Research

· East Sea

Estimation of Mean Surface Current and Current Variability in the East Sea using Surface Drifter Data from 1991 to 2017 (Park et al., 2019)

Mean surface Current vectors on 0.25° x 0.25° grid and (b) mean surface current speed (cm/s).

To understand the mean surface circulation and surface currents in the East Sea, trajectories of surface drifters passed through the East Sea from 1991 to 2017 were analyzed. By analyzing the surface drifter trajectory data, the main paths of surface ocean currents were grouped and the To understand the mean surface circulation and surface currents in the East Sea, trajectories of surface drifters passed through the East Sea from 1991 to 2017 were analyzed. By analyzing the surface drifter trajectory data, the main paths of surface ocean currents were grouped and the variation in each main current path was investigated.

· Korea Strait

Analysis of sea surface temperature variations off the south coast of Korea in summer using multiple linear regression

Multiple linear regression analyses were performed on the sea surface temperature data during the summer from 2016 to 2021. Independent variables used for regression were alongshore and cross-shore Ekman heat transports in the Jeju Strait and alongshore and cross-shore local heat transports. During the summers of the study period, excluding 2020, standardized regression coefficients of the cross-shore Ekman heat transport were largest.

· Yellow Sea and East China Sea

CO2 flux through the sea surface and ocean oxidation

A three-dimensional physical-biological-chemical coupled model was used to simulate the marine environment of the Yellow Sea and the East China Sea in 2017, and the fluxes of ocean carbon in the regional seas were estimated from the numerical simulation. This model can show temporal and spatial variation of carbon dioxide flux from air to sea. and using Ocean carbon thermodynamics, this research can compute horizontal or vertical flux of ocean carbon by currents. it means ocean carbon circulation can be shown in numerical model.

Interannual variation of summer temperatures in the Yellow Sea

The surface temperature over the Yellow Sea in summer is associated with the meridional migration of East Asian jet stream (EAJS). When the EAJS migrates southward above the Yellow Sea(Cool summer), the whole system of subtropical meridional circulation cell shifts to the south. This migration helps middle level cool air to reach lower levels over the Yellow Sea. When the EAJS migrates northward above the Asian continent(Hot summer), the subtropical meridional circulation cell shifts to the north: warm lower level air from the North Pacific strongly penetrates to the north of Yellow Sea and solar radiation increases due to reduction of clouds. In conclusion, the surface temperature of the Yellow Sea can be explained according to the migration of the jet stream.

· Northwestern Pacific Ocean

Regional Ocean Climate Change

Coupled Model Intercomparison Project 6 (CMIP6) is a project in which each national institution participates, predicting the future by 2100 year according to scenarios of anthropogenic CO2 emissions and sharing the result various physical variables. CMIP6 models are performed by integrating various models such as atmosphere, ocean, biology, and chemistry, and require a lot of computer resources because CMIP6 models are global climate models. For this reason, CMIP6 models have low resolution, and it make a problem not properly predicting ocean changes around Korean. To solve the limitation of low resolution, a high-resolution future prediction model of the Northwest Pacific region was built using the Regional Ocean Modeling System (ROMS), and Analyzing the current, water temperature, and salinity changes are the purpose of our labolatory.

Coupled physical-biogeochemical modeling Regional Ocean Climate Change

A physical-biological-chemical coupled model is a model that simulates the marine environment by adding biogeochemical variables such as DIC, alkalinity, nutrients, and chlorophyll-a to physical variables, and this coupled model was performed during 2017 to simulate the marine environment in the Northwest Pacific Ocean and to verify the model. The purpose of this research is to study the acidification trend of the ocean by calculating pCO2 and pH with temperature, salinity, DIC, and alkalinity using carbon thermodynamic equations.

Intercomparison of global coupled models (CMIP6)

Chlorophyll a is an important parameter indicating phytoplankton biomass in the marine ecosystem. In particular, nutrients are a limited factor in the growth and blooming of phytoplankton in the Northwest Pacific (NWP). These changes in marine biogeochemical variables play an essential factor in diagnosing the structure of the marine ecosystem. Recently, coupled model intercomparison project 6 (CMIP6) provided earth system models (ESMs) output dataset for diagnosing and predicting changes in the atmospheric and marine environments due to climate change. However, They are limited to predicting marine climate changes in the NWP surrounding regional seas because ESMs mainly focus on specific phenomena, such as El Niño and sea ice, with an average horizontal resolution of 100km. Therefore, it is necessary to establish a regional sea model by selecting a model that simulates changes in the marine ecosystem in the NWP around the Korean Peninsula through an evaluation of the ESM. This study evaluated and validated 18 models that historical simulation CMIP6 biogeochemical variables in the NWP and a model with excellent was selected.

OMPOL, Department of Oceanography,

College of Natural Sciences, Chonnam National University

Gwangju 61186, Republic of Korea

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