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特邀巴西里约热内卢联邦大学Claudine Dereczynski教授和巴西国家太空研究院Chou Sin Chan研究员来校作学术报告 ——大气•风云讲坛(2025年第15期)暨国际气象教育与科学研究协会(IAMES)“科学大讲堂”第四十三讲
作者:大气科学学院               发布时间:2025/09/30 15:23:36       浏览量:       来源:大气科学学院

报告时间: 2025年10月13日(周一)上午10:00

报告地点:气象楼423会议室

主 持 人:曹剑 教授

报告题目一:Assessment of the Nanjing University of Information Science and Technology Earth System Model Version 3 (NESM3) Seasonal Climatology over South America

报告专家一:Claudine Dereczynski教授

专家简介一:Claudine Dereczynski is a Full Professor at the Federal University of Rio de Janeiro (UFRJ), within the Geosciences Institute, Meteorology Department. She has been a faculty member since 2001 and is a permanent professor in the Meteorology Post-Graduation Program (PPGM). From 2021 to 2023, she served as the coordinator of the meteorology undergraduate course. Additionally, she has been the Editor-in-Chief of the Journal Anuário do Instituto de Geociências since January 2020.

She earned a Bachelor's degree in Meteorology from the Federal University of Rio de Janeiro in 1988, a Master's degree in Meteorology from São Paulo University in 1995, and a PhD in Atmospheric Sciences and Engineering from the Federal University of Rio de Janeiro in 2004.

She possesses expertise in climatology, synoptic meteorology, and climate change.

Claudine served as an author to Chapter 11, contribution author to Chapter 12 and to Summary for Policymakers (SPM). She also contributed as an author to the Technical Summary (TS) of Working Group 1 of the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).


报告摘要一:In this talk we are going to discuss the performance of NESM3 in simulating the South American seasonal climatology. NESM3 performs better during austral winter and spring and most of its problems are related to its warm SST (+ 3ᵒC) over the South Atlantic and South Pacific between 5ᵒS and 20ᵒS. In general, NESM3 exhibits good performance in characterizing the winter and spring seasons of South America, giving us confidence in its climate projections throughout the continent.


报告题目二:The Eta Regional Climate Model – Cases in Which Higher Resolution Is Necessary

报告专家二:Chou Sin Chan研究员

专家简介二:Chou Sin Chan is a Senior Researcher at the National Institute for Space Research (INPE). She served as Head of the Operations Division, Head of the Modeling and Development Division of the Center for Weather Forecasting and Climate Studies, and Head of the Numerical Modeling for the Earth System Division of the General Coordination of Earth Science. She also served as Coordinator of the Postgraduate Program in Meteorology at INPE.

She received a Bachelor's degree in meteorology from the Federal University of Rio de Janeiro (UFRJ) (1985), a Master's degree in meteorology from the INPE (1990), and a PhD degree in meteorology from the University of Reading in the United Kingdom (1993).

She has expertise in atmospheric numerical modeling and leads the development of the Eta Model for weather and climate forecasting and climate change projections.

She contributed as an author to Chapter 9 of Working Group 1 of the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5). She contributed as co-coordinator of Chapter 8 of Working Group 1 of the First National Assessment Report (RAN1). She coordinated the generation of regionalized climate change scenarios in Brazil in support of the Third National Communication for the United Nations Framework Convention on Climate Change (UNFCCC) and the Brasil2040 project. She is a 1C researcher at CNPq.

报告摘要二:The Eta Regional Climate Model (RCM) has been developed by the Brazilian National Institute for Space Research (INPE) to produce projections of climate change at higher resolution, supporting the studies on impact, adaptation, and vulnerability over South America. Studies at 20, 5 and 1-km horizontal resolutions will be shown for cases where higher spatial resolution is necessary. The validations indicate that heavier precipitation rates are better reproduced at higher resolution. The added value of the Eta RCM downscaling runs over the global drivers is shown.

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2025年9月30日