Collaborative Research: Mathematics and Climate Change Research Network

合作研究：数学与气候变化研究网络

• 批准号: 0940366
• 负责人: Richard McGehee
• 金额: $ 33.74万
• 依托单位: University of Minnesota-Twin Cities
• 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=0940366&HistoricalAwards=false
• 关键词: Collaborative; Research; Mathematics; Climate; Change

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.

Jones，DMS-0940363 Camp，DMS-0940267 Danforth，DMS-0940271 Fung，DMS-0940272 Golden，DMS-0940249 Holland，DMS-0940241 Kostelich，DMS-0940314 McGehee，DMS-0940366 Pierrehumbert，DMS-0940261 Silber，DMS-0940262 Tung，DMS-0940342 Zeeman，DMS-0940243 研究人员组成了一个“数学和气候研究网络”。“这是一个框架，旨在充分利用现代应用数学和统计学的力量来预测和理解地球气候。 研究人员专注于三个关键主题：（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的气候过程及其相互作用。 ClimateProcess Modeling承担了对现存气候模型中未被充分代表的气候成分的建模，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。该研究网络旨在成为一个国家资源，参与者来自美国13所大学。 与会者作为一个虚拟社区共同工作，通过互联网定期举行每周“网络研讨会”和工作会议。 这一多年的努力有望帮助定义“气候数学”的研究领域，并教育新一代的数学研究人员，以应对与气候变化相关的科学挑战。 这个项目是由需要更好地了解地球的气候系统。 气候是地球大气层、海洋和生物圈中许多地球物理和化学过程的结果。 这些过程在许多尺度上随时间演变，从几分钟到几个世纪，并以多种方式相互作用，通常是非线性的。 反馈机制，其中许多是知之甚少，进一步复杂的图片。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。 这些实验是基于数学模型，必须足够简单，不超过今天先进的计算机架构的能力，同时仍然结合了物理和化学过程，是现实的气候结果必不可少的。 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。