Interdisciplinary Workshop on Weather and Climate Extremes

本项目旨在组织和举办一个名为“天气和气候极端事件跨学科研讨会”的研讨会，该研讨会将于2023年5月16日至18日在南卡罗来纳州的克莱姆森举行。近年来，由于野火、热浪、风暴潮等极端气候和天气造成的经济损失有所增加。极值理论（EVT）为研究极端天气和气候提供了一个框架。与传统的统计方法相比，EVT不为许多地球科学家和统计学家所熟知。因此，具有EVT专业知识的统计人员必须与从事统计、大气和水文科学工作的地球科学家和应用统计人员进行互动。该讲习班有以下主要目标：（i）促进统计学家、大气和水文科学家之间的合作;（ii）介绍最先进的方法;（iii）培养研究极端天气和气候的新人才。讲习班将包括几项有组织的活动，包括短期课程、小组讨论、特邀科学报告、海报会议、团队建设和集思广益活动，以确定新的研究方向和小组。即将举行的天气和气候极端事件研讨会的计划包括以下主题：i）空间和时空极端事件模型; ii）使用气候模型预测未来极端事件; iii）极端事件的检测和归因; iv）沿海风险和热带气旋; v）机器/深度学习和极端事件; vi）将大规模条件和极端事件联系起来。该项目将鼓励研究生、早期职业研究人员以及统计和地球科学领域代表性不足的群体成员参与。关于研讨会的更多细节可以在以下网站找到：https://whitneyhuang83.github.io/WCE2023.This奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。

This project is for the purpose of organizing and holding a workshop titled "Interdisciplinary Workshop on Weather and Climate Extremes" which will be held in Clemson, South Carolina on May 16-18, 2023. Recent years have seen an increase in economic losses due to climate and weather extremes, such as wildfires, heat waves, storm surges. Extreme value theory (EVT) provides a framework for studying weather and climate extremes. Compared to more traditional statistical methods, EVT is less well known to many geoscientists and statisticians. It is therefore critical that statisticians with specialized knowledge of EVT interact with geoscientists and applied statisticians working at the interface of statistics, atmospheric and hydrological sciences. This workshop have the following major aims: (i) to facilitate collaborations among statisticians, atmospheric and hydrological scientists; (ii) to present state-of-the-art methods; and (iii) to develop new talent in studying weather and climate extremes. The workshop will include several organized activities, including short courses, panel discussions, invited scientific presentations, a poster session, and team building and brainstorming exercises to establish new research directions and groups. The program of the forthcoming Workshop on Weather and Climate Extremes features the following topics: i) Models for Spatial and Spatio-Temporal Extremes; ii) Using Climate Models to Project Future Extremes; iii) Detection and Attribution of Extremes; iv) Coastal Risk and Tropical Cyclones; v) Machine/Deep Learning and Extremes; vi) Linking Large-Scale Conditions and Extreme Events. This project will encourage the participation of graduate students, early-career researchers, and members of groups under-represented in statistics and geosciences. More details about the workshop can be found at: https://whitneyhuang83.github.io/WCE2023.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.