Identifying 2010 Xynthia Storm Signature in GNSS-R-Based Tide Records

Vu, Phuong Lan; Ha, Minh Cuong; Frappart, Frédéric; Darrozes, José; Ramillien, Guillaume; Dufréchou, Grégory; Gégout, P.; Morichon, Denis; Bonneton, Philippe

doi:10.3390/rs11070782

Cited by 28 publications

(15 citation statements)

References 44 publications

(55 reference statements)

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“…In Fig. 9 we compile RMSEs from published work (Chen et al 2019;Jin et al 2017;Larson et al 2013Larson et al , 2017Lee et al 2019;Löfgren and Haas 2014;Löfgren et al 2014;Peng et al 2019;Puente and Valdés 2019;Reinking 2016;Santamaría-Gómez and Watson 2017;Santamaría-Gómez et al 2015;Song et al 2019;Zhang et al 2019;Strandberg et al 2019;Sun 2017;Vu et al 2019;Wang et al 2018a;Wang et al 2018;Wang et al 2018bWang et al ,c, 2019 as a function of tidal range and segregated by the method used to estimate water levels. Boxplots are used at some sites where a publication supplied a range of RMSEs either due to analyzing each frequency and satellite system separately (e.g., Wang et al 2019) or to variations in the method such as different elevation ranges (Wang et al 2018a), presmoothing of the SNR signal (Zhang et al 2019;Wang et al 2018a), for example.…”

Section: Discussionmentioning

confidence: 99%

Demonstrating the Potential of Low-Cost GPS Units for the Remote Measurement of Tides and Water Levels Using Interferometric Reflectometry

Williams

Bell

McCann

et al. 2020

Journal of Atmospheric and Oceanic Technology

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A low cost (US$30) consumer grade GPS receiver with a sideways mounted antenna has been applied to measure tidal water levels at a meso-tidal coastal site using an interferometric reflectometry approach. The proof of concept system was installed approximately 16m above mean sea level in close proximity to a conventional bubbler tide gauge that provided validation data. The received Signal to Noise Ratios (SNR) for the satellites in view were recorded for several months during two successive years and the observed frequencies of the interferometric oscillations used to calculate the difference in elevation between the receiver and the water surface. Comparisons with concurrent and historic in situ tide gauge data at the site initially helped to identify a calibration issue with the in situ gauge. The GPS based measurements were shown to be in excellent agreement with the corrected in situ gauge, exhibiting a Root Mean Square difference of 5.7cm over a tidal range exceeding 3m at spring tides and a daily averaged RMS of 1.7cm. The SNR data from the low cost GPS receivers are shown to provide significantly higher quality data for this purpose compared with high end geodetic grade receivers at similar sites. This low cost, widely available technology has the potential to be applied globally for monitoring water levels in a wide variety of circumstances and applications that would otherwise be cost or situation prohibitive. It could also be applied as an independent cross check and quality control measure for conventional water level gauges.

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Section: Discussionmentioning

confidence: 99%

Demonstrating the Potential of Low-Cost GPS Units for the Remote Measurement of Tides and Water Levels Using Interferometric Reflectometry

Williams

Bell

McCann

et al. 2020

Journal of Atmospheric and Oceanic Technology

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“…This residual can be defined as the subtidal sea level (SSL) and contains different phenomena affecting the sea level. Vu and Peng [5,6] have showed that it is possible to relate the surges to SSL obtained by GNSS-R measurements. Moreover monitoring these surges allows to detect the extreme meteorological events such as tempests and hurricanes and the passage of any meteorological depression.…”

Section: Sea Level Measurements Derived From Gnss-rmentioning

confidence: 99%

The Impact of Barometric Variations on the Sea Level in Coastal Areas Using GNSS Reflectometry

Gravalon

Seoane

Darrozes

et al. 2021

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS

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The Local Inverse Barometer (LIB) effect is a complex phenomenon which consists in the response in sea level surface variations to barometric changes. This contribution aims to study the evolution of the impact of this phenomenon on sea level in different sites in coastal areas. Four GNSS stations were used all over the world (Port-Tudy on Groix island (France), Tarifa in Spain, Fort-de-France on Martinique island (overseas France) and Lyttelton in New-Zealand) in order to retrieve coastal sea level height through SNR-based GNSS reflectometry. This sea level height estimates are then extensively compared to oceanic tides and surge effects due to pressure variations. The results show that the impact of the LIB effect on sea level is strongly dependent on the location but also on the spatial extension and timescales.

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“…The SNR-based GNSS-IR technology mainly uses the least square method and LSP spectrum analysis to invert the sea level height altimetry, and the research focuses on improving the inversion accuracy and stability. In addition, there are methods for processing SNR data such as the B-spline method [26] the EMD method [29], wavelet decomposition [33] and singular spectrum analysis (SSA) [34]. Although SNR-based GNSS-IR technology has gained a lot of progress, the existing GNSS-IR sea level height estimation model still has insufficient accuracy, stability, and utilization of GNSS data.…”

Section: Introductionmentioning

confidence: 99%

GNSS-IR Model of Sea Level Height Estimation Combining Variational Mode Decomposition

Hu¹,

Yuan²,

Liu³

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The Global Navigation Satellite System-Reflections (GNSS-R) signal has been confirmed to be useful for retrieving sea level height. At present, the GNSS-Interferometric Reflectometry (GNSS-IR) technology based on the least square method to process signal-to-noise ratio (SNR) data is restricted by the satellite elevation angle in terms of accuracy and stability. This paper proposes a new GNSS-IR model combining variational mode decomposition (VMD) for sea level height estimation. VMD is used to decompose the SNR data into intrinsic mode functions (IMF) of layers with different frequencies, remove the IMF representing the trend item of the SNR data, and reconstruct the remaining IMF components to obtain the SNR oscillation item. In order to verify the validity of the new GNSS-IR model, the measurement data provided by the Onsala Space Observatory in Sweden is used to evaluate the performance of the algorithm and its stability in high elevation range. The experimental results show that the VMD method has good results in terms of accuracy and stability, and has advantages compared to other methods. For the half-year GNSS SNR data, the root mean square error (RMSE) and correlation coefficient of the new model based on the VMD method are 4.86 cm and 0.97, respectively.

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Identifying 2010 Xynthia Storm Signature in GNSS-R-Based Tide Records

Cited by 28 publications

References 44 publications

Demonstrating the Potential of Low-Cost GPS Units for the Remote Measurement of Tides and Water Levels Using Interferometric Reflectometry

Demonstrating the Potential of Low-Cost GPS Units for the Remote Measurement of Tides and Water Levels Using Interferometric Reflectometry

The Impact of Barometric Variations on the Sea Level in Coastal Areas Using GNSS Reflectometry

GNSS-IR Model of Sea Level Height Estimation Combining Variational Mode Decomposition

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