Collaborative Research: Measuring abyssal warming with seismic Scholte waves

合作研究：用地震 Scholte 波测量深海变暖

• 批准号: 2241663
• 负责人: Wenbo Wu
• 金额: $ 47.54万
• 依托单位: Woods Hole Oceanographic Institution
• 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: 2023-05-15 至 2026-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2241663&HistoricalAwards=false
• 关键词: Collaborative; Research; Measuring; abyssal; warming

Due to its large heat capacity, the ocean absorbs most of the excess energy trapped by anthropogenic greenhouse gases and thus regulates the rate of global warming. Accurate measurements of the ocean's warming are critical for understanding Earth's energy imbalance and climate anomalies. This project will employ a novel method of using seismic Scholte waves excited by repeating natural submarine earthquakes to monitor the global large-scale abyssal ocean warming. Preliminary results demonstrate the feasibility of the method, which will be expanded to the global ocean. Existing seismic data can be used to track abyssal oceawn warming back to the 1990s. The results will complement hydrographic measurements and improve understanding of the dynamics of the response of the abyssal ocean to surface forcing.This work will provide new observational constraints on abyssal ocean warming over the past few decades. The investigators will systematically search for shallow submarine repeating earthquakes since the 1980s. Scholte waves excited by these repeating events travel along the seafloor, and their propagation speed is sensitive to abyssal temperatures. Scholte wave travel time changes between repeating events thus constrain abyssal temperature change. The sensitivity of Scholte wave travel times to abyssal temperatures will be calculated using numerical simulations of wave propagation. Sensitivity kernels will be used to interpret the measured travel time changes, to infer average abyssal ocean warming along the waves' path, and to quantify uncertainties. The inferred warming will be compared against hydrographic and Argo data where available. Providing direct estimates of basin-scale abyssal ocean warming.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.

由于其热量较大，海洋吸收了人为温室气体所捕获的大部分多余能量，因此调节了全球变暖的速度。对海洋变暖的准确测量对于了解地球的能量失衡和气候异常至关重要。该项目将采用一种新型的方法，即通过重复自然海底地震来监测全球大规模的深渊海洋变暖来使用地震scholte波。初步结果证明了该方法的可行性，该方法将扩展到全球海洋。现有的地震数据可用于跟踪深渊OCEAWN的变暖，以追溯到1990年代。结果将补充水文测量结果，并提高对深渊海洋对表面强迫反应的动态的理解。这项工作将在过去几十年中为深渊海洋变暖提供新的观察性约束。自1980年代以来，调查人员将系统地寻找浅层海底重复地震。这些重复事件沿着海底传播而激发的Scholte海浪，它们的传播速度对深渊温度敏感。 Scholte Wave行进时间在重复事件之间发生变化，从而限制了深渊温度的变化。将使用波传播的数值模拟来计算Scholte Wave行程时间对深渊温度的敏感性。灵敏度内核将用于解释测得的行进时间变化，以推断沿波浪路径的平均深渊海洋变暖，并量化不确定性。可以在可用的地方将推断的变暖与水文和ARGO数据进行比较。该奖项反映了NSF的法定任务，对盆地规模的深处海洋变暖提供了直接估计，并认为使用基金会的知识分子优点和更广泛的影响审查标准，被认为值得通过评估。