The Eighth International Symposium on Data Assimilation (ISDA); Fort Collins, Colorado; June 8-12, 2020

第八届资料同化国际研讨会（ISDA）；

• 批准号: 2011670
• 负责人: Steven Fletcher
• 金额: $ 1.56万
• 依托单位: Colorado State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-04-01 至 2022-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2011670&HistoricalAwards=false
• 关键词: Eighth; International; Symposium; Data; Assimilation

The 8th International Symposium on Data Assimilation will take place during the week of June 8th, 2020 in Ft. Collins, CO on the campus of Colorado State University. An international group of scientists and students will come together to discuss ideas that are at the forefront of data assimilation research. This award provides travel support for up to 7 students to attend the Symposium, present their research, and interact with researchers from various domestic and foreign institutions. The main topics that will be discussed at the Symposium include: 1) Method Development and Mathematics of Data Assimilation, 2) Satellite Data Assimilation, 3) Error Covariance Estimation in Observations, State and Model, 4) Coupled Data Assimilation Developments, 5) Convective Scale Data Assimilation, 6) Atmospheric Chemistry and Aerosol Data Assimilation, 7) Emerging Applications of Data Assimilation, and 8) Machine Learning for Data Assimilation. The presentations and posters will be hosted publicly, with permission, and there will be a summary article submitted to the Bulletin of the American Meteorological Society.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.

第八届数据同化国际研讨会将于 2020 年 6 月 8 日这一周在英国《金融时报》举行。科罗拉多州柯林斯市科罗拉多州立大学校园。 一个由科学家和学生组成的国际小组将齐聚一堂，讨论数据同化研究最前沿的想法。 该奖项为最多 7 名学生提供旅行支持，以参加研讨会、展示他们的研究成果并与来自国内外各机构的研究人员互动。 研讨会将讨论的主要议题包括：1) 资料同化的方法开发和数学，2) 卫星资料同化，3) 观测、状态和模型中的误差协方差估计，4) 耦合资料同化发展，5) 对流尺度数据同化，6) 大气化学和气溶胶数据同化，7) 数据的新兴应用同化，以及 8) 用于数据同化的机器学习。 演示文稿和海报将在获得许可的情况下公开举办，并将有一篇摘要文章提交给《美国气象学会公报》。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准。