EGU25-15138, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-15138
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Wednesday, 30 Apr, 17:00–17:10 (CEST)
 
Room 0.49/50
Multidecadal Sea Level Time Series at the Ieodo Ocean Research Station: A New Approach for the Assessment of Sea Level Rise in the East China Sea
Yong Sun Kim1, Taek-Bum Jeong2, Hyeonsoo Cha3, Kwang-Young Jeong4, Mi-Jin Jang1, Jin-Yong Jeong1, and Jae-Ho Lee1
Yong Sun Kim et al.
  • 1Korea Institute of Ocean Science and Technology, Korea, Republic of (yongskim@kiost.ac.kr)
  • 2Pusan National University, Busan, Korea, Republic of
  • 3Jeju National University, Jeju, Korea, Republic of
  • 4Korea Hydrographic and Oceanographic Agency, Busan, Korea, Republic of

This study presents a ten-minute interval sea level height (SLH) time series observed from wave radar MIROS SM-140 equipped at the Ieodo Ocean Research Station (I-ORS), a steel framed tower-type multidisciplinary research platform, a unique in situ measurement in the open sea for over two decades. To assess the practicability of the observed SSH, we developed a tidal model-based QC procedure, which has two notable differences in characteristics from the typical ones: 1) a spatiotemporally optimized local range check based on the high-resolution tidal prediction model TPXO9 and 2) consideration of the occurrence rate of a stuck value over a specific period. Comprehensive comparisons with typical QC processes, satellite altimetry, and reanalysis products demonstrate that our approach could provide reliable SLH time series with few misclassifications. A budget analysis demonstrated that the barystatic effect primarily caused sea level rise around the I-ORS. As a representative of sea level fluctuations in the central East China Sea, this qualified SLH time series enables dynamic research, spanning from a few hours of nonlinear waves to a decadal trend with simultaneously observed environmental variables from the I-ORS’ air–sea monitoring system.

How to cite: Kim, Y. S., Jeong, T.-B., Cha, H., Jeong, K.-Y., Jang, M.-J., Jeong, J.-Y., and Lee, J.-H.: Multidecadal Sea Level Time Series at the Ieodo Ocean Research Station: A New Approach for the Assessment of Sea Level Rise in the East China Sea, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-15138, https://doi.org/10.5194/egusphere-egu25-15138, 2025.