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Mixing Inferred from Coherent Mesoscale Eddies (MICME)

从相干中尺度涡流 (MICME) 推断的混合

基本信息

批准号：
2048826
负责人：
Christopher Pitt Wolfe
金额：
$ 16.97万
依托单位：
SUNY at Stony Brook
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-03-01 至 2025-02-28
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2048826&HistoricalAwards=false
关键词：
Mixing Inferred Coherent Mesoscale Eddies

项目摘要

This project will provide a new technique for estimating surface-layer mesoscale diffusivity by tracking coherent mesoscale eddies using satellite altimetry. The estimated diffusivities will help constrain the distribution of oceanic tracers and can be used to validate and improve mesoscale eddy parameterizations in numerical models. Development of this technique will also provide insights into dynamics of ocean macro-turbulence and the mechanisms of mesoscale eddy mixing, which could contribute to the understanding of eddy transport in a broad variety of flow regimes.The ocean components of modern climate models are of insufficient resolution to resolve mesoscale eddies; thus, eddy tracer transport is typically parameterized as a diffusive process. However, variations in the magnitude and spatial pattern of tracer diffusivity in these models can potentially lead to large differences in their simulated climates. This project will quantify the impact of coherent ocean eddies on mesoscale mixing. The central hypothesis is that the dispersion of coherent mesoscale eddies will provide an efficient estimate of the mesoscale diffusivity in the ocean. The first objective is to identify how inhomogeneity affects the relationship between the movements of coherent mesoscale eddies and tracer diffusivities in an idealized general circulation model. The project will then estimate the magnitude and anisotropy of global mesoscale eddy diffusivity with coherent mesoscale eddy trajectories from satellite altimetry.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目将提供一种新的技术，通过使用卫星测高跟踪相干的中尺度涡旋来估计表层中尺度扩散率。估计的扩散系数将有助于限制海洋示踪剂的分布，并可用于验证和改善数值模式中尺度涡参数化。这项技术的发展也将提供深入了解海洋宏观湍流的动力学和中尺度涡旋混合的机制，这可能有助于了解涡旋输送在各种各样的流动regimes.The现代气候模式的海洋组件是不够的分辨率，以解决中尺度涡旋，因此，涡旋示踪剂输送通常参数化作为一个扩散过程。然而，在这些模式中的示踪剂扩散率的大小和空间格局的变化可能会导致其模拟的气候有很大的差异。该项目将量化相干海洋涡旋对中尺度混合的影响。中心假设是相干中尺度涡的分散将提供一个有效的估计中尺度扩散率在海洋中。第一个目标是确定如何不均匀性影响的一致性中尺度涡的运动和示踪剂扩散率在一个理想化的大气环流模式之间的关系。该项目将估计全球中尺度涡动扩散率的大小和各向异性与相干的中尺度涡动轨迹从卫星altimetry.This奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。