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极海上浮动海冰和海洋进化的能力。为此，我们将开发一个计算机模型，用于检查海面波如何与海冰相互作用并运行模拟，以改善对海洋热和盐如何在海洋中上下移动的预测。这种新模型将免费共享，帮助其他科学家对这些过程进行新的研究，并使学生更容易了解北极海洋，海冰以及在温暖世界中的行为变化。该项目将在包括两名学生在内的培训和研究中为几位早期职业科学家提供支持。漂浮的海冰是气候系统的重要组成部分，因为它反映了阳光并充当将海洋与大气分开的障碍。海冰的存在对于确定北极海的温暖和将会成为至关重要的。海面也因波浪而上下移动，这是因为海冰改变了波浪及其运动，影响了表面和深水的混合方式。该项目通过确定北极中与波浪相关的混合发生何时何地以及了解浮冰如何影响这种混合强度来解决这种不确定性。我们将使用通过观察结果告知的小型计算机建模实验，以创建一种新的方法来说明用于预测地球未来的全球气候模型中的这种混合。作为这项工作的一部分，我们将开发并公开共享计算机代码，该代码在各种北极条件下（包括冰和波浪）模拟海洋混合。该法规将广泛地帮助北极海洋学家，并将在俄勒冈州立大学和布朗大学的海洋模型培训海洋模型中使用。该项目将支持从科学生涯初期开始的5个人，从一名本科生到两名助理教授。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响审查标准，认为通过评估来获得珍贵的支持。