Hi, I'm Yong-Yub
Researcher
Experience in ocean dynamical downscaling (ROMS) and S2D earth system predictability (CESM2, NorESM)
Contact MeAbout Me
My introduction
Researcher, with years of experience in ocean dynamical downscaling, developing a seasonal to decadal prediction system using earth system model in ICCP
experience
project
paper
Skills
My technical levelNumerical modeler
More than 9 yearsROMS
80%CESM2
80%MOM4
40%Data Analyst
More than 10 yearsMATLAB
80%Shell Script
60%Ferret
50%CDO
50%Python
80%Qualification
My personal journeyOcean Science (Bachelor)
Inha UniversityPhysical Oceanography (Master)
Seoul National UniversityPhysical Oceanography (PhD)
Seoul National UniversityResearch trainee
Korea Institute of Ocean Science and Technology (KIOST)Postdoctoral Fellow
IBS Center for Climate PhysicsPostdoc
Geophysical Institute, University of Bergen; Bjerknes Centre for Climate ResearchPublications
Peer-reviewed publicationsUnder Review
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2026
Prediction of marine primary production (PP) forms the basis for forecasting marine ecosystems. Despite many prediction approaches, few have used linear dynamics to investigate PP predictability. Here, we implement Linear Inverse Models (LIM) to examine the predictability of PP in the eastern Pacific. Forecast skill substantially improves when moving from white-noise-only LIMs to those incorporating colored-noise, revealing a role for temporally correlated climate forcing in extending predictability. Seasonally varying dynamics also contribute to enhancing forecast skill, particularly within the first annual cycle. Sea surface temperature and sea-level provide the primary source of long-term memory for extended forecasts. Building on this memory, the inclusion of the biolimiting nutrient iron further enhances predictive skill by interacting with these physical drivers, despite its inherently high short-term variability. This insight has broader implications for marine biogeochemical prediction and data-driven forecasting more generally, highlighting the role of memory interactions among predictors in improving forecast performance.
Global ocean warming has led to a projected decrease in the frequency and intensity of marine cold spells (MCSs). However, the East/Japan Sea presents a climatic paradox, as winter MCSs continue to occur despite a clear, long-term warming trend. This study investigates the mechanisms underlying the sustained occurrence of these events. Quantitative analysis of the mixed-layer heat budget indicated that extreme coastal cold anomalies are closely linked to the intensified southward flow of cold and less saline North Korea Cold Water (NKCW) from East Korea Bay. The combined dynamics of horizontal advection and vertical entrainment demonstrate a synergistic mechanism: this low-salinity intrusion establishes a robust haline stratification that restricts vertical mixing, traps cold water at the surface to sustain continuous atmospheric heat loss, and enhances severe cooling. Further time-lagged correlation analyses indicated that the low-salinity coastal conditions associated with these winter MCSs originated from freshwater inflow through the Korea Strait (KS) during the preceding summer and autumn. Considering that the CMIP6 climate change scenario projections indicate an increase in the Changjiang River discharge, which is the primary freshwater source through the KS, these findings suggest that salinity-induced density changes can act as a critical precondition for sustaining the potential for coastal MCSs in a warming ocean.
This study extends the moment-based nonlinear inverse modeling (nLIM) framework from the stationary to the cyclostationary (CS) regime, introducing CS-Colored-nLIM. The proposed method constructs a periodic, colored-noise-forced, quadratic stochastic system from cyclostationary input data. In this formulation, the active nonlinear components can be empirically determined through a sparse identification scheme specifically developed for colored-noise-forced systems. Application to climate prediction demonstrates that CS-Colored-nLIM achieves predictive performance comparable to modern machine learning and statistical models, while offering greater flexibility with moderate computational demand, making it potentially applicable to a broader range of complex systems beyond climate dynamics.
2025
The Liang-Kleeman (LK) information flow provides a powerful framework for quantifying causality among variables, while linear inverse modeling (LIM) offers an effective empirical approach to studying the dynamical evolution of system states from input data. In this study, we unify these two concepts by proposing the LIM-LK framework—a data-driven method for estimating LK information flow from input data using LIM. Beyond capturing causality among state variables, the proposed framework establishes a direct connection between causality and system dynamics, and also enables the quantification of entropy transfer from the ambient environment to the system through both memoryless and persistent stochastic forcing. The effectiveness of this unified approach is demonstrated through an application to the interaction between the Pacific and Indian Oceans, offering both causal and dynamical insight into ocean variability and its seasonal modulation.
Here, we present a new seasonal-to-multiyear Earth prediction system, Community Earth System Model, version 2, multiyear prediction system (CESM2-MP), based on the CESM2. A 20-member ensemble that assimilates oceanic temperature and salinity anomalies provides the initial conditions for 5-yr predictions from 1960 to 2020. We analyze skills using pairwise ensemble statistics, calculated among individual members (IMs), and compare the results with those obtained from the more commonly used ensemble-mean (EM) approach. This comparison is motivated by the fact that an EM of a nonlinear dynamical system generates, unlike reality, a heavily smoothed trajectory, akin to the evolution of a slow manifold. However, for most autonomous nonlinear systems, the EM does not even represent a solution of the underlying physical equations, and it should therefore not be used as an estimate of the expected trajectory. The IM-based approach is less sensitive to ensemble size than EM-based skill computations, and its estimates of attainable prediction skills are closer to the actual skills. Using IM-based statistics helps to unravel the physics of predicted patterns in the CESM2-MP and their relationship to ocean–atmosphere–land interactions and climate modes of variability. Furthermore, the IM-based method emphasizes predictability of the first kind, which is associated with initial error sensitivity. In contrast, the EM-based method is more sensitive to the predictability of the second kind, which is associated with the external forcing and time-varying boundary conditions. Calculating IM-based skills for the CESM2-MP provides new insights into the sources of predictability originating from ocean initial conditions, helping to delineate and quantify the forecast limits of internal climate variability.
Understanding the variability in material transport from the Taiwan Strait (TS) to the Korean Strait (KS) is crucial for predicting ecological changes and the spread of marine debris in the East Asian Marginal Seas (EAMS). However, the dynamic variability of this transport remains poorly understood. In this study, we investigated the dynamic variability of material transport from the TS to the KS, using a Lagrangian particle-tracking system coupled with a three-dimensional numerical model. The model results showed that particles originating from the TS most frequently passed through the KS in August, with distinct interannual variability. Our findings indicate that southerly winds enhance the sea surface height (SSH) gradient in the southwestern East China Sea (ECS) shelf region through surface Ekman transport, weakening cross-shelf offshore currents and preventing particles from being transported offshore. The interannual variability of southerly winds is associated with variations in SSH in the southwestern shelf region, thereby modulating material transport from the TS to the KS. Furthermore, southerly winds over the EAMS are found to strengthen during negative phases of the Pacific Decadal Oscillation, suggesting a potential linkage between material connectivity in the EAMS and large-scale climate indices. These findings reveal how physical processes govern material transport in the EAMS, offering valuable insights into the prediction of nutrient fluxes and pollutant dispersion.
2024
The collapse of walleye pollock catch in the Korean fishing region during the late 1980s remains unresolved despite enormous efforts to recover its stock. To investigate the future fate of walleye pollock in the western East/Japan Sea (EJS) in the late 21st century, we implemented a dynamical downscaling approach by developing high-resolution regional ocean climate models (1/20°) with the selected Coupled Model Intercomparison Project 6 (CMIP6) global climate models. We analyzed the changes in the spawning days and larval distribution of walleye pollock in the western EJS. Under the SSP5–8.5 global warming scenario, the suitable spawning period ratio of walleye pollock was drastically reduced by 76%. The severe reduction in spawning days in the western EJS was mainly attributed to ocean warming caused by a decrease in atmospheric surface cooling. Moreover, our particle tracking experiment showed substantial loss of eggsand larvae south of 38° N. Our study projected a drastic collapse of walleye pollock in the western EJS and proposed a variety of collapse patterns based on local circulation under future warming conditions. These findings can help the local fishing industry adapt and assist neighboring governments in planning future fisheries management strategies.
2023
Marine heatwaves (MHWs), referring to anomalously high sea surface temperatures, have drawn significant attention from marine scientists due to their broad impacts on the surface marine ecosystem, fisheries, weather patterns, and various human activities. In this study, we examined the impact of the distribution of Changjiang diluted water (CDW), a significant factor causing oceanic property changes in the East China Sea (ECS) during the summer, on MHWs. The surface salinity distribution in the ECS indicates that from June to August, the eastern extension of the CDW influences areas as far as Jeju Island and the Korea Strait. In September, however, the CDW tends to reside in the Changjiang estuary. Through the Empirical Orthogonal Function analysis of the cumulative intensity of MHWs during the summer, we extracted the loading vector of the first mode and its principal component time series to conduct a correlation analysis with the distribution of the CDW. The results revealed a strong negative spatial correlation between areas of the CDW and regions with high cumulative intensity of MHWs, indicating that the reinforcement of stratification due to low-salinity water can increase the intensity and duration of MHWs. This study suggests that the CDW may still influence the spatial distribution of MHWs in the region, highlighting the importance of oceanic environmental factors in the occurrence of MHWs in the waters surrounding the Korean Peninsula.
2022
Walleye pollock (Gadus chalcogramma) caught in the Korean fishing area dramatically decreased in the late 1980s. To investigate the potential impact of the late 1980s climate regime shift on the collapse of the pollock catch, we developed a three-dimensional hydrodynamic model with data assimilation and a particle tracking model. Data-assimilated reanalysis showed that sea surface temperature increased by approximately 2°C in the spawning area of pollock in the late 1980s. The suitable spawning area in the East Korean Bay decreased due to warming in the late 1980s. Spawned eggs of walleye pollock were tracked using a particle tracking model for 30 days in January and February during 1983–1992. The number of individuals transported to the nursery within the Korean fishing area from the spawning area was reduced by 74% in the late 1980s. The intensified East Korean Warm Current (EKWC) could be responsible for the decreased number of individuals transported to the southern area in the late 1980s. Warming in the Korean fishing area could also cause a decrease in pollock. These oceanic changes might be linked to climate regime shifts in the late 1980s. The warming regime with positive Arctic Oscillation and weakened monsoon intensified the northward flow of the EKWC and accelerated the warming of the spawning and fishing areas in the late 1980s.
Nitrate (NO3–) plays an important role in ecosystems and aquaculture in the Yellow Sea (YS). Sparse observational data suggest that ocean currents and nitrification are crucial to NO3– flux in the YS; however, a quantitative assessment of these fluxes has not yet been performed. This study investigates seasonal and spatial variations in NO3– flux via currents and biological processes in the YS from 2006 to 2019 using a physical-biogeochemical coupled model. The model results show that the current-driven fluxes exceeded biological processes in the eastern and central regions of the YS, unlike in the western and northern regions. Advection of NO3– in the YS is mainly driven by cyclonic circulation in summer and fall, and anticyclonic circulation in spring and winter. The Subei Coastal Current along the coast of China plays a primary role in net advective influx of NO3– to the YS year round. The NO3– influx by the Yellow Sea Warm Current along the lower layer of the southcentral YS is offset by outflux through wind-driven surface currents in winter. The southward movements of the Yellow Sea Bottom Cold Water in summer and the Korean Coastal Current in winter are major NO3– outfluxes to the East China Sea. In terms of biological processes, NO3– is mainly consumed by phytoplankton during the spring bloom and supplied through organic matter decomposition and nitrification. Net supply of NO3– by biological processes was the greatest in the southcentral YS where the Yellow Sea Bottom Cold Water is present.
2021
Global climate models (GCMs) have limited capacity in simulating spatially non-uniform sea-level rise owing to their coarse resolutions and absence of tides in the marginal seas. Here, regional ocean climate models (RCMs) that consider tides were used to address these limitations in the Northwest Pacific marginal seas through dynamical downscaling. Four GCMs that drive the RCMs were selected based on a performance evaluation along the RCM boundaries, and the latter were validated by comparing historical results with observations. High-resolution (1/20°) RCMs were used to project non-uniform changes in the sea-level under intermediate (RCP 4.5) and high-end emissions (RCP 8.5) scenarios from 2006 to 2100. The predicted local sea-level rise was higher in the East/Japan Sea (EJS), where the currents and eddy motions were active. The tidal amplitude changes in response to sea-level rise were significant in the shallow areas of the Yellow Sea (YS). Dynamically downscaled simulations enabled the determination of practical sea-level rise (PSLR), including changes in tidal amplitude and natural variability. Under RCP 8.5 scenario, the maximum PSLR was ∼85 cm in the YS and East China Sea (ECS), and ∼78 cm in the EJS. The contribution of natural sea-level variability changes in the EJS was greater than that in the YS and ECS, whereas changes in the tidal contribution were higher in the YS and ECS. Accordingly, high-resolution RCMs provided spatially different PSLR estimates, indicating the importance of improving model resolution for local sea-level projections in marginal seas.
2018
The contributions of bottom cold water and planetary β-effect to the formation of the East Korean Warm Current (EKWC), the western boundary current in the East/Japan Sea (EJS), were evaluated using an idealized three-dimensional numerical model. The model results suggest that the bottom cold water and, to a lesser extent, the planetary β-effect both contribute to the formation of the EKWC. The cold water functions as the bottom of the upper layer, to control the EKWC via conservation of potential vorticity. It is known that cold waters, such as the North Korean Cold Water and Korea Strait Bottom Cold Water often observed during summer along the southwestern coast of the EJS, originate from the winter convection in the northern area. Observational studies consistently show that the EKWC strengthens in summer when the cold water extends further south along the western boundary.