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

In this study, three months of records (January–March 2010) that were acquired by a geodetic Global Navigation Satellite Systems (GNSS) station from the permanent network of RGP (Réseau GNSS Permanent), which was deployed by the French Geographic Institute (IGNF), located in Socoa...

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Main Authors: Phuong Lan Vu, Minh Cuong Ha, Frédéric Frappart, José Darrozes, Guillaume Ramillien, Grégory Dufrechou, Pascal Gegout, Denis Morichon, Philippe Bonneton
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/11/7/782
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author Phuong Lan Vu
Minh Cuong Ha
Frédéric Frappart
José Darrozes
Guillaume Ramillien
Grégory Dufrechou
Pascal Gegout
Denis Morichon
Philippe Bonneton
author_facet Phuong Lan Vu
Minh Cuong Ha
Frédéric Frappart
José Darrozes
Guillaume Ramillien
Grégory Dufrechou
Pascal Gegout
Denis Morichon
Philippe Bonneton
author_sort Phuong Lan Vu
collection DOAJ
description In this study, three months of records (January–March 2010) that were acquired by a geodetic Global Navigation Satellite Systems (GNSS) station from the permanent network of RGP (Réseau GNSS Permanent), which was deployed by the French Geographic Institute (IGNF), located in Socoa, in the south of the Bay of Biscay, were used to determine the tide components and identify the signature of storms on the signal to noise ratio (SNR) during winter 2010. The Xynthia storm hit the French Atlantic coast on the 28th of February 2010, causing large floods and damages from the Gironde to the Loire estuaries. Blind separation of the tide components and of the storm signature was achieved while using both a singular spectrum analysis (SSA) and a continuous wavelet transform (CWT). A correlation of 0.98/0.97 and root mean square error (RMSE) of 0.21/0.28 m between the tide gauge records of Socoa and our estimates of the sea surface height (SSH) using the SSA and the CWT, respectively, were found. Correlations of 0.76 and 0.7 were also obtained between one of the modes from the SSA and atmospheric pressure from a meteorological station and a mode of the SSA. Particularly, a correlation reaches to 0.76 when using both the tide residual that is associated to surges and atmospheric pressure variation.
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spelling doaj.art-05e67780fc0644e092700e3b0707dfce2022-12-21T19:42:19ZengMDPI AGRemote Sensing2072-42922019-04-0111778210.3390/rs11070782rs11070782Identifying 2010 Xynthia Storm Signature in GNSS-R-Based Tide RecordsPhuong Lan Vu0Minh Cuong Ha1Frédéric Frappart2José Darrozes3Guillaume Ramillien4Grégory Dufrechou5Pascal Gegout6Denis Morichon7Philippe Bonneton8GET-GRGS, UMR 5563, CNRS/IRD/UPS, Observatoire Midi-Pyrénées, 14 Avenue Edouard Belin, 31400 Toulouse, FranceGET-GRGS, UMR 5563, CNRS/IRD/UPS, Observatoire Midi-Pyrénées, 14 Avenue Edouard Belin, 31400 Toulouse, FranceLEGOS-GRGS, UMR 5566, CNES/CNRS/IRD/UPS, Observatoire Midi-Pyrénées, 14 Avenue Edouard Belin, 31400 Toulouse, FranceGET-GRGS, UMR 5563, CNRS/IRD/UPS, Observatoire Midi-Pyrénées, 14 Avenue Edouard Belin, 31400 Toulouse, FranceGET-GRGS, UMR 5563, CNRS/IRD/UPS, Observatoire Midi-Pyrénées, 14 Avenue Edouard Belin, 31400 Toulouse, FranceGET-GRGS, UMR 5563, CNRS/IRD/UPS, Observatoire Midi-Pyrénées, 14 Avenue Edouard Belin, 31400 Toulouse, FranceGET-GRGS, UMR 5563, CNRS/IRD/UPS, Observatoire Midi-Pyrénées, 14 Avenue Edouard Belin, 31400 Toulouse, FranceUniversité de Pau et des Pays de l’Adour, Laboratoire de Sciences Appliquées au Génie Civil et au Génie Côtier JE2519, Allée du parc Montaury, 64600 Anglet, FranceUniversité Bordeaux 1, CNRS, UMR 5805 EPOC, Allée Geoffroy Saint-Hilaire—CS 50023, F-33615 Pessac, FranceIn this study, three months of records (January–March 2010) that were acquired by a geodetic Global Navigation Satellite Systems (GNSS) station from the permanent network of RGP (Réseau GNSS Permanent), which was deployed by the French Geographic Institute (IGNF), located in Socoa, in the south of the Bay of Biscay, were used to determine the tide components and identify the signature of storms on the signal to noise ratio (SNR) during winter 2010. The Xynthia storm hit the French Atlantic coast on the 28th of February 2010, causing large floods and damages from the Gironde to the Loire estuaries. Blind separation of the tide components and of the storm signature was achieved while using both a singular spectrum analysis (SSA) and a continuous wavelet transform (CWT). A correlation of 0.98/0.97 and root mean square error (RMSE) of 0.21/0.28 m between the tide gauge records of Socoa and our estimates of the sea surface height (SSH) using the SSA and the CWT, respectively, were found. Correlations of 0.76 and 0.7 were also obtained between one of the modes from the SSA and atmospheric pressure from a meteorological station and a mode of the SSA. Particularly, a correlation reaches to 0.76 when using both the tide residual that is associated to surges and atmospheric pressure variation.https://www.mdpi.com/2072-4292/11/7/782GNSSSingular Spectrum AnalysisContinuous Wavelet Transformtide gaugeinverted barometersurge storm
spellingShingle Phuong Lan Vu
Minh Cuong Ha
Frédéric Frappart
José Darrozes
Guillaume Ramillien
Grégory Dufrechou
Pascal Gegout
Denis Morichon
Philippe Bonneton
Identifying 2010 Xynthia Storm Signature in GNSS-R-Based Tide Records
Remote Sensing
GNSS
Singular Spectrum Analysis
Continuous Wavelet Transform
tide gauge
inverted barometer
surge storm
title Identifying 2010 Xynthia Storm Signature in GNSS-R-Based Tide Records
title_full Identifying 2010 Xynthia Storm Signature in GNSS-R-Based Tide Records
title_fullStr Identifying 2010 Xynthia Storm Signature in GNSS-R-Based Tide Records
title_full_unstemmed Identifying 2010 Xynthia Storm Signature in GNSS-R-Based Tide Records
title_short Identifying 2010 Xynthia Storm Signature in GNSS-R-Based Tide Records
title_sort identifying 2010 xynthia storm signature in gnss r based tide records
topic GNSS
Singular Spectrum Analysis
Continuous Wavelet Transform
tide gauge
inverted barometer
surge storm
url https://www.mdpi.com/2072-4292/11/7/782
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