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.

北大西洋的墨西哥湾流将大量的温水从南向北输送，当冷风吹过海洋时，大部分热量损失到了大气中。这种热量损失导致了二氧化碳溶解度的局部变化。这两种影响都会影响海洋从大气中吸收二氧化碳的能力，了解该地区海洋的碳吸收对于我们了解和预测全球碳循环的能力非常重要。测定大气中的二氧化碳然而，墨西哥湾流地区的情况变化很快，很难进行采样，但在该项目中，研究人员将部署一架机器人滑翔机，用于测量墨西哥湾流地区上层 1000 米的温度和盐度。与其他名为 Saildrones 的机器人车辆重叠，这些机器人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像，这是通过船舶短期采样无法实现的。 ,在该项目中，首席研究员 (PI) 将在 2022 年春末夏初部署一架自主滑翔机，测量墨西哥湾流地区上部 1000 米的地下海洋特性。滑翔机将瞄准该地区部署的三架 Saildrone 周围的水域，这些无人机是由 Google.org 资助的一个独立项目，例如 Saildrone 等无人水面飞行器，可自动测量高空的表面海洋和大气变量。时间分辨率，但通常缺乏来自滑翔机的水柱数据和来自 Saildrone 的表面数据，这将使 PI 能够测试滑翔机与 Saildrone 组合的协同作用的有效性，作为一种全面表征海洋变化的方法。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。