|Table of Contents|

Change of Sea Surface Height Monitored by GNSS Reflected Signals—Based on Data from BRST Station in France from 2019 to 2021(PDF)

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

Issue:
2023年第03期
Page:
548-558
Research Field:
大地测量、遥感与地学大数据
Publishing date:

Info

Title:
Change of Sea Surface Height Monitored by GNSS Reflected Signals—Based on Data from BRST Station in France from 2019 to 2021
Author(s):
GUO Fei;  LI Bai-han;  ZHANG Zhi-yu;  LIU Wan-ke*
(School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, Hubei, China)
Keywords:
GNSS reflectometry;  sea surface height;  sea level change;  signal-to-noise ratio;  reflected signal;  dynamic tide level correction;  tidal constituent extraction;  remote sensing
PACS:
P228
DOI:
10.19814/j.jese.2023.01018
Abstract:
Global navigation satellite system reflectometry(GNSS-R)has shown great potential in surface and marine environment parameters monitoring, with the advantages of extensive data sources, low cost, high spatial and temporal resolution, and has become an important approach for sea surface height(SSH)inversion. The existing research mainly focuses on the short-term GPS sea surface inversion within 3-6 months, which is difficult to reflect the seasonal variation and interannual characteristics of SSH. Meanwhile, only the influence of vertical velocity is considered in the dynamic sea surface correction, and the vertical acceleration of sea surface fluctuation is ignored, resulting in the poor estimation accuracy of low and high tide levels. For the above issues, a shore-based tracking station BRST in France was taken as an example, and the reflected signals of 3 consecutive years from BDS/GPS/GLONASS/Galileo system were used to estimate SSH. Based on Lomb-Scargle spectrum analysis and second-order dynamic tide level correction model, a robust regression strategy was adopted. The estimation results were compared with tide gauge records to analyze the trend of sea level change. The results show that the inversion results of GNSS-R technology are in good agreement with tide gauge records, and the inversion accuracy has a tendency to improve year by year, with a root mean square error(RMSE)of 7.57 cm and a correlation coefficient of 0.935 for the three-year daily average; the seasonal variation of SSH is obvious, the average SSH is high in autumn and winter, and low in summer, and the seasonal variation of SSH is opposite to that of temperature; the differences of amplitude for nine tidal constituents including M2, S2, K1, O1, N2, K2, P1, Q1 and M4, range from 0.06 cm to 6.76 cm with the mean absolute error(MAE)of 1.60 cm, and the differences of phase range from 0.03° to 6.96° with the MAE of 2.45°. It is further verified that the reliability of GNSS-R technology in monitoring SSH change in the frequency domain.

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Last Update: 2023-05-30