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dc.contributor.author Pham, Viet-Cuong
dc.contributor.author Juang, Jyh-Ching
dc.date.accessioned 2018-11-15T18:13:24Z
dc.date.available 2018-11-15T18:13:24Z
dc.date.issued 2015-10-19
dc.identifier.issn 1364-6826
dc.identifier.uri http://repositorio.igp.gob.pe/handle/IGP/3639
dc.description En: Journal of Atmospheric and Solar-Terrestrial Physics, v. 135, (December 2015), p. 77-84.
dc.description.abstract "Abel inversion techniques have been widely employed to retrieve electron density profiles (EDPs) from radio occultation (RO) measurements, which are available by observing Global Navigation Satellite System (GNSS) satellites from low-earth-orbit (LEO) satellites. It is well known that the ordinary Abel inversion might introduce errors in the retrieval of EDPs when the spherical symmetry assumption is violated. The error, however, is case-dependent; therefore it is desirable to associate an error index or correction coefficient with respect to each retrieved EDP. Several error indices have been proposed but they only deal with electron density at the F2 peak and suffer from some drawbacks. In this paper we propose an artificial neural network (ANN) based error correction method for EDPs obtained by the ordinary Abel inversion. The ANN is first trained to learn the relationship between vertical total electron content (TEC) measurements and retrieval errors at the F2 peak, 220 km and 110 km altitudes; correction coefficients are then estimated to correct the retrieved EDPs at these three altitudes. Experiments using the NeQuick2 model and real FORMOSAT-3/COSMIC RO geometry show that the proposed method outperforms existing ones. Real incoherent scatter radar (ISR) measurements at the Jicamarca Radio Observatory and the global TEC map provided by the International GNSS Service (IGS) are also used to valid the proposed method". es_ES
dc.format application/pdf es_ES
dc.language.iso en es_ES
dc.publisher Journal of Atmospheric and Solar-Terrestrial Physics es_ES
dc.rights info:eu-repo/semantics/restrictedAccess es_ES
dc.rights.uri http://creativecommons.org/licences/restrictedAccess es_ES
dc.source Repositorio institucional - IGP es_ES
dc.subject Redes neuronales (Informática) es_ES
dc.subject Densidad de electrones ionosféricos es_ES
dc.subject Satélites artificiales es_ES
dc.subject Radio Observatorio de Jicamarca es_ES
dc.subject Radar de dispersión incoherente es_ES
dc.subject Radar--Perú--Observaciones es_ES
dc.subject Ionósfera--Investigación es_ES
dc.title A neural network based error correction method for radio occultation electron density retrieval es_ES
dc.type info:eu-repo/semantics/article es_ES
dc.subject.ocde Atmósfera es_ES
dc.subject.ocde Radar es_ES
dc.subject.ocde Observación es_ES
dc.subject.ocde Investigación es_ES
dc.subject.ocde Perú es_ES
dc.subject.ocde Modelos es_ES
dc.identifier.journal Journal of Atmospheric and Solar-Terrestrial Physics es_ES
dc.description.peer-review Por pares es_ES
dc.identifier.doi 10.1016/j.jastp.2015.10.013 es_ES

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