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: 2242741
• 负责人: David Trossman
• 金额: $ 27.59万
• 依托单位: University of Maryland, College Park
• 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=2242741&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.

海洋是需要氧气呼吸的较大生命形式的家园，而较小的生命形式产生了大约一半的氧气，我们最终会呼吸。关于观察记录，观察记录表明海洋正在失去其氧气含量。最先进的气候模型预测，这种趋势将持续到21世纪末。由于数据覆盖率稀疏，氧气损失的速率和原因是高度不确定的。近年来，我们从Argo计划的分析浮子的量子舰队进行的测量中大量了解了海洋的盐度和温度变化。迄今为止，这些浮子中的大多数尚未测量氧气。 ARGO计划的生物地球化学（在2000 m上部和深处（4000至6000 m）组件（4000至6000 m）组件的拟议扩展将解决氧气测量中的这种赤字。该项目将设计一种有效的抽样方案，用于观察整个海洋深度的海洋氧。该项目将使用现有的氧观测和最先进的数值工具来提供可行有效的氧采样策略的首次设计。重点是深argo的作用。这项工作将计算浮动种群和分布，以解决随时间和空间的变化。同时，这项工作将解释氧气测量仪器的准确性和稳定性。数值模型将用于确定历史和额外的氧数据如何减少对正在进行的海洋氧损失的不确定性。在项目的过程中，研究人员将领导几项活动，并创建教材，以吸引下一代海洋科学家。他们将传达海洋氧损失的重要性，气候变化的影响以及通过改进的氧气监测来更好地保护生态系统的机会。该奖项反映了NSF的法定任务，并被认为是通过基金会的智力优点和更广泛的影响标准来通过评估来评估的。