Article (Périodiques scientifiques)
SNR-based GNSS reflectometry for coastal sea-level altimetry: results from the first IAG inter-comparison campaign
Geremia-Nievinski, F.; Hobiger, T.; Haas, R. et al.
2020In Journal of Geodesy, 94 (8)
Peer reviewed vérifié par ORBi
 

Documents


Texte intégral
jog2020.pdf
Postprint Éditeur (12.17 MB)
Demander un accès

Tous les documents dans ORBilu sont protégés par une licence d'utilisation.

Envoyer vers



Détails



Mots-clés :
GPS; GNSS; Reflectometry; GNSS-R; SNR; Sea level; Altimetry
Résumé :
[en] Ground-based Global Navigation Satellite System Reflectometry (GNSS-R) is quickly maturing toward the objective of becoming a viable alternative for operational coastal sea-level (SL) altimetry in a geocentric reference frame. SL has immense societal implications related to climate change. Of particular interest is the exploitation of existing coastal GNSS sites for reflectometry by means of signal-to-noise ratio (SNR) observables. We report results from the first inter-comparison campaign on SNR-based GNSS-R. The goal was to cross-validate retrieval solutions from independent research groups under comparable conditions. This action was an initiative of the International Association of Geodesy working group 4.3.9 (2015–2019 term). Data collected at the Onsala Space Observatory for a 1-year period (2015–2016) were compared to a co-located tide gauge (TG). SNR data for the GPS L1-C/A signal were processed by four groups, in Sweden, Luxembourg/Brazil, Germany, and the UK. Semidiurnal tidal constituents showed good agreement between TG and all GNSS-R groups. SL variations at diurnal and longer periods were also well captured by all series. Most GNSS-R solutions exhibited spurious tones at integer fractions of one sidereal day, the satellite revisit time of the particular GNSS constellation employed (GPS). Band-pass filtering between 3 h and 30 h confirmed that the dominant tidal components were well captured by most GNSS-R solutions. Higher-frequency SL variations (periods < 3 h) are poorly represented by GNSS-R as a consequence of its low temporal resolution. The solution with the worst agreement neglects a correction associated with the rate of change in sea level and uses narrower satellite elevation ranges per retrieval. Overall, there was excellent agreement, with correlation coefficients exceeding 0.9 and RMSE smaller than 5 cm.
Centre de recherche :
Geophysics and Remote Sensing (GRS)
Disciplines :
Sciences de la terre & géographie physique
Aérospatiale, astronomie & astrophysique
Physique, chimie, mathématiques & sciences de la terre: Multidisciplinaire, généralités & autres
Ingénierie, informatique & technologie: Multidisciplinaire, généralités & autres
Auteur, co-auteur :
Geremia-Nievinski, F. ;  Department of Geodesy, Institute of Geosciences, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
Hobiger, T. ;  Institute of Navigation, University of Stuttgart, Stuttgart, Germany
Haas, R. ;  Department of Space, Earth and Environment, Chalmers University of Technology, Gothenburg, Sweden
Liu, W. ;  Merchant Marine College, Shanghai Maritime University, Shanghai, China
Strandberg, J. ;  Department of Space, Earth and Environment, Chalmers University of Technology, Gothenburg, Sweden
TABIBI, Sajad  ;  Unilu - University of Luxembourg [LU] > Department of Engineering > Geophysics and Remote Sensing (GRS)
Vey, S. ;  Department Geodesy, German Research Centre for Geosciences GFZ, Potsdam, Germany
Wickert, J. ;  Department Geodesy, German Research Centre for Geosciences GFZ, Potsdam, Germany ; Institute of Geodesy and Geoinformation Science, Technische Universität Berlin, Berlin, Germany
Williams, S. ;  Marine Physics and Ocean Climate Group, National Oceanography Centre, Liverpool, United Kingdom
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
SNR-based GNSS reflectometry for coastal sea-level altimetry: results from the first IAG inter-comparison campaign
Date de publication/diffusion :
août 2020
Titre du périodique :
Journal of Geodesy
ISSN :
0949-7714
eISSN :
1432-1394
Maison d'édition :
Springer
Volume/Tome :
94
Fascicule/Saison :
8
Peer reviewed :
Peer reviewed vérifié par ORBi
Focus Area :
Computational Sciences
Sustainable Development
Objectif de développement durable (ODD) :
13. Mesures relatives à la lutte contre les changements climatiques
Subventionnement (détails) :
The tide gauge and GNSS-R data were provided by the Onsala Space Observatory, Chalmers University of Technology, Sweden, which is funded by Vetenskapsrådet, the Swedish Research Council. The Adlerbert Research Foundation partially funded the GNSS tide gauge project at the Onsala Space Observatory. The receivers and antennas were purchased through the Leica Geosystems ATHENA program. FGN acknowledges funding from CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico; 457530/2014-6, 433099/2018-6) and Fapergs (Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; 26228.414.42497.26062017). WL thanks for the sponsorship from Shanghai Pujiang Program (No. 18PJD017) and Shanghai Natural Science Foundation (18ZR1417100, 19ZR1422800).
Disponible sur ORBilu :
depuis le 23 octobre 2023

Statistiques


Nombre de vues
91 (dont 3 Unilu)
Nombre de téléchargements
0 (dont 0 Unilu)

citations Scopus®
 
78
citations Scopus®
sans auto-citations
59
OpenCitations
 
35
citations OpenAlex
 
92
citations WoS
 
66

Bibliographie


Publications similaires



Contacter ORBilu