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dc.contributor.authorBlanch Llosa, Estefania
dc.contributor.authorAltadill, David
dc.contributor.authorJuan Zornoza, José Miguel
dc.contributor.authorCamps Carmona, Adriano José
dc.contributor.authorBarbosa, José
dc.contributor.authorGonzález Casado, Guillermo
dc.contributor.authorRiba Sagarra, Jaume
dc.contributor.authorSanz Subirana, Jaume
dc.contributor.authorVázquez Grau, Gregorio
dc.contributor.authorOrús Pérez, Raul
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Física
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtiques
dc.date.accessioned2018-10-11T18:12:26Z
dc.date.available2018-10-11T18:12:26Z
dc.date.issued2018-08-22
dc.identifier.citationBlanch, E., Altadill, D., Juan, J., Camps, A., Barbosa, J., Gonzalez-Casado, G., Riba, J., Sanz, J., Vazquez, G., Orús, R. Improved characterization and modeling of equatorial plasma depletions. "Journal of Space Weather and Space Climate", 22 Agost 2018, vol. 8, p. A38-1-A38-21.
dc.identifier.issn2115-7251
dc.identifier.urihttp://hdl.handle.net/2117/122276
dc.description.abstractThis manuscript presents a method to identify the occurrence of Equatorial Plasma Bubbles (EPBs) with data gathered from receivers of Global Navigation Satellite System (GNSS). This method adapts a previously existing technique to detect Medium Scale Travelling Ionospheric Disturbances (MSTIDs), which focus on the 2nd time derivatives of total electron content estimated from GNSS signals (2DTEC). Results from this tool made possible to develop a comprehensive analysis of the characteristics of EPBs. Analyses of the probability of occurrence, effective time duration, depth of the depletion and total disturbance of the EPBs show their dependence on local time and season of the year at global scale within the latitude belt from 35°N to 35°S for the descending phase of solar cycle 23 and ascending phase of solar cycle 24, 2002–2014. These results made possible to build an EPBs model, bounded with the Solar Flux index, that simulates the probability of the number of EPBs and their characteristics expected for a representative day at given season and local time (LT). The model results provided insight into different important aspects: the maximum occurrence of bubbles take place near the equatorial anomaly crests, asymmetry between hemispheres and preferred longitudes with enhanced EPBs activity. Model output comparisons with independent observations confirmed its soundness.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Física
dc.subject.lcshIonosphere
dc.subject.otherIonosphere (equatorial)
dc.subject.otheraeronomy
dc.subject.otherdata analysis
dc.subject.othermodelling
dc.subject.otherirregularities
dc.titleImproved characterization and modeling of equatorial plasma depletions
dc.typeArticle
dc.subject.lemacIonosfera
dc.contributor.groupUniversitat Politècnica de Catalunya. gAGE - Grup d'Astronomia i Geomàtica
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.contributor.groupUniversitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions
dc.identifier.doi10.1051/swsc/2018026
dc.relation.publisherversionhttps://www.swsc-journal.org/articles/swsc/abs/2018/01/swsc170057/swsc170057.html
dc.rights.accessOpen Access
drac.iddocument23333892
dc.description.versionPostprint (published version)
upcommons.citation.authorBlanch, E., Altadill, D., Juan, J., Camps, A., Barbosa, J., Gonzalez-Casado, G., Riba, J., Sanz, J., Vazquez, G., Orús, R.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameJournal of Space Weather and Space Climate
upcommons.citation.volume8
upcommons.citation.startingPageA38-1
upcommons.citation.endingPageA38-21


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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain