of analyzing the OI 630 nm emissions. Therefore, the results revealed the proposed tomographic reconstruction as an efficient tool for mapping characteristics of the plasma bubble structures, which may have a special interest in SpaceWeather, Spatial Geodesy, and Telecommunications.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Department of Cartography Universidade Estadual Paulista (UNESP) Presidente PrudenteDepartment of Mathematics Universitat Politècnica de Catalunya-IOnospheric determination and Navigation based on Satellite and Terrestrial systems (UPC-IonSAT)Inst. d'Estudis Espacials de Catalunya-Grup de Recerca en Ciencies i Tech de l'Espai (IEEC-CRAE-CTE) Universitat Politècnica de Catalunya (UPC)Laboratory of Physics and Astronomy Institute of Research and Development (IP and D) Universidade do Vale do Paraíba (UNIVAP)Department of Cartography Universidade Estadual Paulista (UNESP) Presidente PrudenteFAPESP: 2015/15027-7Universidade Estadual Paulista (Unesp)Universitat Politècnica de Catalunya-IOnospheric determination and Navigation based on Satellite and Terrestrial systems (UPC-IonSAT)Universitat Politècnica de Catalunya (UPC)Universidade do Vale do Paraíba (UNIVAP)Prol, Fabricio dos Santos [UNESP]Hernández-Pajares, ManuelMuella, Marcio Tadeu de Assis HonoratoCamargo, Paulo de Oliveira [UNESP]2019-10-06T16:02:07Z2019-10-06T16:02:07Z2018-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/rs10101529Remote Sensing, v. 10, n. 10, 2018.2072-4292http://hdl.handle.net/11449/18825110.3390/rs101015292-s2.0-8505541725367907082475988130000-0001-7648-1291Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRemote Sensinginfo:eu-repo/semantics/openAccess2024-06-18T15:01:03Zoai:repositorio.unesp.br:11449/188251Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:02:54.935339Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Tomographic imaging of ionospheric plasma bubbles based on GNSS and radio occultation measurements |
title |
Tomographic imaging of ionospheric plasma bubbles based on GNSS and radio occultation measurements |
spellingShingle |
Tomographic imaging of ionospheric plasma bubbles based on GNSS and radio occultation measurements Prol, Fabricio dos Santos [UNESP] 630.0 nm emission line Equatorial ionosphere Multiplicative algebraic reconstruction technique Optical imaging Plasma bubble detection Total electron content mapping |
title_short |
Tomographic imaging of ionospheric plasma bubbles based on GNSS and radio occultation measurements |
title_full |
Tomographic imaging of ionospheric plasma bubbles based on GNSS and radio occultation measurements |
title_fullStr |
Tomographic imaging of ionospheric plasma bubbles based on GNSS and radio occultation measurements |
title_full_unstemmed |
Tomographic imaging of ionospheric plasma bubbles based on GNSS and radio occultation measurements |
title_sort |
Tomographic imaging of ionospheric plasma bubbles based on GNSS and radio occultation measurements |
author |
Prol, Fabricio dos Santos [UNESP] |
author_facet |
Prol, Fabricio dos Santos [UNESP] Hernández-Pajares, Manuel Muella, Marcio Tadeu de Assis Honorato Camargo, Paulo de Oliveira [UNESP] |
author_role |
author |
author2 |
Hernández-Pajares, Manuel Muella, Marcio Tadeu de Assis Honorato Camargo, Paulo de Oliveira [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universitat Politècnica de Catalunya-IOnospheric determination and Navigation based on Satellite and Terrestrial systems (UPC-IonSAT) Universitat Politècnica de Catalunya (UPC) Universidade do Vale do Paraíba (UNIVAP) |
dc.contributor.author.fl_str_mv |
Prol, Fabricio dos Santos [UNESP] Hernández-Pajares, Manuel Muella, Marcio Tadeu de Assis Honorato Camargo, Paulo de Oliveira [UNESP] |
dc.subject.por.fl_str_mv |
630.0 nm emission line Equatorial ionosphere Multiplicative algebraic reconstruction technique Optical imaging Plasma bubble detection Total electron content mapping |
topic |
630.0 nm emission line Equatorial ionosphere Multiplicative algebraic reconstruction technique Optical imaging Plasma bubble detection Total electron content mapping |
description |
Total electron content measurements given by the global navigation satellite system (GNSS) have successfully presented results to capture the signatures of equatorial plasma bubbles. In contrast, the correct reproduction of plasma depletions at electron density level is still a relevant challenge for ionospheric tomographic imaging. In this regard, this work shows the first results of a new tomographic reconstruction technique based on GNSS and radio-occultation data to map the vertical and horizontal distributions of ionospheric plasma bubbles in one of the most challenging conditions of the equatorial region. Twenty-three days from 2013 and 2014 with clear evidence of plasma bubble structures propagating through the Brazilian region were analyzed and compared with simultaneous observations of all-sky images in the 630.0 nm emission line of the atomic oxygen. The mean rate of success of the tomographic method was 37.1%, being more efficient near the magnetic equator, where the dimensions of the structures are larger. Despite some shortcomings of the reconstruction technique, mainly associated with ionospheric scintillations and the weak geometry of the ground-based GNSS receivers, both vertical and horizontal distributions were mapped over more than 30° in latitude, and have been detected in instances where the meteorological conditions disrupted the possibility of analyzing the OI 630 nm emissions. Therefore, the results revealed the proposed tomographic reconstruction as an efficient tool for mapping characteristics of the plasma bubble structures, which may have a special interest in SpaceWeather, Spatial Geodesy, and Telecommunications. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-10-01 2019-10-06T16:02:07Z 2019-10-06T16:02:07Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.3390/rs10101529 Remote Sensing, v. 10, n. 10, 2018. 2072-4292 http://hdl.handle.net/11449/188251 10.3390/rs10101529 2-s2.0-85055417253 6790708247598813 0000-0001-7648-1291 |
url |
http://dx.doi.org/10.3390/rs10101529 http://hdl.handle.net/11449/188251 |
identifier_str_mv |
Remote Sensing, v. 10, n. 10, 2018. 2072-4292 10.3390/rs10101529 2-s2.0-85055417253 6790708247598813 0000-0001-7648-1291 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Remote Sensing |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128309068824576 |