전남대학교 함유근 교수가 오는 8월 20일 APEC 기후센터(APCC)를 방문한다. 함유근 교수는 「Improvement of climate model simulation through inter-model diversity: An ENSO example」라는 주제로 오전 11시부터 APCC 2층에 위치한 국제회의실에서 세미나를 주재한다.

세미나 일정 등 상세 정보는 아래와 같다.

1. 발표자 : 함유근 교수 (충남대학교)

2. 발표 제목 : Improvement of climate model simulation through inter-model diversity: An ENSO example

3. 일시: 2014년 8월 20일 수요일 오전 11시

4. 장소: APEC 기후센터 국제회의실 (2층)

5. 초록
In this study, a new methodology is developed to improve climate simulation of the state-of-the-art coupled GCMs by a post-processing using the inter-model diversity (i.e. deviation from the Multi-Model Ensemble (MME)). Based on the close connection between the interannual variability and climatological state, the distinctive relation between the inter-model diversity of the interannualvariability and that of the basic state is found. Based on this relation, the simulated interannualvariability is improved by correcting their climatological bias. In order to test this methodology, the dominant inter-model difference in precipitation responses to the ENSO, and its relationship with climatological state is investigated. It is found that the dominant inter-model diversity of the ENSO precipitation in CMIP5 is associated with the zonal location shift of the positive precipitation center during the El Nino. It is found that this dominant inter-model difference is significantly correlated with the difference in the basic state. The models with wet (dry) climatology than the climatology of the MME over the central Pacific tend to shift positive ENSO precipitation anomalies to the east (west).
As the models with the better climatological state tend to simulate realistic atmospheric ENSO response, the statistical method to correct the ENSO response by minimizing mean bias mostly improves the ENSO response. After the statistical correction, the deficiencies in simulating the MME ENSO precipitation are improved that the pattern correlation of atmospheric MME response is increased from 0.81 before the correction to 0.92 over the tropical Pacific after the correction. Especially, this improvement is robust in the models whose original response is far from realistic. These results provide the possibility that the methodology developed in this study also can be applied to improve climate projection and seasonal climate prediction.

6. 약력
- Experience
Faculty of Earth System and Environmental Science, Chonnam National University, Assistant Professor, October 2013 - present
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Scientist 2, July 2012 – September 2013 / Scientist 1, March 2010 - June 2012
Research Institute of Basic Sciences, Seoul National University, Researcher, September 2009 – March 2010
Chungbuk National University, Lecturer, September 2009 - February 2010

- Education
Ph.D., Atmospheric Sciences, Seoul National University, September 2009
Thesis title: “Initialization of Air-sea Coupled Models for Ensemble Climate Prediction”
Advisor: Prof. In-Sik Kang
B.S., Atmospheric Sciences, Seoul National University, February 2003