Assessment of global ionospheric maps performance by means of ionosonde data
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.3390/rs12203452 http://hdl.handle.net/11449/206733 |
Resumo: | This work presents a new method for assessing global ionospheric maps (GIM) using ionosonde data. The method is based on the critical frequency at the F2 layer directly measured by ionosondes to validate VTEC (vertical total electron content) values from GIMs. The analysis considered four different approaches to using foF2. The study was performed over one of the most challenging scenarios, the Brazilian region, considering four ionosondes (combined in six pairs) and thirteen GIM products available at CDDIS (Crustal Dynamics Data Information System). Analysis was conducted using daily, weekly, one year (2015), and four years (2014–2017) of data. Additional information from the ionosphere was estimated to complement the daily analysis, such as slab thickness and shape function peak. Results indicated that slab thickness and shape function peak could be used as alternative indicators of periods and regions where this method could be applied. The weekly analysis indicated the squared frequency ratio with local time correction as the best approach of using foF2, between the ones evaluated. The analysis of one-year data (2015) was performed considering thirteen GIMs, where CODG and UQRG were the two GIMs that presented the best performance. The four-year time series (2014–2017) were analyzed considering these two products. Regional and temporal ionospheric influences could be noticed in the results, with expected larger errors during the solar cycle peak in 2014 and at locations with pairs of ionosondes with the larger distance apart. Therefore, we have confirmed the viability of the developed approach as an assessment method to analyze GIMs quality based on ionosonde data. |
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Repositório Institucional da UNESP |
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Assessment of global ionospheric maps performance by means of ionosonde dataEquatorial regionGlobal ionospheric mapsIonosondeIonosphereThis work presents a new method for assessing global ionospheric maps (GIM) using ionosonde data. The method is based on the critical frequency at the F2 layer directly measured by ionosondes to validate VTEC (vertical total electron content) values from GIMs. The analysis considered four different approaches to using foF2. The study was performed over one of the most challenging scenarios, the Brazilian region, considering four ionosondes (combined in six pairs) and thirteen GIM products available at CDDIS (Crustal Dynamics Data Information System). Analysis was conducted using daily, weekly, one year (2015), and four years (2014–2017) of data. Additional information from the ionosphere was estimated to complement the daily analysis, such as slab thickness and shape function peak. Results indicated that slab thickness and shape function peak could be used as alternative indicators of periods and regions where this method could be applied. The weekly analysis indicated the squared frequency ratio with local time correction as the best approach of using foF2, between the ones evaluated. The analysis of one-year data (2015) was performed considering thirteen GIMs, where CODG and UQRG were the two GIMs that presented the best performance. The four-year time series (2014–2017) were analyzed considering these two products. Regional and temporal ionospheric influences could be noticed in the results, with expected larger errors during the solar cycle peak in 2014 and at locations with pairs of ionosondes with the larger distance apart. Therefore, we have confirmed the viability of the developed approach as an assessment method to analyze GIMs quality based on ionosonde data.Department of Cartography São Paulo State University (UNESP)Department of Mathematics Universitat Politècnica de Catalunya (UPC) UPC-IonSAT and UPC-IEEC Research GroupsGerman Aerospace Center (DLR)Department of Cartography São Paulo State University (UNESP)Universidade Estadual Paulista (Unesp)UPC-IonSAT and UPC-IEEC Research GroupsGerman Aerospace Center (DLR)Jerez, Gabriel O. [UNESP]Hernández-Pajares, ManuelProl, Fabricio S.Alves, Daniele B. M. [UNESP]Monico, João F. G. [UNESP]2021-06-25T10:37:14Z2021-06-25T10:37:14Z2020-10-02info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1-18http://dx.doi.org/10.3390/rs12203452Remote Sensing, v. 12, n. 20, p. 1-18, 2020.2072-4292http://hdl.handle.net/11449/20673310.3390/rs122034522-s2.0-85093955920Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRemote Sensinginfo:eu-repo/semantics/openAccess2024-06-18T15:01:26Zoai:repositorio.unesp.br:11449/206733Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:39:40.225453Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Assessment of global ionospheric maps performance by means of ionosonde data |
title |
Assessment of global ionospheric maps performance by means of ionosonde data |
spellingShingle |
Assessment of global ionospheric maps performance by means of ionosonde data Jerez, Gabriel O. [UNESP] Equatorial region Global ionospheric maps Ionosonde Ionosphere |
title_short |
Assessment of global ionospheric maps performance by means of ionosonde data |
title_full |
Assessment of global ionospheric maps performance by means of ionosonde data |
title_fullStr |
Assessment of global ionospheric maps performance by means of ionosonde data |
title_full_unstemmed |
Assessment of global ionospheric maps performance by means of ionosonde data |
title_sort |
Assessment of global ionospheric maps performance by means of ionosonde data |
author |
Jerez, Gabriel O. [UNESP] |
author_facet |
Jerez, Gabriel O. [UNESP] Hernández-Pajares, Manuel Prol, Fabricio S. Alves, Daniele B. M. [UNESP] Monico, João F. G. [UNESP] |
author_role |
author |
author2 |
Hernández-Pajares, Manuel Prol, Fabricio S. Alves, Daniele B. M. [UNESP] Monico, João F. G. [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) UPC-IonSAT and UPC-IEEC Research Groups German Aerospace Center (DLR) |
dc.contributor.author.fl_str_mv |
Jerez, Gabriel O. [UNESP] Hernández-Pajares, Manuel Prol, Fabricio S. Alves, Daniele B. M. [UNESP] Monico, João F. G. [UNESP] |
dc.subject.por.fl_str_mv |
Equatorial region Global ionospheric maps Ionosonde Ionosphere |
topic |
Equatorial region Global ionospheric maps Ionosonde Ionosphere |
description |
This work presents a new method for assessing global ionospheric maps (GIM) using ionosonde data. The method is based on the critical frequency at the F2 layer directly measured by ionosondes to validate VTEC (vertical total electron content) values from GIMs. The analysis considered four different approaches to using foF2. The study was performed over one of the most challenging scenarios, the Brazilian region, considering four ionosondes (combined in six pairs) and thirteen GIM products available at CDDIS (Crustal Dynamics Data Information System). Analysis was conducted using daily, weekly, one year (2015), and four years (2014–2017) of data. Additional information from the ionosphere was estimated to complement the daily analysis, such as slab thickness and shape function peak. Results indicated that slab thickness and shape function peak could be used as alternative indicators of periods and regions where this method could be applied. The weekly analysis indicated the squared frequency ratio with local time correction as the best approach of using foF2, between the ones evaluated. The analysis of one-year data (2015) was performed considering thirteen GIMs, where CODG and UQRG were the two GIMs that presented the best performance. The four-year time series (2014–2017) were analyzed considering these two products. Regional and temporal ionospheric influences could be noticed in the results, with expected larger errors during the solar cycle peak in 2014 and at locations with pairs of ionosondes with the larger distance apart. Therefore, we have confirmed the viability of the developed approach as an assessment method to analyze GIMs quality based on ionosonde data. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-10-02 2021-06-25T10:37:14Z 2021-06-25T10:37:14Z |
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/rs12203452 Remote Sensing, v. 12, n. 20, p. 1-18, 2020. 2072-4292 http://hdl.handle.net/11449/206733 10.3390/rs12203452 2-s2.0-85093955920 |
url |
http://dx.doi.org/10.3390/rs12203452 http://hdl.handle.net/11449/206733 |
identifier_str_mv |
Remote Sensing, v. 12, n. 20, p. 1-18, 2020. 2072-4292 10.3390/rs12203452 2-s2.0-85093955920 |
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.format.none.fl_str_mv |
1-18 |
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_ |
1808128684316426240 |