RUI: Collaborative Research: Mathematics and Climate Change Research Network

RUI：合作研究：数学和气候变化研究网络

• 批准号: 0940243
• 负责人: Mary Lou Zeeman
• 金额: $ 31.05万
• 依托单位: Bowdoin College
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-10-01 至 2016-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0940243&HistoricalAwards=false
• 关键词: RUI; Collaborative; Research; Mathematics; Climate

Jones, DMS-0940363Camp, DMS-0940267Danforth, DMS-0940271Fung, DMS-0940272Golden, DMS-0940249Holland, DMS-0940241Kostelich, DMS-0940314McGehee, DMS-0940366Pierrehumbert, DMS-0940261Silber, DMS-0940262Tung, DMS-0940342Zeeman, DMS-0940243 The investigators form a "Mathematics and Climate ResearchNetwork." This is a framework for an intensive effort aimed atbringing to bear the full power of modern applied mathematics andstatistics on the prediction and understanding of the Earth'sclimate. The investigators focus on three key themes: (1)Dynamics of Climate, (2) Climate Process Modeling, and (3) DataAnalysis and Data Assimilation. Dynamics of Climate addressescritical climate processes and their interactions. ClimateProcess Modeling undertakes the modeling of climate componentsthat have been underrepresented in extant climate models, such asthe multi-scale material structure of sea ice. Data Analysis andData Assimilation develops mathematical tools for analyzingclimate data and assimilating them in current climate models. The Research Network aims to be a national resource, withparticipants at thirteen U.S. universities. The investigatorswork together as a virtual community that holds regular weekly"webinars" and working meetings over the Internet. Thismulti-year effort is expected to help in defining a research areaof "climate mathematics" and in educating a new generation ofmathematical researchers to meet the scientific challengesassociated with a changing climate. This project is driven by the need to better understand theEarth's climate system. Climate is the result of manygeophysical and chemical processes in the Earth's atmosphere,oceans and biosphere. These processes evolve in time over manyscales, ranging from minutes to centuries, and interact inmultiple ways, most often nonlinearly. Feedback mechanisms, manyof which are poorly understood, further complicate the picture. Because there is only one Earth, climate cannot be studied bysystematic experimentation; the only approach available toclimate researchers is through computational experiments. Theseexperiments are based on mathematical models, which must besimple enough not to exceed the capabilities of today's advancedcomputer architectures, while still incorporating the physicaland chemical processes that are essential for realistic climateoutcomes. The expertise of mathematical scientists in designing,assessing and interpreting these models is critical. This"Mathematics and Climate Research Network" helps engage themathematical sciences community to address the mathematical andstatistical issues of our changing climate. The Research Networktakes full advantage of current information technology;communication and collaboration among the participants takesplace mostly remotely over the Internet.

琼斯，DMS-0940363Camp, DMS-0940267Danforth, DMS-0940271Fung, DMS-0940272Golden, DMS-0940249Holland, DMS-0940241Kostelich, DMS-0940314McGehee, DMS-0940366Pierrehumbert, DMS-0940261Silber, DMS-0940262Tung, DMS-0940342Zeeman， DMS-0940243组成了一个“数学与气候研究网络”。这是一个旨在充分发挥现代应用数学和统计学在预测和理解地球气候方面的全部力量的密集努力的框架。研究人员关注三个关键主题：(1)气候动力学；(2)气候过程建模；(3)数据分析和数据同化。气候动力学研究关键气候过程及其相互作用。气候过程模拟承担了对现有气候模式中代表性不足的气候成分的模拟，例如海冰的多尺度物质结构。数据分析和数据同化开发数学工具，用于分析气候数据并将其同化到当前的气候模式中。研究网络的目标是成为一个全国性的资源，参与者来自13所美国大学。调查人员作为一个虚拟社区一起工作，每周定期在互联网上举行“网络研讨会”和工作会议。这项持续多年的努力有望帮助定义一个“气候数学”的研究领域，并培养新一代数学研究人员，以应对与气候变化相关的科学挑战。这个项目是由更好地了解地球气候系统的需要推动的。气候是地球大气、海洋和生物圈中许多地球物理和化学过程的结果。这些过程在时间上从几分钟到几个世纪不等，并以多种方式相互作用，最经常是非线性的。反馈机制，其中许多是知之甚少，进一步使情况复杂化。因为只有一个地球，气候不能通过系统的实验来研究；气候研究人员唯一可用的方法是通过计算实验。这些实验建立在数学模型的基础上，这些模型必须足够简单，不能超过当今先进的计算机架构的能力，同时仍然包含对现实气候结果至关重要的物理和化学过程。数学科学家在设计、评估和解释这些模型方面的专业知识至关重要。这个“数学和气候研究网络”帮助数学科学界参与解决气候变化的数学和统计问题。研究网络充分利用了当前的信息技术；参与者之间的沟通和协作主要通过互联网远程进行。