Determination of Long-Term (1993–2019) Sea Level Rise Trends Around the Korean Peninsula Using Ocean Tide-Corrected, Multi-Mission Satellite Altimetry Data

Lee, KyungJae; Nam, SungHyun; Cho, Yang‐Ki; Jeong, Kwang Yong; Byun, Do-Seong

doi:10.3389/fmars.2022.810549

Cited by 7 publications

(5 citation statements)

References 41 publications

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“…pH, calcium carbon saturation status, and DO concentration in the deep waters have decreased, whereas DIC and AOU have increased. Long-term time series, collected either remotely or by field observations, are essential if we are to detect any changes associated with the ongoing climate changes (Lee and Park, 2019;Lee et al, 2022).…”

Section: Summary and Suggestions For Future Researchmentioning

confidence: 99%

Carbon cycling in the East Sea (Japan Sea): A review

Kim

Hwang²,

Kim³

et al. 2022

Front. Mar. Sci.

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The East Sea (also known as the Japan Sea; hereafter, EJS) is a semi-enclosed marginal sea surrounded by the Korean Peninsula, Russia, and the Japanese Islands. The EJS is connected to the Pacific through shallow straits. Thus, the EJS has its own thermohaline circulation and the characteristic biogeochemistry. The deep overturning circulation plays a critical role in carbon cycling including absorption of atmospheric CO2 and its sequestration into the interior of the sea. The turnover time of the deep EJS (>1000 m) is ~ hundred years and probably varies depending on physical climate forcing. Thus, the effect of climate change on oceanic processes may be more easily detected in the EJS. In this paper, we summarize the current understanding of carbon cycling in the EJS. We focus especially on the Ulleung Basin in the southwestern EJS, from which more extensive data are available. Notable features of carbon cycling in the EJS include the following: primary productivity and the export/production ratio are higher than in the adjacent Pacific; the EJS is a net sink of atmospheric CO2 and anthropogenic CO2 content is ~1% of the dissolved inorganic carbon inventory; dissolved inorganic carbon in the sea interior is mostly supplied by organic matter decomposition rather than CaCO3 dissolution and thus, the deep waters are vulnerable to acidification; N:P molar ratio of the deep waters is ~13, lower than the Redfield ratio; concentration of dissolved organic carbon is significantly higher than in the oceans; and sediment resuspension and lateral transport is an important component of sinking particulate organic carbon (POC) flux. Another important feature is the temporal trends observed for the last few decades. For example, pH, calcium carbonate saturation status, and dissolved oxygen concentration in the sea interior have decreased, whereas dissolved inorganic carbon and likely, the inventory of anthropogenic CO2 have increased. These temporal trends have an implication on better understanding of the processes occurring more slowly in the oceans. Brief suggestions for future research that will improve our understanding of carbon cycling and its variability are provided at the end of the paper.

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Section: Summary and Suggestions For Future Researchmentioning

confidence: 99%

Carbon cycling in the East Sea (Japan Sea): A review

Kim

Hwang²,

Kim³

et al. 2022

Front. Mar. Sci.

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“…Calculated mean absolute errors (MAEs) of the 4major constituents between 17 tide gauges and simulation results are also listed in table 1. Compared to recent assimilation models (EOT20, FES2014, NAO.99Jb), the MAEs of 0 m run is about twice, but our simulate results are not bad compared to other models (FES2012, TPX08, HAMTIDE 11a, DTU10, EOT11a) (Lee et al 2022, Liu et al 2023. Therefore, it can be considered that simulation error of MOHID model does not have a significant effect on various reclamation experiments.…”

Section: Model Validationmentioning

confidence: 52%

Effects of stepwise tidal flat reclamation on tidal evolution in the East China and Yellow Sea

Lim,

Chang,

Cho

2023

Environ. Res. Lett.

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Because many coastal developments have been continuously occurred in the Yellow and the East China Sea, it is necessary to analyze the effect of persistent topographic change. This study simulated the tidal change in response to stepwise tidal flat reclamation in East China and the Yellow Sea using the MOdelo HIDrodinâmico (MOHID) ocean model. Based on previous studies and historical coastal information maps, we conducted several numerical experiments with reliable coastal topography changes around two areas (Jiangsu Shoalwater and Gyeonggi Bay) from 1990 to 1994 when the most active development took place. The results show that, unlike other components (S2, O1, and K1), the simulated amplitude of the M2 constituent significantly increased with the disappearance of the tidal flat in the Yellow Sea. At the same time, it decreased in the East China Sea. These results are consistent with the quantile regression analysis using observational data. We also found an accumulating effect of tidal energy flux when the reclamation continued, which does not appear in the previous studies. These results indicate persistent man-made tidal flat reclamation in a specific area can cause more remarkable regional tidal changes through tidal energy redistribution and modification.

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“…Additionally, the dataset underwent further refinement for glacial isostatic adjustment (GIA) using the ICE5G-VM2 GIA model 50 to isolate oceanographic phenomena. Widely employed by researchers in investigating sea level variability, ocean dynamics, and coastal processes (e.g., 24 , 51 , 52 ), the data was accessed from the CMEMS archive at http://marine.copernicus.eu/ . Furthermore, supplementary datasets encompassing air temperature, u wind (10 m), v wind (10 m), total precipitation, evaporation, Atmospheric pressure, net shortwave radiation, net longwave radiation, surface latent heat flux, and sensible heat flux at a single pressure level were sourced from the European Centre for Medium-range Weather Forecasts 53 reanalysis era5 data, accessible at http://cds.climate.copernicus.eu/ .…”

Section: Methodsmentioning

confidence: 99%

Sea level variability and modeling in the Gulf of Guinea using supervised machine learning

Ayinde,

Yu,

2023

Sci Rep

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The rising sea levels due to climate change are a significant concern, particularly for vulnerable, low-lying coastal regions like the Gulf of Guinea (GoG). To effectively address this issue, it is crucial to gain a comprehensive understanding of historical sea level variability, and the influencing factors, and develop a reliable modeling system for future projections. This knowledge is essential for informed planning and mitigation strategies aimed at protecting coastal communities and ecosystems. This study presents a comprehensive analysis of mean sea level anomaly (MSLA) trends in the GoG between 1993 and 2020, covering three distinct periods (1993–2002, 2003–2012, and 2013–2020). It investigates the connections between interannual sea level variability and large-scale oceanic and atmospheric forcings. Furthermore, the study evaluates the performance of supervised machine learning techniques to optimize sea level modeling. The findings reveal a consistent rise in MSLA linear trends across the basin, particularly pronounced in the northern region, with a total linear trend of 88 mm over the entire period. The highest decadal trend (38.7 mm) emerged during 2013–2020, with the most substantial percentage increment (100%) occurring in 2003–2012. Spatial variation in decadal sea-level trends was influenced by subbasin physical forcings. Strong interannual signals in the spatial sea level distribution were identified, linked to large-scale oceanic and atmospheric phenomena. Seasonal variations in sea level trends are attributed to seasonal changes in the forcing factors. The evaluation of supervised learning modeling methods indicates that Random Forest Regression and Gradient Boosting Machines are the most accurate, reproducing interannual sea level patterns in the GoG with 97% and 96% accuracy. These models could be used to derive regional sea level projections via downscaling of climate models. These findings provide essential insights for effective coastal management and climate adaptation strategies in the GoG.

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Determination of Long-Term (1993–2019) Sea Level Rise Trends Around the Korean Peninsula Using Ocean Tide-Corrected, Multi-Mission Satellite Altimetry Data

Cited by 7 publications

References 41 publications

Carbon cycling in the East Sea (Japan Sea): A review

Carbon cycling in the East Sea (Japan Sea): A review

Effects of stepwise tidal flat reclamation on tidal evolution in the East China and Yellow Sea

Sea level variability and modeling in the Gulf of Guinea using supervised machine learning

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