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

该项目通过提供一套用于优化观测阵列的变分方法，特别强调优化过程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基础，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种可常规使用的优化观测战略的客观程序，并将根据社区AO海洋环流模式提供的信息，对观测阵列的最佳配置作出可靠和有效的估计。这项研究将为基于常识的决策的质量控制提供有用的工具。以及不能在严格的数学方法框架内形式化的信息。这一结果可能会为部署监测设备以支持北极环境变化研究(SEARE)和AON计划提供建议。拟议研究的结果将通过一个网站公布，该网站将包括其他相关观测项目的链接。该网站将为包括科学界、学生和普通公众在内的各种受众提供有用的服务。此外，研究人员将设置一个网络服务器，以简化感兴趣的研究人员对开发的算法的访问。项目数据解释的结果将发表在科学和科普期刊上。

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.