globalchange  > 气候变化事实与影响
DOI: 10.3390/rs11070782
WOS记录号: WOS:000465549300047
论文题名:
Identifying 2010 Xynthia Storm Signature in GNSS-R-Based Tide Records
作者: Phuong Lan Vu1; Minh Cuong Ha1,2; Frappart, Frederic3; Darrozes, Jose1; Ramillien, Guillaume1; Dufrechou, Gregory1; Gegout, Pascal1; Morichon, Denis4; Bonneton, Philippe5
通讯作者: Phuong Lan Vu
刊名: REMOTE SENSING
ISSN: 2072-4292
出版年: 2019
卷: 11, 期:7
语种: 英语
英文关键词: GNSS ; Singular Spectrum Analysis ; Continuous Wavelet Transform ; tide gauge ; inverted barometer ; surge storm
WOS关键词: SEA-LEVEL RISE ; SINGULAR-SPECTRUM ANALYSIS ; CLIMATE-CHANGE ; WAVELET TRANSFORM ; GPS ; BAY ; IMPACTS ; SURGES ; REFLECTOMETRY ; MULTIPATH
WOS学科分类: Remote Sensing
WOS研究方向: Remote Sensing
英文摘要:

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 (Reseau 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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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/132707
Appears in Collections:气候变化事实与影响

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作者单位: 1.UPS, Observ Midi Pyrenees, GET GRGS, IRD,CNRS,UMR 5563, 14 Ave Edouard Belin, F-31400 Toulouse, France
2.VUSTA, Inst Dev Adv Tech & Technol IDAT, Hanoi, Vietnam
3.UPS, Observ Midi Pyrenees, LEGOS GRGS, CNES,IRD,CNRS,UMR 5566, 14 Ave Edouard Belin, F-31400 Toulouse, France
4.Univ Pau & Pays Adour, Lab Sci Appl Genie Civil & Genie Cotier JE2519, Allee Parc Montaury, F-64600 Anglet, France
5.Univ Bordeaux 1, CNRS, UMR 5805, EPOC, Allee Geoffroy St Hilaire CS 50023, F-33615 Pessac, France

Recommended Citation:
Phuong Lan Vu,Minh Cuong Ha,Frappart, Frederic,et al. Identifying 2010 Xynthia Storm Signature in GNSS-R-Based Tide Records[J]. REMOTE SENSING,2019-01-01,11(7)
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