Collaborative Research: Using models and historical data to guide effective monitoring and enhance understanding of deep ocean oxygen variability

合作研究：利用模型和历史数据指导有效监测并增强对深海氧气变化的理解

• 批准号: 2242743
• 负责人: Helen Pillar
• 金额: $ 12.57万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-05-01 至 2026-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2242743&HistoricalAwards=false
• 关键词: Collaborative; Research; Using; models; historical

The ocean is home to larger lifeforms that need oxygen to breathe and smaller lifeforms that produce about half of the oxygen we end up breathing. Concerningly, the observational record indicates that the ocean is losing its oxygen content. State-of-the-art climate models predict this trend will continue through the end of the 21st century. Rates and cause of the oxygen loss are highly uncertain due to sparse data coverage. In recent years, we have learned greatly about the ocean’s salinity and temperature changes from measurements made by the fleet of profiling floats of the Argo program. To date, most of these floats have not measured oxygen. Proposed expansions of the Biogeochemical (operating over the upper 2000 m) and Deep (4000 to 6000 m) components of the Argo program will address this deficit in oxygen measurements. This project will devise an effective sampling protocol for observing ocean oxygen over the full ocean depth. This project will use existing oxygen observations and state-of-the-art numerical tools to provide the first design of a feasible and effective oxygen sampling strategy. The focus is on the role of Deep Argo. This work will calculate the float populations and distributions required to resolve oxygen changes over time and space. At the same time, this work will account for the accuracy and stability of oxygen measuring instruments. Numerical models will be used to determine how historical and additional oxygen data can reduce the uncertainty in understanding of ongoing ocean oxygen loss. Through the course of the project, the researchers will lead several events and create teaching materials to engage the next generation of ocean scientists. They will communicate the importance of ocean oxygen loss, the influence of climate change, and the opportunity to better protect ecosystems through improved oxygen monitoring.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.

海洋是Lafefefems呼吸的家园，较小的寿命是我们结束的氧气的一半，并呼吸，观察性记录表明海洋正在预测其氧气含量。近年来，我们的盐度和温度的变化是21世纪的近年在2000 m的上部和深处（4000至6000 m）ARGO程序的组成部分将解决该项目的氧气测量值。 - 主要的工具，是可行的氧气策略的第一个设计。稳定性氧气量。通过改进的氧气监测，可以更好地进行系统。该奖项反映了NSF的任务，并值得支持基金会的知识分子优点和更广泛的影响审查标准。