Collaborative Research: RNMS Statistical methods for atmospheric and oceanic sciences

合作研究：RNMS 大气和海洋科学统计方法

• 批准号: 1107046
• 负责人: Montserrat Fuentes
• 金额: $ 283.7万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-10-01 至 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1107046&HistoricalAwards=false
• 关键词: Collaborative; Research; RNMS; Statistical; methods

STATMOS (STatistical methods for ATMospheric and Oceanic Sciences)This award supports a Research Network in the Mathematical Sciences. Recent events in climate science have highlighted the need for increased participation of statisticians. While mathematics plays an important role in modeling fluid dynamics, statistics specializes in quantifying uncertainty. The objective of this project is to build a network of statisticians with interest in atmospheric and ocean science. The hubs of the network (and some nodes) have personnel both in statistics and in atmospheric and ocean science; the National Center for Atmospheric Research is a common node connected to each of the nodes. The network will also connect with similar networks in the Pacific Northwest and in Europe, and will provide the research necessary for decision makers to make informed decisions, based on accurate assessment of uncertainty. Scientifically, the exchanges between the nodes of the network will help foster a cadre of young researchers, including both undergraduate and graduate students, able to work across disciplines, developing relevant methodologies and applying them to important scientific problems. Students at early stages in their careers will get effectively integrated in the statistical and scientific community. This will help them to build a network in the community of statisticians working on multidisciplinary problems. The research topics of this project cover broad areas, with a common theme being multivariate nonstationary non-Gaussian spatio-temporal models, which are needed to describe a changing world. Network researchers will study extreme events in space and time, will develop methods to compare models to data, will make uncertainty assessments for scenario-based climate projections, and will produce computationally efficient ways to deal with large amounts of data from observations and numerical models. The particular combination of research and teaching carried out by the network will ensure that the knowledge generated by the group will immediately be transmitted to graduate students.STATMOS Research Network home page: http://www.nrcse.washington.edu/statmos/

STATMOS（大气和海洋科学统计方法）该奖项支持数学科学研究网络。 气候科学领域最近的事件突出表明，需要增加统计人员的参与。虽然数学在流体动力学建模中发挥着重要作用，但统计学专门用于量化不确定性。 该项目的目标是建立一个对大气和海洋科学感兴趣的统计人员网络。网络的中心（和一些节点）都有统计和大气及海洋科学方面的人员;国家大气研究中心是一个与每个节点相连的公共节点。该网络还将与太平洋西北部和欧洲的类似网络连接，并将为决策者提供必要的研究，以便在准确评估不确定性的基础上作出明智的决定。在科学方面，网络节点之间的交流将有助于培养一批年轻研究人员，包括本科生和研究生，能够跨学科工作，制定相关方法并将其应用于重要的科学问题。在职业生涯的早期阶段，学生将有效地融入统计和科学界。这将有助于他们在从事多学科问题工作的统计人员中建立一个网络。该项目的研究课题涵盖广泛的领域，一个共同的主题是多变量非平稳非高斯时空模型，这是需要描述一个不断变化的世界。网络研究人员将研究空间和时间上的极端事件，将开发将模型与数据进行比较的方法，将对基于气候预测的不确定性进行评估，并将提出计算效率高的方法来处理来自观测和数值模型的大量数据。该网络将研究和教学结合起来，确保小组产生的知识能够立即传递给研究生。STATMOS研究网络主页：http://www.nrcse.washington.edu/statmos/