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Data assimilation for three-dimensional modelling of the ionosphere in Brazil

Grant number: 16/22011-2
Support type:Scholarships abroad - Research Internship - Doctorate
Effective date (Start): April 01, 2017
Effective date (End): March 31, 2018
Field of knowledge:Physical Sciences and Mathematics - Geosciences - Geodesy
Principal researcher:Paulo de Oliveira Camargo
Grantee:Fabricio dos Santos Prol
Supervisor abroad: Manuel Hernandez-Pajares
Home Institution: Faculdade de Ciências e Tecnologia (FCT). Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Presidente Prudente , SP, Brazil
Research place: Universitat Politècnica de Catalunya (UPC), Spain  
Associated to the scholarship:15/15027-7 - Data assimilation for three-dimensional modelling of the ionosphere in Brazil, BP.DR

Abstract

Several models were developed using GNSS (Global Navigation Satellite System) observations to represent the ionosphere in Vertical Total Electron Content (VTEC) maps. Nowadays, valuable information of the ionosphere is constantly released by IGS (International GNSS Service) in global VTEC maps. However, VTEC modeling errors occurs due to the consideration of the ionosphere as a thin shell with constant height. By contrast, ionosphere is a layer with more than 1000 km thickness. Ionospheric profiles may be retrieved using tomographic reconstruction techniques, which are based on GNSS observations to map the ionosphere in three dimensions. Therefore, the tomographic products may be used for several applications of Aeronomy, Geodesy, Space Weather and Telecommunications. However, performing tomographic reconstructions using only ground stations shows deficiencies in vertical representations of the ionosphere. To overcome this geometric deficiency, data assimilation can be performed including radio-occultation data and ionospheric profiles in the tomographic reconstruction. Many researchers have already proposed tomographic reconstruction methods with data assimilation; however it still presents a continuous challenge for scientific community, mainly in global scale, ionospheric low-latitude regions and for GNSS positioning applications. Therefore, the research project aims to study tomographic reconstruction methods of the ionosphere using data assimilation, which is closely related with some projects going on at Universitat Politècnica de Cataluny (UPC). In this context, the main goals of this internship with UPC are: to obtain experience with global ionospheric models developed by UPC; to develop appropriate techniques for using tomographic algorithms for GNSS positioning applications; and to accomplish analyses of the ionospheric dynamics over Brazil by the tomographic products.

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Scientific publications (4)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
PROL, FABRICIO DOS SANTOS; CAMARGO, PAULO DE OLIVEIRA; HERNANDEZ-PAJARES, MANUEL; DE ASSIS HONORATO MUELLA, MARCIO TADEU. A New Method for Ionospheric Tomography and Its Assessment by Ionosonde Electron Density, GPS TEC, and Single-Frequency PPP. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v. 57, n. 5, p. 2571-2582, MAY 2019. Web of Science Citations: 0.
PROL, FABRICIO DOS SANTOS; THEMENS, DAVID R.; HERNANDEZ-PAJARES, MANUEL; CAMARGO, PAULO DE OLIVEIRA; DE ASSIS HONORATO MUELLA, MARCIO TADEU. Linear Vary-Chap Topside Electron Density Model with Topside Sounder and Radio-Occultation Data. SURVEYS IN GEOPHYSICS, v. 40, n. 2, p. 277-293, MAR 2019. Web of Science Citations: 1.
PROL, FABRICIO DOS SANTOS; HERNANDEZ-PAJARES, MANUEL; DE ASSIS HONORATO MUELLA, MARCIO TADEU; CAMARGO, PAULO DE OLIVEIRA. Tomographic Imaging of Ionospheric Plasma Bubbles Based on GNSS and Radio Occultation Measurements. REMOTE SENSING, v. 10, n. 10 OCT 2018. Web of Science Citations: 1.
PROL, FABRICIO DOS SANTOS; HERNANDEZ-PAJARES, MANUEL; CAMARGO, PAULO DE OLIVEIRA; DE ASSIS HONORATO MUELLA, MARCIO TADEU. Spatial and Temporal Features of the Topside Ionospheric Electron Density by a New Model Based On GPS Radio Occultation Data. JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, v. 123, n. 3, p. 2104-2115, MAR 2018. Web of Science Citations: 4.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.