North Atlantic circulation during past abrupt climate events in the Holocene

全新世过去突然气候事件期间的北大西洋环流

• 批准号: 2547173
• 金额: --
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2547173
• 关键词: North; Atlantic; circulation; during; past

The formation and circulation of deep waters in the North Atlantic is a critical component of the global climate system. Periods of abrupt climate change have occurred frequently during the Holocene (the last ~11,700 years), but the causal mechanisms and role of the North Atlantic preceding these events are not well understood. The aim of this project is to identify what changes, if any, occurred in the circulation and formation of deep waters before, during, and after key abrupt climate events throughout the Holocene (e.g., the 8.2ka, 4.2ka, and 2.7ka BP events). The project will utilise a wide range of palaeoceanographic proxies including analysis of stable isotopes and trace metals, sortable silt, radiocarbon ventilation age, and neodymium isotopic composition. These methods will enable the reconstruction of deep-water ventilation, flow speed, and the vertical distribution of deep watermasses. Current models struggle to reconstruct past climate variability, and the stability of the North Atlantic circulation remains somewhat uncertain. Constraining the behaviour of the North Atlantic during periods of abrupt climate is critical for constraining the mechanisms involved in abrupt climate change, improving climate model simulation of such events, and informing our understanding of the likelihood of similar abrupt events occurring in the future.

北大西洋深水的形成和循环是全球气候系统的关键组成部分。在全新世（最后约11,700年）中，突然发生的气候变化时期经常发生，但是在这些事件之前的北大西洋的因果机制和作用尚不清楚。该项目的目的是确定在整个全新世之前，期间，期间和之后深水的循环和形成中发生的变化（例如，8.2KA，4.2KA和2.7KA BP事件）。该项目将利用广泛的古生图代理，包括分析稳定的同位素和微量金属，可排序的淤泥，放射性碳通气年龄和新近同位素组合物。这些方法将使深水通风，流速和深水水流的垂直分布重建。当前的模型难以重建过去的气候变异性，北大西洋循环的稳定性仍然不确定。在突然气候期间限制北大西洋的行为对于限制突然的气候变化所涉及的机制，改善此类事件的气候模型模拟以及我们对未来发生类似突然事件的可能性的理解至关重要。