Collaborative Research: Toward optimization of observational arrays in the Arctic Ocean

合作研究：优化北冰洋观测阵列

• 批准号: 1203740
• 负责人: Gleb Panteleev
• 金额: $ 11.75万
• 依托单位: University of Alaska Fairbanks Campus
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-15 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1203740&HistoricalAwards=false
• 关键词: Collaborative; Research; Toward; optimization; observational

This project contributes to the further development of the Arctic Observing Network (AON) by providing a suit of variational methods for optimization of observational arrays with special emphasis on the computational efficiency and portability of the optimization procedures. The team will analyze a scientific rationale for several ongoing and proposed observational programs to provide recommendations for designing an effective AO observing system. By accomplishing the proposed research they intend to approach the major goal of the proposal: to provide observational Arctic community with an objective procedure for optimization of the observational strategy that can be routinely used and will deliver robust and efficient estimates of the optimal configuration of an observational array based on the information available from community AO Ocean General Circulation Models. The study will provide a helpful tool for quality control of the decisions based on ?common sense? and the information which cannot be formalized in the framework of a rigorous mathematical approach. The results may suggest recommendations for deployment of the monitoring equipment in support of the Study of Environmental ARctic CHange (SEARCH) and AON programs. The results of the proposed study will be available through a web site that will include links to other relevant observational projects. The web site will be designed to be useful for a variety of audiences including the scientific community, students, and the general public. Additionally, the investigators will set up a web server to simplify access of the interested researchers to the developed algorithms. Results from project data interpretation will be published in scientific and popular journals.

该项目通过提供一套用于优化观测阵列的变分方法，特别强调优化程序的计算效率和可移植性，为北极观测网络（AON）的进一步发展做出了贡献。该团队将分析几个正在进行的和拟议的观测计划的科学原理，为设计有效的 AO 观测系统提供建议。通过完成拟议的研究，他们打算实现该提案的主要目标：为北极观测社区提供一个客观的程序，用于优化可常规使用的观测策略，并将根据社区 AO 海洋环流模型提供的信息，对观测阵列的最佳配置进行稳健和有效的估计。 该研究将为基于“常识”的决策质量控制提供有用的工具。以及无法在严格的数学方法框架内形式化的信息。结果可能会建议部署监测设备以支持北极环境变化研究 (SEARCH) 和 AON 计划。 拟议研究的结果将通过一个网站提供，其中包括其他相关观测项目的链接。该网站的设计旨在对包括科学界、学生和公众在内的各种受众有用。此外，研究人员将建立一个网络服务器，以简化感兴趣的研究人员对开发算法的访问。项目数据解释的结果将发表在科学和流行期刊上。