卫星海洋环境监测预警全国重点实验室为增进学术交流，促进实验室对外开放，组织系列“海星系列学术讲座”，邀请国内外知名专家与青年科研人员分享前沿科学动态，讨论最新学术成果，欢迎大家踊跃参加。

召集人：周锋 研究员 刘婷 研究员

会议时间：4月30日（周三）10:00-11:30

会议地点：1号楼610会议室

报告人：In-sik Kang 教授

报告题目：Some thoughts about Climate Research Community

报告人简介：Prof. In-Sik Kang received Ph.D. at Oregon State University in 1984. After his post-doc period (1984-1986) at GFDL/Princeton University, he had been a Professor of Seoul National University unit 2017. He had been a Science Director of Indian Ocean Center, SIO/SOED for 2018-2023. For 2000-2009, he had been the Director of Center of Excellence for Climate Environment System Research at SNU. He has a long history of working with international climate community as members of various panels of World Climate Research Program (WCRP) and a member of WCRP Joint Science Committee (JSC) for 2013-2018. His science achievements are in the areas of climate modeling and prediction, and climate dynamics related to ENSO and teleconnection. Apart from his science achievements, he has also made a great contribution to the climate science community by generating a number of excellent next-generation scientists and educating scientists from the third-world countries. With recognition of his scientific achievement and contributions, World Meteorological Organization (WMO) has awarded him the 2021 International Meteorological Organization (IMO) Prize.

报告摘要：In the seminar, he will discuss the problems and issues of the current climate research community, which he presented in his speech during the ceremony for his WMO/International Meteorological Organization (IMO) Prize, held at WMO headquarters in Geneva, Switzerland in 2022. He will particularly point out the scientist evaluation system, which makes it difficult for young scientists to challenge themselves with difficult tasks of their own interest or to pursue important work valuable for future society. He will also mention how scientists—both senior and younger—can work together to overcome such difficulties. Furthermore, he will talk about international efforts in ultra-high-resolution climate modeling, combined with AI and the digital twin concept.