Collaborative Research: Investigating meso- and submeso-scale variability in air-sea CO2 exchange in the Gulf Stream region with autonomous platforms

合作研究：利用自主平台研究湾流地区海气二氧化碳交换的中观和亚中观尺度变化

• 批准号: 2148276
• 负责人: Jaime Palter
• 金额: $ 14.32万
• 依托单位: University of Rhode Island
• 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: 2022-04-15 至 2024-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2148276&HistoricalAwards=false
• 关键词: Collaborative; Research; Investigating; meso; submeso

The Gulf Stream current in the North Atlantic Ocean transports a large amount of warm water from south to north. Much of this heat is lost to the atmosphere as cold winds blow over the ocean. This heat loss causes local changes in the solubility of carbon dioxide in seawater and increases mixing of the upper ocean. Both of these impacts affect the ocean’s ability to take up carbon dioxide from the atmosphere. Knowledge of the ocean’s carbon uptake in this region is important for our ability to understand and predict the global carbon cycle that determines atmospheric carbon dioxide levels. Conditions in the Gulf Stream region change rapidly and are hard to sample, however. In this project, investigators will deploy a robotic glider for several weeks to measure temperature and salinity in the upper 1000 meters of the Gulf Stream region. The glider will overlap with other robotic vehicles called Saildrones that take measurements of surface waters and the atmosphere. Together these vehicles will produce a picture of ocean conditions and carbon uptake that is not possible with short-term sampling from ships. This project will support an early career scientist, a postdoctoral scholar, and a graduate student.In this project, the Principal Investigators (PIs) will deploy one autonomous glider during the late spring-early summer of 2022 that will measure subsurface ocean properties in upper 1000 m of the Gulf Stream region. This glider will target the waters around three Saildrones that are deployed in this area through an independent project funded by Google.org. Uncrewed surface vehicles such as Saildrone autonomously measure surface oceanic and atmospheric variables at high temporal resolution but generally lack subsurface observations. The water column data from the glider and the surface data from the Saildrones will allow the PIs to test the effectiveness of the synergy of the glider-Saildrone combination as a method to holistically characterize the ocean variability on the scale of tens of kilometers.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.

北大西洋的海湾溪流从南到北运送大量温水。当寒风吹在海洋上时，大部分热量损失了大气。这种热量损失会导致二氧化碳在海水中溶解度的局部变化，并增加上海洋的混合。这两种影响都会影响海洋从大气中占据二氧化碳的能力。了解该地区海洋的碳吸收对于我们理解和预测决定大气二氧化碳水平的全球碳循环的能力很重要。但是，海湾流区域的条件迅速变化，很难采样。在该项目中，研究人员将在墨西哥湾流地区上方1000米的上部部署机器人滑翔机几周来测量温度和盐度。滑翔机将与其他称为帆船的机器人车辆重叠，这些机器人车辆对地表水和大气进行测量。这些车辆将共同产生海洋状况和碳吸收的图片，而船只的短期采样是不可能的。该项目将支持早期的职业科学家，博士后科学和研究生。在该项目中，首席研究人员（PIS）将在2022年春末至今的春季夏季中部署一个自主滑翔机，该滑翔机将测量墨西哥湾流地区上1000 m的地下海洋物业。该滑翔机将通过由Google.org资助的独立项目在三个帆船周围的水域瞄准。诸如Saildrone之类的未拧干的表面车辆在高临时分辨率下自主测量的表面海洋和大气变量，但通常缺乏地下观测。来自滑翔机的水柱数据和帆船的表面数据将使PIS测试滑翔机 - 售货机组合的协同作用的有效性，作为一种整体上对海洋的可变性来表征数十公里的海洋可变性的方法。该奖项反映了NSF的法定任务，并通过使用基金会的智能构成了Crcriatial and crrit和广泛的评估。