Center for Climate/Environment Change Prediction Research (CCCPR)


Research Group 1

 : Climate/atmospheric environment prediction

Two research topics will be studied; climate change analysis and scenario production, and atmospheric chamistry/aerosol analysis and prediction. Especially, non-linear feedback processes between climate and atmospheric environment will be studied in depth.

 

Research Group 1-1

 : Diagnosis and Modeling of Climate Change with Future Climate Scenario

 

Purpose

Climate change affects all components of the global environment system. All the components interact with each other and have an effect in the climate change by non-linear feedback processes. However, there has been minimal study to predict and diagnose the whole global environment system, including the feedback processes. In this first task, future climate change scenario will be developed and applied by using integrated earth system model. 

 

Contents

In the First Task, 'Climate/atmospheric environment prediction,' two research topics will be studied; climate change analysis and scenario production. The non-linear feedback processes in climate systems will be studied in depth. Coupled global climate model and regional climate model with several scenarios will be used for analyzing climate change.

 

Expected Contribution

  • Scientific/technological: Understanding of macro-micro interactions and feedback processes and establishment of interactive climate-environment integrated prediction system.                                     
  • Educational: Training students and young scientists in the area of climate change and environment. Introduction of a new research model among interdisciplinary experts.                       
  • Industrial/economical: Commercialization of the developed system. Providing scientific information for the development of sustainable national industrial structure against climate change. Development of advanced biological and water resources management systems       

 

Research Group 1-2

 : Analysis and Prediction of Atmospheric Chemistry and Aerosols

 

Purpose

The purpose of the second year is an introductive study of regional scale air quality change affected by climate change, which includes

  • Development of a wet scavenging module and a natural emission module in a 3-D air quality model for improving our understanding of the interaction between climate change and air quality degradation in East Asia.
  • Detailed atmospheric process modeling using anthropogenic and natural volatile organic aerosol emission database constructed during the first year

 

Contents

1.1 WRF-Chem modeling

  • Development of wet scavenging module in the regional air chemistry model, WRF-Chem
  • Development of physical module in WRF for accounting for aerosol's indirect effect on cloud formation                                                                                                      
                                                                                                                       
  • Test soil dust schemes for simulating yellow sand storm in East Asia                             
                                                                                                                     
  • Conduct preliminary research for wildfire simulations using WRF-Chem

1.2 By detailed atmospheric process modeling using anthropogenic and natural volatile organic aerosol emission database constructed during the first year,

  • Investigate the reliability of the ambient measurement data                                       
                                                                                                                     
  • Characterize the concentration of aerosols, especially organic aerosols and its formation due to emission changes
  • Find out the effect of organic aerosols on the regional atmospheric environment

 

Expected Contribution

This work will result in quantitative model information of the changes in air quality in accordance with future climate change in Korea. This outcome can be used as the supporting scientific information for developing appropriate plans to deal with various environmental issues in the future