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Chemistry-Climate Modeling

Irreversible Climate Change Research

Project Contributors: Seungun Lee, Jaein Jeong, Mina Kim

"Irreversible Climate Change" means that the climate system is irreversible although the climate forcings return to the original states.

It is a generic concept that includes "abrupt climate change", "tipping point", and "climate regime shift", which are induced by the non-linearity o the climate system.

Our research goals are to achieve the answers to several scientific questions including:

1. "Whether the climate system is recoverable in the future"

2. "Whether the tipping point exists in the climate system"

3. "When the climate system experiences the irreversible change"

4. "How the East Asia and global climate system react to the irreversible climate change"

Long-term PM Forecasting

Project Contributors: Jaein Jeong, Hyeonmin Kim, Rokjin Park

Long-term trends in PM2.5 concentrations are strongly influenced by changes in anthropogenic emissions while short-term seasonal variability is mainly influenced by interannual variability in meteorological fields. In particular, as East Asia is located at the border of the Eurasian continent, interannual variability of the Siberian air mass is an important influence on wintertime PM2.5 concentrations.


An empirical relationship between air pollutants and climate indices that can represent changes in the synoptic-scale meteorological fields, is crucial to statistically predict the wintertime PM2.5 concentrations in South Korea.


Here, we investigated the long-term relationship between climate indices and wintertime PM2.5 concentrations in South Korea using a 3-D chemical transport model (GEOS-Chem) driven by assimilated meteorological fields. Through this, we will improve the accuracy of forecasting the PM2.5 concentrations in the coming winter, which can contribute to the emission reduction policy and the improvement of public health.

Carbon Cycle Modeling

Project Contributors : Mina Kim, Seungun Lee, Jaein Jeong, Sangik Oh

The frequency of extreme weather such as heat waves, droughts and heavy rains is increasing over the world. Therefore, reduction of carbon dioxide, a representative greenhouse gas that causes climate change, is required.

Understanding of the spatial distribution of carbon dioxide and its circulation in the Earth system is essential for effective carbon dioxide reduction. In particular, it is known that there is a considerable uncertainty in the simulation of carbon dioxide in the East Asia region, where relatively high concentrations are observed.

ㅤㅤBy diagnosing the uncertainty of carbon cycle modeling and improving the forecasts, we will contribute to the reduction of greenhouse gas, the most important goal for climate change response.

<Reasearch Goals>

1. Diagnosis of uncertainty in the East Asian carbon cycle reproduction of the carbon cycle model

2. Simulation of East Asian Carbon Cycle through Earth System Modeling

3. Evaluation of East Asian Carbon dioxide Simulation of Earth System Model

4. Prediction of East Asian Carbon dioxide Using Earth System Model


* Image : Schematic diagram of the global carbon cycle (IPCC, 2014)