Collaborative Research: Marginal instability and deep-cycle turbulence during an extreme El Nino event

合作研究：极端厄尔尼诺事件期间的边缘不稳定和深循环湍流

• 批准号: 1851520
• 负责人: William Smyth
• 金额: $ 47.37万
• 依托单位: Oregon State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-04-01 至 2023-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1851520&HistoricalAwards=false
• 关键词: Collaborative; Research; Marginal; instability; deep

The El Nino is an inter-annual coupled ocean-atmosphere phenomenon, focused in the equatorial Pacific, that influences weather patterns around the world. While the 2015-16 El Nino was the strongest on record, the best available climate models failed to predict it (as well as falsely predicting an event a year earlier that failed to materialize). This project will address the interactions of wind and large-scale oceanic variability with small-scale turbulence and its effect on sea surface temperature in the eastern equatorial Pacific Ocean. The project will use existing observations of ocean structure and turbulence along with high resolution numerical simulations to understand the deep cycling of turbulent mixing and its relation to El Nino. The results will be used to formulate new methods for capturing the effects of turbulence in ocean and climate models.This project involves analysis of existing data sets and numerical simulations to study deep cycle turbulence under the Equatorial Pacific Cold Tongue during the El Nino Southern Oscillation (ENSO). Data from TAO moorings, deployments of chi-pods, and Large Eddy Simulation (LES) modeling will be used to examine marginal instability and deep-cycle turbulence (DCT) during different phases of ENSO. The results will be used to formulate a new parameterization for turbulent mixing in the upper equatorial ocean. The PIs will also address the interactions and roles of tropical instability waves (TIW) and Kelvin waves on DCT and mixing beneath the cold tongue.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.

埃尔尼诺（El Nino）是一种重点在赤道太平洋的年度耦合海洋大气现象，影响了世界各地的天气模式。尽管2015 - 16年的El Nino是有记录以来最强的，但最好的可用气候模型未能预测它（以及一年前未能实现的事件的错误预测）。该项目将解决风与大规模的海洋变异性与小规模的湍流的相互作用及其对东部赤道太平洋对海面温度的影响。该项目将使用现有的海洋结构和湍流观察结果以及高分辨率的数值模拟，以了解湍流混合的深度循环及其与El Nino的关系。该结果将用于制定新方法来捕获海洋和气候模型中湍流的影响。该项目涉及对现有数据集和数值模拟的分析，以研究在埃尔尼诺南部振荡（ENSO）期间赤道太平洋冷舌（ENSO）下的赤道太平洋冷舌（ENSO）。 TAO系泊设备的数据，CHI-POD的部署和大型涡流模拟（LES）建模将用于检查ENSO不同阶段的边际不稳定性和深循环湍流（DCT）。结果将用于制定新的参数化，以用于上赤道海洋中的湍流混合。 PI还将解决热带不稳定性波（TIW）和开尔文波在DCT上的相互作用和作用，并在冷舌下混合。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的审查标准来通过评估来通过评估来支持的。

项目成果

Stratified shear instabilities in diurnal warm layers

日间暖层的分层剪切不稳定性

• DOI: 10.1175/jpo-d-20-0300.1
• 发表时间: 2021
• 期刊: Journal of Physical Oceanography
• 影响因子: 3.5
• 作者: Hughes, Kenneth G.;Moum, James N.;Shroyer, Emily L.;Smyth, William D.
• 通讯作者: Smyth, William D.

Deep Cycle Turbulence in Atlantic and Pacific Cold Tongues

大西洋和太平洋冷舌的深循环湍流

• DOI: 10.1029/2021gl097345
• 发表时间: 2022
• 期刊: Geophysical Research Letters
• 影响因子: 5.2
• 作者: Moum, James N.;Hughes, Kenneth G.;Shroyer, Emily L.;Smyth, William D.;Cherian, Deepak;Warner, Sally J.;Bourlès, Bernard;Brandt, Peter;Dengler, Marcus
• 通讯作者: Dengler, Marcus

What controls the deep cycle? Proxies for equatorial turbulence.

是什么控制着深循环？

• DOI: 10.1175/jpo-d-20-0236.1
• 发表时间: 2021
• 期刊: Journal of Physical Oceanography
• 影响因子: 3.5
• 作者: Smyth, W. D.;Warner, S. J.;Moum, J. N.;Pham, H.;Sarkar, S.
• 通讯作者: Sarkar, S.

Marginal Instability and the Efficiency of Ocean Mixing

• DOI: 10.1175/jpo-d-20-0083.1
• 发表时间: 2020-08
• 期刊: Journal of Physical Oceanography
• 影响因子: 3.5
• 作者: W. Smyth