Ocean modelling capabilities for input into acoustic models for shallow water choke points

海洋建模功能，可输入浅水阻塞点的声学模型

• 批准号: 514588-2017
• 负责人: Myers, Paul
• 金额: $ 1.82万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=640728
• 关键词: Ocean; modelling; capabilities; input; into

The proposed work aims to provide environmental parameters to acoustic models which will ultimately berequired at operational timescales. It is thought that other Arctic modelling research will also benefit. Activeand passive acoustic models require accurate representation of the ice profile which ASL will be providing bycombined use of Radarsat SAR and upward looking sonar data. Models also require the physical oceanographicconditions influencing the density structure and mobility of the water column: temperature, salinity andcurrents. Operationally these parameters can only be provided Arctic wide via models.The challenge for this work is to investigate model capabilities and application to acoustic requirements at ashallow water choke point. Here it is likely that high resolution model results will be necessary to representsufficiently accurately the physical ocean parameters across distances as small as 2-3 km. It is this scale, andability of the models to meet this requirement, that is to be investigated through this work.

拟议的工作旨在提供环境参数的声学模型，最终将berequired在业务时标。据认为，其他北极建模研究也将受益。主动和被动声学模型需要准确的冰剖面图，ASL将通过结合使用雷达卫星SAR和向上看声纳数据来提供。模型还需要影响水柱密度结构和流动性的物理海洋学条件：温度、盐度和海流。在操作上，这些参数只能通过模型在北极范围内提供。这项工作的挑战是调查模型的能力和应用程序的声学要求在浅水阻塞点。在这方面，可能需要高分辨率模式结果，才能足够准确地代表小至2-3公里距离的海洋物理参数。这是这个规模，和能力的模型，以满足这一要求，这是要通过这项工作进行调查。