GNSS derived TEC data ingestion into IRI 2012

dc.contributor.authorMigoya-Orué, Yenca
dc.contributor.authorNava, Bruno
dc.contributor.authorRadicella, Sandro
dc.contributor.authorAlazo-Cuartas, Katy
dc.date.accessioned2018-11-16T11:58:13Z
dc.date.available2018-11-16T11:58:13Z
dc.date.issued2015-01-06
dc.description.abstractExperimental vertical total electron content (VTEC) data given by Global Ionospheric Maps (GIM) has been ingested into the IRI version 2012, aiming to obtain grids of effective input parameter values that allow to minimize the difference between the experimental and modeled vertical TEC. Making use of the experience gained with the technique of model adaptation applied to NeQuick (Nava et al., 2005), it has been found possible to compute IRI world grids of effective ionosphere index parameters (IG). The IG grids thus obtained can be interpolated in space and time to calculate with IRI the 3D electron density at any location and also the TEC along any ground-to-satellite ray-path for a given epoch. In this study, the ingestion technique is presented and a posteriori validation, along with an assessment of the capability of the ‘ingested’ IRI to reproduce the ionosphere day-to-day foF2 variability during disturbed and quiet periods. The foF2 values retrieved are compared with data from about 20 worldwide ionosondes for selected periods of high (year 2000) and moderate to low solar activity (year 2006). It was found that the use of the ingestion scheme enhances the performance of the model when compared with its standard use based on solar activity drivers (R12 and F10.7), especially for high solar activity. As an example, the mean and standard deviation of the differences between experimental and reconstructed F2-peak values for April of year 2000 is 0.09 and 1.28 MHz for ingested IRI, compared to −0.81 and 1.27 MHz (IRI with R12 input) and −0.02 and 1.46 MHz (IRI with F10.7 input).es_ES
dc.description.peer-reviewPor pareses_ES
dc.formatapplication/pdfes_ES
dc.identifier.citationMigoya-Orué, Y., Nava, B., Radicella, S., & Alazo-Cuartas, K. (2015). GNSS derived TEC data ingestion into IRI 2012.==$Advances in Space Research, 55$==(8), 1994-2002. https://doi.org/10.1016/j.asr.2014.12.033es_ES
dc.identifier.doihttps://doi.org/10.1016/j.asr.2014.12.033es_ES
dc.identifier.journalAdvances in Space Researches_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12816/3662
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation.ispartofurn:issn:0273-1177
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.subjectIonospheric modelinges_ES
dc.subjectGNSSes_ES
dc.subjectTECes_ES
dc.subjectData ingestiones_ES
dc.subjectIRIes_ES
dc.subject.ocdehttp://purl.org/pe-repo/ocde/ford#1.05.01es_ES
dc.titleGNSS derived TEC data ingestion into IRI 2012es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES

Files

License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
391 B
Format:
Item-specific license agreed upon to submission
Description: