Paper published in a journal (Scientific congresses, symposiums and conference proceedings)
An Improved Ionospheric Correction Model for Grazing Angle GNSS-R Altimetry
Buendía, Raquel N.; TABIBI, Sajad; Talpe, Matthieu
2023In IEEE International Geoscience and Remote Sensing Symposium, p. 4332–4335
Peer reviewed
 

Files


Full Text
IGARSS2023.pdf
Publisher postprint (1.65 MB)
Request a copy

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
GNSS, Reflectometry, GNSS-R, Grazing angle, Carrier phase altimetry, Ionospheric delay
Abstract :
[en] In this work, Spire Global, Inc. carrier phase of GNSS dual-frequency reflected signals under grazing angle (GG-R) are used for sea surface altimetry over the Java Sea, Indonesia. Processing of 714 GG-R coherent profiles from January 2020 to October 2021 is carried out to retrieve the relative surface height from WGS84 applying two methods to remove the ionospheric delay: an ionosphere-free combination and smoothing of the frequency-specific correction based on dual-frequency carrier phase observations. A substantial improvement of ∼ 8 cm is observed in the root mean square error (RMSE) between the GG-R retrievals and the reference surface model using the frequency-specific ionospheric correction method.
Disciplines :
Space science, astronomy & astrophysics
Aerospace & aeronautics engineering
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Buendía, Raquel N.;  Unilu - University of Luxembourg [LU] > Department of Engineering > Geophysics and Remote Sensing (GRS)
TABIBI, Sajad  ;  University of Luxembourg > Department of Engineering (DoE) > Geophysics and Remote Sensing (GRS)
Talpe, Matthieu;  Spire Global Luxembourg S.a.r.l.
External co-authors :
no
Language :
English
Title :
An Improved Ionospheric Correction Model for Grazing Angle GNSS-R Altimetry
Publication date :
July 2023
Event name :
IEEE International Geoscience and Remote Sensing Symposium
Event organizer :
IEEE GRSS
Event date :
16 - 21 July, 2023
By request :
Yes
Audience :
International
Journal title :
IEEE International Geoscience and Remote Sensing Symposium
Pages :
4332–4335
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Sustainable Development
Development Goals :
13. Climate action
FnR Project :
FNR12252781 - Data-driven Computational Modelling And Applications, 2017 (01/09/2018-28/02/2025) - Andreas Zilian
Funders :
FNR - Fonds National de la Recherche
Commentary :
ISSN: 2153-7003
Available on ORBilu :
since 23 October 2023

Statistics


Number of views
163 (15 by Unilu)
Number of downloads
0 (0 by Unilu)

Scopus citations®
 
2
Scopus citations®
without self-citations
0
OpenCitations
 
0
OpenAlex citations
 
2

Bibliography


Similar publications



Contact ORBilu