Acta Geodaetica et Cartographica Sinica ›› 2020, Vol. 49 ›› Issue (9): 1168-1178.doi: 10.11947/j.AGCS.2020.20200228

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Retrieval of coastal typhoon storm surge using multi-GNSS-IR

HE Xiufeng, WANG Jie, Wang Xiaolei, SONG Minfeng   

  1. School of Earth Science and Engineering, Hohai University, Nanjing 211100, China
  • Received:2020-06-08 Revised:2020-08-14 Published:2020-09-19
  • Supported by:
    The National Natural Science Foundation of China(No. 41830110);The National Key Research Development Program of China(No. 2018YFC1503603)

Abstract: Typhoon storm surges cause great losses to coastal cities every year. In recent years, a ground-based remote sensing technology using GNSS reflected signal has been proved to be able to monitor tidal level, called global navigation satellite system interferometric reflectometry (GNSS-IR), which can supplement the data of tide gauge. However, storm surges have strong destructiveness and occur quickly, the time resolution of GPS cannot meet the requirement to monitor this marine disaster. In this paper, three coastal storm surge events were monitored using the multi-mode and multi-frequency GNSS data of HKQT site in Hong Kong, China and BHMA site in Bahamas Islands. Firstly, we analyzed the quality of multiple system data. Then, multi-mode and multi-frequency GNSS-IR was used for monitoring three storm surges caused by hurricane "Dorian" in 2019, typhoon "Mangkhut" in 2018 and typhoon "Hato" in 2017.The sliding window least squares method was used to correct the results and compared with tide gauge observations. The experimental results showed that the accuracy of "Dorian" is better than 14 cm, and the accuracy of "Hato" and "Mangkhut" are both better than 9 cm. Compared with GPS, it could improve the accuracy and the time resolution of the results, which is helpful to record the whole process of tide rising, peak and falling in storm surge. And it can play an important role in the study of marine disasters.

Key words: GNSS-IR, storm surge, retrieval, multiple system, sea surface

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