Collaborative Research: Representing internal-wave driven mixing in global ocean models

合作研究：代表全球海洋模型中的内波驱动混合

• 批准号: 0968783
• 负责人: Brian Arbic
• 金额: $ 36.22万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 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: 2010-06-15 至 2016-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0968783&HistoricalAwards=false
• 关键词: Collaborative; Research; Representing; internal; wave

The goal of this Climate Process Team is to formulate and test parameterizations for internal wave mixing in the ocean interior for inclusion in state of the art coupled climate models. Mixing by internal waves is thought to be a primary mechanism governing the overall thermohaline structure of the oceans, and may have significant implications for climate variability. The project promises to reduce the uncertainty in climate prediction associated with the smallest scale physical processes that cannot be explicitly solved by climate models. The project will address three aspects of ocean mixing: near field mixing at internal wave generation sites, mixing due to breakdown of internal wave energy transported in the wave field, and far field mixing due to breakdown of internal wave energy away from sources. Parameterizations will be based on data-based relations for wave physics, radiation balance theory, and results from process models. In addition to be being based on sound theoretical ideas, the parameterizations will also be based on observational results from the growing data set of microstructure observations.

该气候过程团队的目标是制定和测试海洋内部内波混合的参数化，以纳入最先进的耦合气候模型。内波混合被认为是控制海洋整体温盐结构的主要机制，并且可能对气候变化产生重大影响。该项目承诺减少与气候模型无法明确解决的最小规模物理过程相关的气候预测的不确定性。该项目将解决海洋混合的三个方面：内波产生地点的近场混合、由于波场中传输的内波能量分解而导致的混合以及由于远离源头的内波能量分解而导致的远场混合。参数化将基于波动物理学、辐射平衡理论和过程模型结果的数据关系。除了基于合理的理论思想之外，参数化还将基于不断增长的微观结构观测数据集的观测结果。