How to cite: Ramos-Musalem, K., Mitre-Apáez, A., and Estrada-Allis, S.: Tidal rectification and exchange at the neck of a canyon–bay system: a tides-only modeling framework, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-907, https://doi.org/10.5194/egusphere-egu26-907, 2026.

Under the influence of global warming and human activities, deoxygenation in coastal waters worldwide is intensifying, posing a persistent threat to marine ecosystem health. Deoxygenation events in the Yangtze Estuary and the East China Sea are consequences of the intricate interplay of multiple physical and biogeochemical processes, such as oxygen consumption through organic matter decomposition and oxygen supply via advection or diffusion. In this study, we employ the unstructure-grid hydrodynamic model SCHISM coupled with the biogeochemical model CoSiNE to investigate the direct and indirect effects of hydrodynamic processes, and to reveal the mechanisms of physical-biogeochemical interactions between shelf circulations and coastal pelagic ecosystem on deoxygenation in the East China Sea. The model simulations are used to elucidate the combined influence of the Yangtze River diluted water, the Kuroshio subsurface water, and the Yellow Sea cold water masses and to quantify the key processes driving nutrient and oxygen budgets, which jointly regulate the deoxygenation in the East China Sea. The coupled framework will be used to predict future trends of deoxygenation associated with the projected climate change scenarios.

How to cite: Xu, X. and Xue, H.: Physical-Biogeochemical Coupling Mechanisms of Deoxygenation Events in the East China Sea, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6148, https://doi.org/10.5194/egusphere-egu26-6148, 2026.

The Elbe estuary located in northern Germany plays a critical role in European maritime trade, primarily through the Port of Hamburg. In this area, however, low-oxygen events i.e., lower dissolved oxygen concentration than expected for an extended period of time, threaten the ecological state and the provision of ecosystem services, especially in summer. Here, we use long-term observations and numerical modelling to analyze the co-occurrence of marine heatwaves i.e., anomalously water warmer than expected for an extended period of time, and low-oxygen events in the tidal Elbe from 2017 to 2024. Statistical analyses reveal a great level of co-occurrence between heatwaves and low-oxygen events specially in spring (31%) and summer (42%).

The degree of co-occurrence varies spatially, with stations downstream of the Port of Hamburg being more susceptible to low-oxygen events during heatwaves. Our model analyses show that mineralization and nitrification increase during spring heatwaves, and primary production also decreases during summer heatwaves, suggesting that different mechanisms act in each season causing low-oxygen events due to heatwaves. Water temperature controls the main oxygen-consuming biogeochemical processes, which are accelerated with warm periods and lead to low oxygen conditions.

How to cite: Purkiani, K. and García-Oliva, O.: Seasonal mechanisms of low-oxygen events in the Elbe estuary, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14719, https://doi.org/10.5194/egusphere-egu26-14719, 2026.

Multiple long-standing gaps in our understanding of the Arabian/Persian Gulf Outflow (AGO) hinder a detailed characterisation of the AGO as well as an assessment of the impact on the Arabian Sea. These gaps include a lack of systematic AGO thickness budgets, missing observational evidence for detachment thresholds, poorly constrained downstream mixing pathways, insufficient mapping of bathymetric controls on the outflow, sparse data on along-path oxygen modification, and no prior linkage between AGO physical structure and ecosystem, e.g., benthic zonation. Here, we present new high-resolution observational mapping of the AGO thickness, attachment/detachment behaviour, lateral mixing, and benthic changes on the seafloor in the Gulf of Oman, at the mouth of the Arabian Sea. We present seasonal CTD data, combined with high-resolution bathymetry and ROV observations. These data allow us to (1) resolve AGO thickness variability along the margin, (2) identify seafloor attachment and detachment zones, (3) map fine-scale oxygen and pH modification of the outflow, and (4) document changes in marine benthic zonation consistent with AGO boundary-layer structure.

How to cite: Abdelmaksoud, A., Al-Suwaidi, A., and Ali, M.: Shelf turbulence-driven mixing of the Arabian Gulf outflow: Impacts on the Arabian Sea Oxygen Minimum Zone and marine ecosystem, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6174, https://doi.org/10.5194/egusphere-egu26-6174, 2026.

In situ obsersavations collected by thermosalinographs (TSG) provide valuable information on sea surface temperature (SST) and salinity (SSS) in coastal and shelf regions, where strong spatial gradiants and short-scale variability occur. TSG measurements offer high resolution along survey transects, capturing small scale fluctuations and offers a valuable opportunity for evaluating ocean models and satellite products.

In this study, TSG data aquired during multiple fisheries monitoring surveys from 2019 to 2024 along the Portuguese coast are used to assess the accuracy of SST and SSS fields from the Iberian-Biscay-Irish (IBI) reanlysis, provided by the Copernicus Marine Service, and a dedicated regional CROCO ocean model simulation specifically configured for western iberia. Satellite SST products from the Multiscale Ultrahigh Resolution (MUR) and Mediterranean Sea Ultra High Resolution (MED - UHR) are also compared with in situ observations to examine consistency across observation plataforms. For all surveys, model and satellite data are extracted at the nearest spatial and temporal points matching the TSG measurements processed at the appropriate spatial scales. Statistical skill metrics (bias, correlation coefficient, RMSD, MAE, and Skill score) are applied systematecally across all surveys.

The results show that, although SST is generally well reproduced, SSS displays larger discrepancies in IBI reanalysis, which tends to underestimate nearshore salinity. To improve the representation of nearshore SSS, sensitivity simulations were conducted using the CROCO model with prescribed riverine salinity and daily river discharge. These simulations highlight the importance of ensuring accurate river discharge and salinity values to represent coastal SSS variability and riverine low-salinity plumes along the Portuguese margin.

This evaluatin provides insight into the strengths and limitations of existing models and satellite products, guiding our ongoing efforts to improve our regional simulations of the Ibearin margin and to investigate its physical and biogeochemical processes.

How to cite: Nunes, P., Teles-Machado, A., Moreno, A., Angélico, M. M., Peliz, Á., and B. Oliveira, P.: From Ship to Model: Assessing SST and SSS with TSG Data, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-996, https://doi.org/10.5194/egusphere-egu26-996, 2026.

Offshore floating solar parks are emerging as a promising renewable energy technology, but we still know very little about how they may affect the marine environmental beneath and around them. In particular, their influence on biogeochemical processes such as light availability, primary production, and pelagic and benthic nutrient dynamics remains largely unexplored. In this work, we use a coupled GETM-ERSEM-BFM modeling framework to study the biogeochemical footprint of offshore solar parks. We have developed a 3D nested model system, starting with a regional 5 km resolution model and refining it to a high resolution 500 m domain that focuses on the solar park area. This setup allows us to capture both Rhine plume dynamics and seasonal variability along Dutch coast, while also resolving smaller-scale processes that are important close to the solar parks.

We present first results from the nested model, showing how physical conditions and key biogeochemical variables respond to the presence of floating solar installations. The initial simulations indicate localized changes near the surface, particularly related to light, which in turn influence biological activity. To build confidence in the model setup, we also include preliminary validation by comparing the nested model results with reference simulations and available data. Although these results are still exploratory, they demonstrate the potential of high resolution nested models to investigate environmental effects of offshore solar parks and form a basis for more detailed impact studies in the future.

How to cite: Jr, R. and Van der Molen, J.: Simulating the biogeochemical footprint of offshore solar parks, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3902, https://doi.org/10.5194/egusphere-egu26-3902, 2026.

In January 2002 the project "Research Platforms in the North and Baltic Sea" (FINO) was initiated by the German Federal Government. Within this project, three research platforms were constructed for long-term, high-resolution monitoring adjacent to planned and operational wind farms. Two of the platforms are located in the North Sea and one in the Baltic Sea. The research platforms have been collecting a comprehensive, multi-parameter dataset comprising oceanographic and meteorological variables. Therefore, these platforms deliver a continuous dataset of environmental measurements before, during and after offshore wind farm construction.

In this contribution, we provide an overview of this long-term dataset, including guidance on its access and usage. The dataset is freely accessible via the data portals of the German Federal Maritime Agency (BSH, Insitu-Portal) and the Copernicus Marine Service (CMS), offering a unique resource for research in climate change, meteorology, oceanography, and renewable energy.

The dataset is widely used for model validation, interdisciplinary research, and operational decision-making by offshore wind farm operators. Its long-term, high-resolution nature makes it particularly valuable for assessing environmental impacts of offshore wind farms and supporting the transition towards sustainable energy.

How to cite: Krohn, L., Cañadillas, B., Deiber, S., Jendersie, F., Lehmann, F., Lutz, D., Lampert, A., Mark, A., Moritz, M., Müller, S., Heiderich, J., Herklotz, K., Harmsen, P., and Stohr, E.: The FINO Dataset: Over20-years of Oceanographic and MeteorologicalMonitoring in Offshore Wind FarmEnvironments, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20965, https://doi.org/10.5194/egusphere-egu26-20965, 2026.

Recently started the Digital Twin of the Ocean for Offshore Wind Energy (DTO4OWF) project is a 36-month European research and innovation project supporting the sustainable expansion of offshore wind energy in the Baltic and North Seas (BS & NS). According to EMODnet, more than 300 offshore wind farms are planned in EU waters over the incoming decade. This rapid development poses significant challenges related to ecosystem protection and biodiversity conservation, while simultaneously requiring efficient use of wind resources and marine space across multiple temporal scales.
DTO4OWF addresses these challenges through the development of fit-for-purpose, sub-regional Digital Twins of the Ocean (DTOs) that will integrate coupled physical, biogeochemical, ecological, and climate processes. The DTOs will be built using high-resolution, process-based numerical models, constrained by in situ observations, satellite remote sensing, and data assimilation techniques. Machine learning methods are employed to enhance model performance, reduce computational costs, and support scenario-based analyses. The project focuses on five key areas within BS and NS basins, selected to represent contrasting environmental conditions and different stages of offshore wind farm development. For each area, the DTO framework enables the assessment of offshore wind farm impacts across multiple spatial and temporal scales, including short-term operational effects and long-term climate-related changes. The resulting decision-support tools facilitate optimized site selection, safer operations, improved environmental impact assessments, and sustainable marine spatial planning. All applications are designed to be transferable to other European regions and interoperable with EDITO, Destination Earth, and EMODnet infrastructures.
The DTO4OWF consortium consists of 11 partners, and the project leader is Tallinn University of Technology (TalTech, Estonia). The IOPAN contributions focuses on offshore wind farms located in the southern Baltic Sea, with particular emphasis on offshore wind farm–sea ice interactions. The methodological approach is based on high-resolution numerical simulations using the Community Ice CodE (CICE) model, including fast-ice parameterization adapted to shallow, semi-enclosed basin conditions. Model experiments are designed to compare baseline simulations with scenarios including offshore wind farm infrastructure, represented through modified boundary conditions and obstacle-induced ice attachment processes. The simulations are evaluated using available observational data on sea ice extent, thickness, and duration, enabling qualitative and quantitative assessment of wind farm impacts on ice dynamics. This contribution presents the methodological framework, planned sensitivity experiments, and preliminary results illustrating the potential role of offshore wind farms in fast ice formation in the southern Baltic Sea.

Digital Twin of the Ocean for Offshore Wind Energy (DTO4OWE), under the framework of the Sustainable Blue Economy Partnership (SBEP), funded by the National Centre for Research and Development.

How to cite: Jakacki, J., Darecki, M., Muzyka, M., Przyborska, A., Dzierzbicka-Głowacka, L., Dybowski, D., and Janecki, M.: Towards Sub-Regional Digital Twins of the Ocean for Integrated Offshore Wind Energy Impact Studies, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12804, https://doi.org/10.5194/egusphere-egu26-12804, 2026.

The NEPTUNE Observatory is a cabled network of seafloor oceanographic instruments in the Northeast Pacific operated by Ocean Networks Canada. Since 2009, there have been many deployments of a Vertical Profiler on the observatory on the upper slope of the continental margin. However there have been many challenges resulting in differing degrees of success and deployment lengths. Currently the profiler is in 400m of water since May of 2024 working on a reduced schedule to help ensure a full annual cycle. Prior to this deployment we’ve had two deployments that survived a significant portion of the year, in addition to shorter deployments.

The placement of the vertical profiler is at 400m depth down the slope of the nominally 200m deep shelf. The slope proceeds down to about 2000m passing a plate subduction zone and meeting the gently sloping Cascadia abyssal plain. The continental slope along the west coast of Canada and the US is heavily excised by canyons and we choose to strategically locate the deployment away from any canyons to remove canyon effects from the observations. Still, the circulation dynamics in the region are very complex. The surface waters are in the transition zone between the wind-driven currents associated with the Alaskan Gyre and California Current Systems. Deeper, the midwater is heavily influenced by the poleward flowing California Undercurrent which is then further modulated by remotely generated passage of coastal trapped waves. Being on the continental slope, the currents are also strongly influenced by the internal tide as well as shorter internal waves generated by the passage of the tides.

The currently deployed Vertical Profiler System (VPS) carries instruments to measure water properties, temperature salinity, oxygen, pCO2, pH, turbidity, fluorescence and upwelling radiance with some redundancy. In this study we put together observations from historic deployments along with the current real-time observations to develop an understanding of the physical coupling with the biogeochemistry, the long-term variability of the water properties as and the interdependencies of these variables. Finally, we delve into the complexities of obtaining water property measurements using this type of vertical profiling system.

How to cite: Mihaly, S., Mellon, S., Bauer, K., and Foloni Neto, H.: Coastal Multidisciplinary Dynamics Elucidated by a Vertical Profiler on the Upper Continental Slope off Vancouver Island, Canada, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15128, https://doi.org/10.5194/egusphere-egu26-15128, 2026.

Surface ocean currents inferred from satellite altimetry are a key tool for observing large-scale ocean circulation; however, their performance over continental shelves remains challenging due to issues associated with conventional altimetry and global processing strategies. Several recent developments in gridding methods, combined with the increased spatial resolution enabled by the Surface Water Ocean Topography (SWOT) mission, present new opportunities for enhancing current estimates in coastal and continental shelf regions.

In our study, we investigated the mean and seasonal circulation over a 10-year period on the Southwestern Atlantic Continental Shelf using several altimetry-based datasets, including the freely available Copernicus Marine Environment Service (CMEMS) gridded product and newly generated regional datasets specifically adapted to shelf dynamics, as well as output from the GLORYS12v1 numerical model. The resulting circulation patterns are evaluated in the context of previous studies to identify common features and discrepancies among datasets, as well as the influence of recent methodological advances. Differences in the structure and seasonality of the dominant along-shore currents emerge clearly when analyzing cross-shelf transects, partly supplemented by in-situ data from Acoustic Doppler Current Profiler (ADCP) data.

Despite their limited availability to date, we also investigated experimental gridded products that incorporate SWOT observations. Considering the study's findings, the SWOT-induced gridded dataset demonstrates an enhanced ability to resolve small-scale circulation, resulting in higher variability in the ocean currents, and underscores the importance of high-resolution altimetry in representing surface currents over the study region. 

How to cite: Passaro, M., Juhl, M., and Dettmering, D.: Surface ocean currents on the Southwestern Atlantic Continental Shelf from Altimetry datasets, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19560, https://doi.org/10.5194/egusphere-egu26-19560, 2026.

Observations from the global ocean have long confirmed the ubiquity of thermohaline inversions in the upper ocean, often accompanied by a clear signal in biogeochemical properties. Their emergence has been linked to different processes such as double diffusion, mesoscale stirring, frontal subduction, and the recently discussed submesoscale features. This study uses the central Baltic Sea as a natural laboratory to explore the formation of salinity inversions in the thermocline region during summer. We use realistic high-resolution simulations complemented by field observations to identify the dominant generation mechanism and potential hotspots of their emergence. We propose that the strongly stratified thermocline can host distinct salinity minima during summer conditions resulting primarily from the interaction between lateral surface salinity gradients and wind-induced differential advection. Since this is a generic mechanism, such salinity inversions can likely constitute a typical feature of the upper ocean in regions with distinct thermoclines and shallow mixed layers.

How to cite: Chrysagi, E.: Salinity inversions in the thermocline due to wind-induced differential advection, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4816, https://doi.org/10.5194/egusphere-egu26-4816, 2026.

Salt intrusion is a major problem in deltas globally. Under climate change it is predicted to become a more serious issue. Understanding the source conditions of the saline water entering the estuary is of vital importance. Here we present data from a field campaign carried out around  the mouth of the Port of Rotterdam, during the major drought of 2022.  Mooring data (velocity, salinity and temperature) deployed around the mouth of the estuary are presented. We explore the changes in the near field plume dynamics during the drought and their connection to the inflowing waters at depth.  Our results suggest where the saltier inflowing waters to the estuary are sourced from offshore. We explore how and where mixing of plume waters takes place in the river plume  and its impact on lower-layer salinity variation in the nearfield.

How to cite: Pietrzak, J., Wegman, T., Horner Devine, A., Ralston, D., and Kranenburg, W.: Sources of salt Intrusion in a salt wedge estuary under extreme drought conditions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21437, https://doi.org/10.5194/egusphere-egu26-21437, 2026.

A new conceptual framework for the assessment of the physical state of the Baltic Sea was introduced recently. The approach is based on the analysis of mutual variability of well-established climate indicators such as basin-wide ocean heat content (OHC) and freshwater content (FWC). Previous studies have reported a positive trend in OHC and a negative trend in FWC. The increase in OHC has been attributed to the rising air temperature over the Baltic Sea, yet the decline in FWC remains largely unexplained. It was noted that neither salt transport to the Baltic Sea, net precipitation, nor total river runoff accounted for the FWC's downward trend. We suggest that more accurate estimates of mass, salt and heat transport between the Baltic Sea and the North Sea are needed, than currently available. This study is designed as the first step towards the goal by analysing model reanalysis data and observations. 

The Baltic Sea is a brackish marginal sea connected with the North Sea through the narrow Danish Straits (Øresund, Great Belt and Little Belt) and the Skagerrak and Kattegat transitional zones. A complex geometry and bathymetry of the area complicates the estimation of the transport values using traditional methodology like numerical modelling and solely observation based interpolation methods. We analyse volume, heat and salt transports across sets of transects in Skagerrak/Kattegart transition zone and the southern Baltic Sea using the Baltic Sea Physical Reanalysis data (NEMO, 1 nautical mile resolution, 56 vertical layers, 1993–present). The derived transports are compared to the long-term observational Baltic Saline Inflow (SBI) series.

Our results quantify the consistency and difference in transport between neighbouring model’s transects over  the transition zone between the North Sea and Baltic Sea. They show comparable temporal variability between area-mean model transports and  the SBI index and spectral analysis indicates that the reanalysis captures the dominant temporal scales of inflow variability, while differences in amplitude suggest sensitivity to area choice. 

We develop purpose specific data-driven models to link these two data sources into mass, heat and salt exchange estimators for the North Sea and Baltic Sea connective area, using attention-based Transformer architectures to learn the time-dependent relationships between reanalysis predictors and available observations, and to estimate volume, heat, and salt exchange through the North Sea–Baltic Sea gateway.

How to cite: Nemeth, P. and Raudsepp, U.: Towards limiting uncertainties in the estimates of mass, salt and heat transport between the Baltic Sea and the North Sea, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12277, https://doi.org/10.5194/egusphere-egu26-12277, 2026.

Field-based monitoring of coastal morphology requires high costs and is often constrained to calm wave conditions, which limits operational frequency. As a result, despite high spatial resolution, conventional surveys typically suffer from low temporal resolution. To improve temporal resolution between discrete surveys, we developed a satellite-based framework to estimate intermediate morphological changes by tracking crescentic nearshore sandbar (CNSB) migration.

The study area, Hujeong Beach, is a wave-dominated sandy shoreline located along the East Sea of South Korea. Between 2017 and 2022, twelve high-resolution topographic and bathymetric surveys were conducted using RTK drone, LiDAR, and single-beam echosounder measurements. These surveys covered coastal morphology from the beach face to approximately 50 m water depth and were strategically conducted before and after typhoons or high-energy winter wave events when significant morphological changes were expected. To supplement these discrete surveys, a total of 175 cloud-free Sentinel-2 Level-1C images from the same period were processed without atmospheric correction to preserve visible-band contrast for submerged features. CNSBs were identified using the VIS-G2R index, which enhances the spectral distinction of shallow submerged sandbars. The peak detection algorithm was applied to shore-normal brightness profiles to extract sandbar crest locations across the 0–15 m depth zone.

These satellite-derived sandbar positions used to track migration patterns and estimate morphological changes between field surveys. Analysis of the satellite-derived sandbar positions revealed consistent patterns of nearshore morphological change between field survey intervals. This study demonstrates that satellite-derived CNSB positions offer a reliable indicator of coastal morphological change, bridging the temporal gaps between field surveys and enabling cost-effective, high-frequency monitoring in wave-dominated, microtidal environments.

How to cite: Lee, B., Kim, D. H., Choi, J.-H., Chang, Y. S., Kim, C. H., and Do, J. D.: Satellite-Based Monitoring of Crescentic Nearshore Sandbar Migration at Hujeong Beach, South Korea, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15207, https://doi.org/10.5194/egusphere-egu26-15207, 2026.

Sequence stratigraphic analysis of high-resolution seismic profiles and borehole data reveals that the late Quaternary deposits in the inner shelf off the Nakdong River in the SE Korea form a high-frequency sequence consisting of a set of lowstand, transgressive, and highstand systems tracts in response to a fifth-order (20 kyr) sea-level cycle. Four sedimentary units, each with different seismic facies, constitute the systems tracts: incised-channel fill (SU1), transgressive estuary deposits (SU2), transgressive sand layer (SU3), and a delta-shelf complex (SU4).

The lowermost unit (SU1), which overlies the sequence boundary, is interpreted as fluvial deposits formed during the last glacial period and belongs to the lowstand systems tract. The lower middle unit (SU2) lying below the ravinement surface represents a paralic component that consists of estuarine sandy mud or muddy sand developed between approximately 13 and 8 cal kyr BP, whereas the upper middle unit (SU3) above the ravinement surface corresponds to a marine component that consists of sand veneer produced by the shelf erosion during the ensuing sea-level rise (8 - 6 cal kyr BP). These two units (SU2 and SU3) belong to the transgressive systems tract. The uppermost unit (SU4) regarded as the highstand systems tract formed the Nakdong subaqueous delta including the proximal and distal systems developed after the highstand sea level at approximately 6 cal kyr BP. The lateral transition from the proximal to distal facies suggests a prograding delta system in the Nakdong River.

How to cite: Yoo, D.-G., Lee, B.-R., Hong, S.-H., Lee, G.-S., Jung, S.-K., Cho, J. H., and Choi, Y. S.: Stratigraphic Organization of the Late Quaternary Deposits in the Inner Shelf off the Nakdong River, SE Korea, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8556, https://doi.org/10.5194/egusphere-egu26-8556, 2026.

Based on analyses of high-resolution seismic profiles and sedimentary data, we investigated the Holocene evolution and sediment budget of three shelf mud deposits distributed along the Korean Peninsula: the Southeastern Yellow Sea Mud (SEYSM), Central South Sea Mud (CSSM), and Korea Strait Shelf Mud (KSSM). These mud accumulations, which began forming around 6 ka, are integral components of the fine-grained source-to-sink system in the marginal seas of Korea. Although previous studies have examined their distribution and facies characteristics, quantitative sediment budget assessment among these deposits has remained insufficient. This study elucidates the interrelationships between the SEYSM, CSSM, and KSSM, along with the role of estuarine filtration and coastal hydrodynamics in modulating sediment transport. An estimated 32.5–43.8 × 10⁶ tons of suspended material are annually supplied to the region through multiple sediment sources. Seasonal variations in oceanic fronts and longshore currents control sediment dispersal along the Korean coast, resulting in distinct deposition patterns. The estimated annual accumulation rates are 9.0–13.2 × 10⁶ ton/year for the upper SEYSM, 5.3–8.1 × 10⁶ ton/year for the CSSM, and 4.6–6.4 × 10⁶ ton/year for the KSSM, corresponding to approximately 28–30%, 17–18%, and 14–15% of the total sediment input, respectively. Additionally, about 17–25% of fine-grained sediments are exported toward the Ulleung Basin. These sediment budget estimations provide new insights into sediment transport pathways, source-to-sink fluxes, and depositional connectivity among the Korean shelf mud systems, contributing to a refined understanding of Holocene sedimentary processes on the continental shelf.

How to cite: Lee, B.-R., Yoo, D.-G., Jung, S.-K., Cho, J. H., Lim, D. I., and Kim, G. Y.: Source-to-Sink (S2S) of the Korean Shelf Mud deposits since the 6 ka, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2878, https://doi.org/10.5194/egusphere-egu26-2878, 2026.