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Cloud-based near real-time sea level monitoring using GNSS reflectometry by Zhihao Liu; Lan Du; Peiyuan Zhou; Xiaolei Wang; Zhongkai Zhang; Zejun Liu is a Engineering article available to read on EtoBox.

What is Cloud-based near real-time sea level monitoring using GNSS reflectometry about?

In addition to traditional tide gauges, the ground-based global navigation satellite system reflectometry (GNSS-R) that utilizes signal-to-noise ratio data from a single GNSS receiver has become another promising alternative for sea level monitoring. However, its application is limited by retrieval precision, especially in large tidal variation environments. On the other hand, previous studies have focused on performance improvement by using post-processing strategies, which cannot support practical (near-) real-time applications. In this work, we present a method using a robust Kalman filter to provide near real-time sea level measurements based on cloud service, achieving both high precision and high temporal resolution. A coastal GNSS station BRST with large tidal variations was selected for experimental validation. First, 30 days of archived GNSS observations were used for performance assessment. It is observed that high-precision sea level retrievals with a 5-min sampling interval can be obtained, which reaches a root-mean-square error of 5.87 cm and a correlation of 99.93% compared to the tide gauge records. Then, based on the Alibaba cloud service, we implemented a near real

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Author

Zhihao Liu; Lan Du; Peiyuan Zhou; Xiaolei Wang; Zhongkai Zhang; Zejun Liu

Publisher

Springer Science and Business Media LLC

Published

2023

Language

EN

Field

Engineering (Physical Sciences)