Evaluation and improvement of coastal GNSS reflectometry sea level variations from existing GNSS stations in Taiwan. Issue 3 (1st February 2019)

• Record Type: Journal Article
• Authors: Lee, Chi-Ming; Kuo, Chung-Yen; Sun, Jian; Tseng, Tzu-Pang; Chen, Kwo-Hwa; Lan, Wen-Hau; Shum, C.K.; Ali, Tarig; Ching, Kuo-En; Chu, Philip; Jia, Yuanyuan
• Is Part Of: Advances in space research. Volume 63:Issue 3(2019)
• Page Start: 1280
• Page End: 1288
• Publication Date: 2019-02-01
• Subjects: Global navigation satellite systems (GNSS) -- Signal-to-noise ratio (SNR) -- Lomb-Scargle periodogram (LSP) -- Tidal harmonic analysis; Space sciences -- Periodicals; Astronautics -- Periodicals; Geophysics -- Periodicals; 500.505
• DOI: 10.1016/j.asr.2018.10.039
• Languages: English
• ISSNs: 0273-1177

Abstract

Abstract: Global sea level rise due to an increasingly warmer climate has begun to induce hazards, adversely affecting the lives and properties of people residing in low-lying coastal regions and islands. Therefore, it is important to monitor and understand variations in coastal sea level covering offshore regions. Signal-to-noise ratio (SNR) data of Global Navigation Satellite System (GNSS) have been successfully used to robustly derive sea level heights (SLHs). In Taiwan, there are a number of continuously operating GNSS stations, not originally installed for sea level monitoring. They were established in harbors or near coastal regions for monitoring land motion. This study utilizes existing SNR data from three GNSS stations (Kaohsiung, Suao, and TaiCOAST) in Taiwan to compute SLHs with two methods, namely, Lomb–Scargle Periodogram (LSP)-only, and LSP aided with tidal harmonic analysis developed in this study. The results of both methods are compared with co-located or nearby tide gauge records. Due to the poor quality of SNR data, the worst accuracy of SLHs derived from traditional LSP-only method exceeds 1 m at the TaiCOAST station. With our procedure, the standard deviations (STDs) of difference between GNSS-derived SLHs and tide gauge records in Kaohsiung and Suao stations decreased to 10 cm and the results show excellent agreement with tide gauge derived relative sea level records, with STD of differences of 7 cm and correlation coefficient of 0.96. In addition, the absolute GNSS-R sea level trend in Kaohsiung during 2006–2011 agrees well with that derived from satellite altimetry. We conclude that the coastal GNSS stations in Taiwan have the potential of monitoring absolute coastal sea level change accurately when our proposed methodology is used.