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Polar electron content from GPS data-based global ionospheric maps: assessment, case studies, and climatology
dc.contributor.author | Lyu, Haixia |
dc.contributor.author | Hernández Pajares, Manuel |
dc.contributor.author | Aragón Ángel, Maria Angeles |
dc.contributor.author | Monte Moreno, Enrique |
dc.contributor.author | An, Jiachun |
dc.contributor.author | Liu, Jingbin |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Ciència i Tecnologia Aeroespacials |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Matemàtiques |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2021-05-10T09:19:33Z |
dc.date.available | 2021-05-10T09:19:33Z |
dc.date.issued | 2020-04-22 |
dc.identifier.citation | Lyu, H. [et al.]. Polar electron content from GPS data-based global ionospheric maps: assessment, case studies, and climatology. "Journal of geophysical research: space physics", 22 Abril 2020, vol. 125, núm. 6, p. 1-23. |
dc.identifier.issn | 2169-9380 |
dc.identifier.uri | http://hdl.handle.net/2117/345335 |
dc.description.abstract | The electron content distribution of the north and south polar ionosphere from 2001 to the beginning of 2019 is analyzed by using the UQRG global ionospheric map (GIM) of vertical total electron content (VTEC), computed every 15 min by UPC-IonSAT with a tomographic-kriging combined technique. We first show that the accuracy of UQRG GIM is slightly better than that of the GIMs of other analysis centers on the whole and also over both poles. Second, we show examples of polar VTEC features in UQRG GIM, previously reported by different authors and with higher-resolution techniques. Third, by means of an unsupervised clustering algorithm, learning vector quantization, we characterize the main features of the ionospheric electron content climatology, separately for the north and south polar regions. |
dc.format.extent | 23 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Climatologia i meteorologia |
dc.subject.lcsh | Microelectronics |
dc.subject.other | Climatology |
dc.subject.other | VTEC |
dc.title | Polar electron content from GPS data-based global ionospheric maps: assessment, case studies, and climatology |
dc.type | Article |
dc.subject.lemac | Climatologia -- Models matemàtics |
dc.contributor.group | Universitat Politècnica de Catalunya. IonSAT - Grup de determinació Ionosfèrica i navegació per SAtèl·lit i sistemes Terrestres |
dc.contributor.group | Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla |
dc.identifier.doi | 10.1029/2019JA027677 |
dc.relation.publisherversion | https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019JA027677 |
dc.rights.access | Open Access |
local.identifier.drac | 28722190 |
dc.description.version | Postprint (published version) |
local.citation.author | Lyu, H.; Hernandez, M.; Aragon-Angel, M.A.; Monte, E.; An, J.; Liu, J. |
local.citation.publicationName | Journal of geophysical research: space physics |
local.citation.volume | 125 |
local.citation.number | 6 |
local.citation.startingPage | 1 |
local.citation.endingPage | 23 |
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