the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Application of quality-controlled sea level height observation at the central East China Sea: Assessment of sea level rise
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.
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RC1: 'Comment on egusphere-2024-3380', Anonymous Referee #1, 05 Dec 2024
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Review of “Application of quality-controlled sea level height observation at the central East China Sea: Assessment of sea level rise”
The authors propose a new method, called TALOD, to perform quality control on the sea level height (SLH) measured by the radar located in I-ORS. TALOD detects problems with metadata, out of range data, spikes and stuck data. This new method is compared to the existing IOC method. The quality-controlled data is compared to HYCOM, GLORYS and ERAS5. Thus, TALOD proves to work correctly. The good data is further used to compute sea level rise (SLR), which leads to the conclusion that SLR in this location is due to vertical land movement (VLM).
This manuscript is clear and well written. I appreciate that the authors are adapting the TALOD method for the sea level height observations in open ocean. Also, the type of bad data is even further categorized, which brings much information on how SLH behaves.
Detailed comments:
-Please do an analysis on the tides.
-Please specify the constituents considered in this study.
Fig. 1: characters should be larger.
L250-253: There really should not be so many stuck errors in a modern sensor, is there an explanation for that?
L270: Yes, recurrent spikes make the automatic detection “think” they are good values. Good job, there, solving the issue by computing a local bias.
L420 -HYCOM shows a trend in SLH of -23.86mm/yr, which is quite high. Please consider whether it is a good model to compare to.
Sec 3.3 Great analysis of the contribution to sea level rise on this site.
Citation: https://doi.org/10.5194/egusphere-2024-3380-RC1
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