Collaborative Research: Quantifying the Effects of Langmuir Turbulence on Sea Ice and the Arctic Ocean

合作研究：量化朗缪尔湍流对海冰和北冰洋的影响

• 批准号: 2146910
• 负责人: Brodie Pearson
• 金额: $ 42.33万
• 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: 2022
• 资助国家: 美国
• 起止时间: 2022-08-01 至 2025-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2146910&HistoricalAwards=false
• 关键词: Collaborative; Research; Quantifying; Effects; Langmuir

This project will improve our capability for predicting how floating sea ice and the ocean evolve in the Arctic Ocean. To do this, we will develop a computer model for examining how ocean surface waves interact with sea ice and run simulations to improve predictions of how the heat and salt move up and down in the ocean. This new model will be shared for free, helping other scientists carry out new research into these processes, and making it easier for students to learn about the Arctic Ocean, its sea ice, and its changing behavior in a warming world. The project will support several early-career scientists in their training and research, including two students. Floating sea ice is an important part of the climate system as it reflects sunlight and acts as a barrier that separates the ocean from the atmosphere. The presence of sea ice is crucial in determining how warm the Arctic Ocean is and will become. The ocean surface also moves up and down due to waves, which are one of the main ways that the heat and salt of surface waters contact and mix with the deep ocean. Wave-related mixing is important across the global ocean, but we do not currently understand its impact in regions of sea ice. This is because sea ice changes the waves and their movement, affecting how surface and deep waters mix. This project addresses this uncertainty by identifying when and where wave-related mixing is occurring in the Arctic, and by understanding how floating sea ice impacts the strength of this mixing. We will use small-scale computer modeling experiments, informed by observations, to create a new way to account for this mixing in the global climate models used to predict Earth’s future. As part of this work, we will develop and publicly share a computer code that simulates ocean mixing under various Arctic conditions, including both ice and waves. This code will broadly aid Arctic oceanographers and will be used in classes to train ocean modelers at Oregon State University and Brown University. This project will support 5 people who are early in their scientific career, ranging from an undergraduate student to two assistant professors.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.

该项目将提高我们预测北冰洋漂浮海冰和海洋如何演变的能力。为此，我们将开发一个计算机模型来研究海洋表面波浪如何与海冰相互作用，并进行模拟以改进对北冰洋如何演变的预测。这个新模型将免费分享，以帮助其他科学家对这些过程进行新的研究，并让学生更容易地了解北冰洋、海冰和北冰洋。该项目将支持一些人在变暖的世界中改变行为。漂浮的海冰是气候系统的重要组成部分，因为它反射阳光并充当分隔海洋与大气的屏障。确定北冰洋的温暖程度和未来的温暖程度。海洋表面也会因波浪而上下移动，这是表层海水的热量和盐与深海接触和混合的主要方式之一。在全球海洋中都很重要，但我们目前还不了解它这是因为海冰改变了波浪及其运动，影响了地表水和深水的混合方式，该项目通过确定北极发生波浪相关混合的时间和地点并了解这一不确定性。漂浮的海冰如何影响这种混合的强度，我们将使用小规模的计算机建模实验，根据观测结果，创建一种新的方法来解释用于预测地球未来的全球气候模型中的这种混合。工作中，我们将开发并公开分享模拟海洋混合的计算机代码该代码将广泛帮助北极海洋学家，并将在俄勒冈州立大学和布朗大学的海洋建模师培训课程中使用。该项目将为 5 名处于科学职业生涯早期的人员提供支持。范围从一名本科生到两名助理教授。该奖项反映了 NSF 的法定使命，并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，被认为值得支持。