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.

厄尔尼诺现象是一种年际耦合的海洋-大气现象，主要发生在赤道太平洋，影响世界各地的天气模式。虽然 2015-16 年厄尔尼诺现象是有记录以来最强的一次，但现有的最佳气候模型未能预测它（并且错误地预测了一年前的事件，但未能实现）。该项目将研究风和大规模海洋变化与小规模湍流的相互作用及其对东赤道太平洋海面温度的影响。该项目将利用现有的海洋结构和湍流观测以及高分辨率数值模拟来了解湍流混合的深层循环及其与厄尔尼诺现象的关系。研究结果将用于制定捕捉海洋和气候模型中湍流影响的新方法。该项目包括对现有数据集的分析和数值模拟，以研究厄尔尼诺南方涛动期间赤道太平洋冷舌下的深循环湍流（厄尔尼诺南方涛动）。来自 TAO 系泊装置、芯片吊舱部署和大涡模拟 (LES) 建模的数据将用于检查 ENSO 不同阶段的边缘不稳定和深循环湍流 (DCT)。结果将用于制定赤道上层海洋湍流混合的新参数化。 PI 还将解决热带不稳定波 (TIW) 和开尔文波在 DCT 上的相互作用和作用以及冷舌下的混合。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优势和更广泛的评估进行评估，被认为值得支持。影响审查标准。

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