An Integrated View of Oceanography: Ocean Weather Forecasting in the 21st Century

海洋学综合视角：21世纪海洋天气预报

• 批准号: 0427628
• 负责人: Eric Chassignet
• 金额: $ 2万
• 依托单位: University of Miami
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-08-01 至 2006-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0427628&HistoricalAwards=false
• 关键词: Integrated; View; Oceanography; Ocean; Weather

Progress in a wide range of ocean research and applications depends upon the prompt and dependable availability of ocean information products. The field of physical oceanography has matured to a point where it is now conceivable to combine numerical models and observations via data assimilation in order to provide ocean prediction products on various spatial and time scales. As a result, many nations have begun large-scale efforts to provide routine products to the oceanographic community. The Global Ocean Data Assimilation Experiment (GODAE) provides a framework for these efforts, i.e., a global system of observations, communications, modeling, and assimilation that will deliver regular, comprehensive information on the state of the oceans, in a way that will promote and engender wide utility and availability of this resource for maximum benefit to the community. The specific objective of the school is to form/motivate the young scientists and professionals that will be the principal movers and users of operational oceanographic outputs in the next 10 years. Specifically, in order for good science to be performed, one needs to understand the limitations of the products that are made available to the community at large. The lectures will present these limitations as well as emphasize the following two themes: 1) How can science benefits from an operational environment? 2) What are the limits of ocean prediction systems? of predictability? Leading scientists from around the world will brought together to summarize the present knowledge in ocean modeling, ocean observing systems, and data assimilation to present an integrated view of oceanography. In addition to formal lectures, shorter talks by experts in the field will expose the participants to a wide range of applications. Attendees will also have the opportunity to present their work via poster sessions. Broader Impacts: The societal benefit will be an increased knowledge of the marine environment and ocean climate, predictive skills for societal, industrial, and commercial benefit and tactical and strategic advantage, as well as the provision of a comprehensive and integrated approach to the oceans. The lecture notes will be reviewed by the attendees and will be published as a proceedings volume. Graduate students, post-doctoral fellows and beginning investigators will receive additional training in ocean data assimilation.

广泛的海洋研究和应用中的进展取决于海洋信息产品的迅速可靠的可用性。物理海洋学领域已经成熟到现在可以想象，可以通过数据同化组合数字模型和观察，以便在各种空间和时间尺度上提供海洋预测产物。结果，许多国家已经开始大规模的努力为海洋学社区提供常规产品。全球海洋数据同化实验（GODAE）为这些努力提供了一个框架，即全球观察，通信，建模和同化系统，将以有关海洋状况的定期，全面的信息，以促进和促进广泛的公用事业和可用性的方式，以最大程度地利用这一资源，从而最大程度地利用这一资源。学校的具体目标是形成/激励年轻的科学家和专业人士，这些科学家和专业人士将在未来10年中成为主要搬运工和运营海洋学产量的使用者。具体来说，为了进行良好的科学，人们需要了解对整个社区提供的产品的局限性。讲座将提出这些局限性，并强调以下两个主题：1）科学如何从操作环境中受益？ 2）海洋预测系统的限制是什么？可预测性？ 来自世界各地的主要科学家将汇集在一起​​，总结海洋建模，海洋观测系统和数据同化的当前知识，以呈现海洋学的综合观点。 除了正式的讲座外，该领域的专家的较短谈判还将使参与者接触到广泛的应用程序。与会者还将有机会通过海报会议介绍他们的作品。 更广泛的影响：社会利益将是对海洋环境和海洋气候的越来越多的了解，社会，工业和商业利益的预测技能以及战术和战略优势，以及提供对海洋的全面和综合方法的提供。讲义将由与会者审查，并将作为诉讼量出版。研究生，博士后研究员和初学者将接受海洋数据同化的额外培训。