Article (Scientific journals)
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)
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Keywords :
GPS; GNSS; Reflectometry; GNSS-R; SNR; Sea level; Altimetry
Abstract :
[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.
Research center :
Geophysics and Remote Sensing (GRS)
Disciplines :
Earth sciences & physical geography
Space science, astronomy & astrophysics
Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
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
External co-authors :
yes
Language :
English
Title :
SNR-based GNSS reflectometry for coastal sea-level altimetry: results from the first IAG inter-comparison campaign
Publication date :
August 2020
Journal title :
Journal of Geodesy
ISSN :
0949-7714
eISSN :
1432-1394
Publisher :
Springer
Volume :
94
Issue :
8
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Computational Sciences
Sustainable Development
Development Goals :
13. Climate action
Funding text :
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).
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