EGU2020-325, updated on 12 Jun 2020
https://doi.org/10.5194/egusphere-egu2020-325
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Assessment of electron density profiles over the Brazilian region using radio occultation data aided by global ionospheric maps

Gabriel Jerez1, Fabricio Prol2, Daniele Alves3, João Monico4, and Manuel Hernández-Pajares5
Gabriel Jerez et al.
  • 1Sao Paulo State University (UNESP), Cartography, Presidente Prudente, Brazil (gabriel.jerez@unesp.br)
  • 2German Aerospace Center (DLR), Neustrelitz, Germany (Fabricio.DosSantosProl@dlr.de)
  • 3Sao Paulo State University (UNESP), Cartography, Presidente Prudente, Brazil (daniele.barroca@unesp.br)
  • 4Sao Paulo State University (UNESP), Cartography, Presidente Prudente, Brazil (galera.monico@unesp.br)
  • 5Universitat Politècnica de Catalunya (UPC-IonSA), Barcelona, Spain (manuel.hernandez@upc.edu)

The development of GNSS (Global Navigation Satellite System) and LEO (Low Earth Orbiting) satellites missions enhanced new possibilities of the terrestrial atmosphere probing. The Radio Occultation (RO) technique can be used to retrieve profiles from the neutral and the ionized atmosphere. An important advantage of using RO data is the spatial distribution, which enables global coverage. The signal transmitted by GNSS satellites and tracked by receivers embedded at the LEO satellites is influenced by the atmosphere which causes signal refraction. Due to the signal and atmospheric interaction, instead of a straight line, the signal propagates as a curved line in the path between the transmitter and receiver. The satellites geometry allows the retrieval of atmospheric refractive index, which carries several characteristics from its composition, such as pressure and temperature of the neutral atmosphere, and electron density of the ionosphere. In 1995 GPS/MET (Global Positioning System/Meteorology) experiment was launched to prove the RO concept and, since then, several LEO missions with GNSS receiver embedded were developed, such as CHAMP (Challenging Mini-satellite Payload) (2001-2008), SAC-C (Satélite de Aplicaciones Cientificas-C) (2001-2013) and COSMIC (Constellation Observing System for Meteorology, Ionosphere and Climate) (2006-present). COSMIC is one of the RO missions with the greatest amount of atmospheric data available, mainly taking into account ionospheric information. In the RO technique, in general, the Abel retrieval is used to retrieve the refractive index. The Abel retrieval assumes a spherical symmetry of the atmosphere. When considering the electron density profiles, the main issue is related to regions with large horizontal gradients, where the spherical assumption presents the biggest degradation. In order to improve the ionospheric horizontal gradient used to retrieve electron density profiles, many researches have performed experiments using data from different sources. In this paper, we aimed to assess the electron density profiles over the Brazilian area (equatorial region), characterized by intense ionospheric variability, considering RO data and Global Ionospheric Maps (GIM). The data used is from COSMIC mission, in a period close to the last solar cycle peak (2013-2014). Ionosonde data were used as reference values to assess the RO with GIM aided data. Total Electron Content (TEC) data from GIM were used to estimate the variability of ionosphere between the ionosonde position and the profile locations. This research builds on a preliminary investigation related to the assessment of RO ionospheric profiles over a region under intense ionospheric variability, such as the Brazilian territory. Future works may take into consideration the use of other ionospheric information such as regional ionospheric maps, with higher resolution, and ionospheric tomography.

How to cite: Jerez, G., Prol, F., Alves, D., Monico, J., and Hernández-Pajares, M.: Assessment of electron density profiles over the Brazilian region using radio occultation data aided by global ionospheric maps , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-325, https://doi.org/10.5194/egusphere-egu2020-325, 2019

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