A Novel Data Assimilation System for Complex Dynamical Systems

复杂动力系统的新型数据同化系统

• 批准号: 0408102
• 负责人: Eric Kostelich
• 金额: $ 10万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-15 至 2007-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0408102&HistoricalAwards=false
• 关键词: Novel; Data; Assimilation; System; Complex

This project is to have the PI participate in the development of a novel data assimilation system that will be applied to numerical global weather prediction models at the National Centers for Environmental Prediction (NCEP). With colleagues at the University of Maryland, the PI has implemented a preliminary version of a data assimilation scheme that applies the Kalman filter to a sequence of local regions. In this project, the PI will spend 11 months in residence as a full-time visiting faculty member in the Department of Meteorology at the University of Maryland at College Park, where he will study atmospheric science and satellite data analysis. This visit will allow him to apply his existing skills in dynamical systems, high performance computing, and data analysis to make substantive contributions to the data assimilation project. The PI expects to develop a graduate course in data assimilation as part of the ongoing development of a graduate Certificate in Atmospheric Sciences. The latter program is an interdisciplinary collaboration between the departments of mathematics, mechanical and aerospace engineering, chemistry, geography, and physics at ASU.This IGMS project is jointly supported by the MPS Office of Multidisciplinary Activities (OMA) and the Division of Mathematical Sciences (DMS).

该项目是让PI参与开发一个新的数据同化系统，该系统将应用于国家环境预报中心（NCEP）的数值全球天气预报模型。 与马里兰州大学的同事一起，PI已经实施了一个初步版本的数据同化方案，该方案将卡尔曼滤波器应用于一系列局部区域。 在这个项目中，PI将在学院公园的马里兰州大学气象系作为全职访问教师居住11个月，在那里他将学习大气科学和卫星数据分析。这次访问将使他能够应用他在动力系统，高性能计算和数据分析方面的现有技能，为数据同化项目做出实质性贡献。 PI希望开发一个数据同化研究生课程，作为正在进行的大气科学研究生证书开发的一部分。后一个项目是ASU数学，机械和航空航天工程，化学，地理和物理部门之间的跨学科合作。该IGMS项目由MPS多学科活动办公室（OMA）和数学科学部（DMS）共同支持。