Preprints
https://doi.org/10.5194/egusphere-2024-3380
https://doi.org/10.5194/egusphere-2024-3380
13 Nov 2024
 | 13 Nov 2024
Status: this preprint is open for discussion.

Application of quality-controlled sea level height observation at the central East China Sea: Assessment of sea level rise

Taek-Bum Jeong, Yong Sun Kim, Hyeonsoo Cha, Kwang-Young Jeong, Mi-Jin Jang, Jin-Yong Jeong, and Jae-Ho Lee

Abstract. This study presents the state-of-the-art quality control (QC) process for sea level height (SLH) time series observed at the Ieodo Ocean Research Station (I-ROS) in the central East China Sea, a unique in-situ measurement in the open sea for over two decades with a 10-minute interval. The newly developed QC procedure called the Temporally And Locally Optimized Detection (TALOD) method has two notable differences in characteristics from the typical ones: 1) spatiotemporally optimized local range check based on the high-resolution tidal prediction model TPXO9, 2) considering the occurrence rate of a stuck value over a specific period. Besides, the TALOD adopts an extreme event flag (EEF) system to provide SLH characteristics during extreme weather. A comparison with the typical QC process, satellite altimetry, and reanalysis products demonstrates that the TALOD method can provide reliable SLH time series with few misclassifications. Through budget analysis, it was determined that the sea level rise at I-ORS is primarily caused by the barystatic effect, and the trend differences between observations, satellite, and physical processes are related to vertical land motion. It was confirmed through GNSS that ground subsidence of -0.89±0.47 mm/yr is occurring at I-ORS. As a representative of the East China Sea, this qualified SLH time series makes dynamics research possible spanning from a few hours of nonlinear waves to a decadal trend, along with simultaneously observed environmental variables from the air-sea monitoring system in the research station. This TALOD QC method is designed for SLH observations in the open ocean, but it can be generally applied to SLH data from tidal gauge stations in the coastal region.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Taek-Bum Jeong, Yong Sun Kim, Hyeonsoo Cha, Kwang-Young Jeong, Mi-Jin Jang, Jin-Yong Jeong, and Jae-Ho Lee

Status: open (until 19 Jan 2025)

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Taek-Bum Jeong, Yong Sun Kim, Hyeonsoo Cha, Kwang-Young Jeong, Mi-Jin Jang, Jin-Yong Jeong, and Jae-Ho Lee
Taek-Bum Jeong, Yong Sun Kim, Hyeonsoo Cha, Kwang-Young Jeong, Mi-Jin Jang, Jin-Yong Jeong, and Jae-Ho Lee

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Short summary
This study presents a new method to improve the accuracy of sea level height from the Ieodo Ocean Research Station in the East China Sea. The method helps identify data errors, such as repeated or unusual values, and flags extreme weather events. The analysis found that sea level rise are mostly due to ocean mass changes, with local ground subsidence also playing a role. This high-quality data supports research on short-term and long-term events, helping coastal monitoring and planning efforts.