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: 2241664
• 负责人: Joern Callies
• 金额: $ 9.59万
• 依托单位: California Institute of Technology
• 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=2241664&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.

由于其巨大的热容量，海洋吸收了大部分被人为温室气体困住的过剩能量，从而调节了全球变暖的速度。准确测量海洋变暖对于理解地球的能源失衡和气候异常至关重要。该项目将采用一种新的方法，利用重复的自然海底地震激发的地震斯科特波来监测全球大范围深海海洋变暖。初步结果证明了该方法的可行性，并将其推广到全球海洋。现有的地震数据可以用来追踪20世纪90年代以来的深海海平面变暖。这些结果将补充水文测量，并提高对深海对表面作用力的响应动力学的理解。这项工作将为过去几十年来深海海洋变暖提供新的观测约束。调查人员将系统地搜索自20世纪80年代以来浅海重复发生的地震。由这些重复事件激发的肖尔特波沿着海底传播，其传播速度对深海温度很敏感。重复事件之间的肖尔特波旅行时变化，从而限制了深部温度变化。肖尔特波的传播时间对深海温度的敏感性将通过波传播的数值模拟来计算。灵敏度核将用于解释测量的旅行时间变化，推断沿波浪路径的平均深海海洋变暖，并量化不确定性。推断的变暖将与可用的水文和ARGO数据进行比较。提供盆地规模深海海洋变暖的直接估计。这一奖项反映了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。