MCA Pilot PUI: Proxy-model comparison using carbon isotopes from annually banded marine calcifiers and ocean circulation inverse models to evaluate coastal carbon cycle processes

MCA Pilot PUI：使用年度带状海洋钙化物的碳同位素和海洋环流反演模型进行代理模型比较，以评估沿海碳循环过程

• 批准号: 2322042
• 负责人: Branwen Williams
• 金额: $ 32.32万
• 依托单位: Claremont McKenna College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2322042&HistoricalAwards=false
• 关键词: MCA; Pilot; PUI; Proxy; model

The ocean is a large sink of anthropogenic carbon from the atmosphere. Thus, calculating the movement of carbon into the oceans is important to understand future atmospheric carbon dioxide concentrations. Ocean climate models are a powerful tool to understand the processes that control carbon cycling. However, large discrepancies exist among data estimates and an ocean circulation inverse model (OCIM) that models carbon isotopes in the ocean. This project will use data obtained from proxy archives to perform a model-proxy data comparison as an independent test of the model-simulated carbon isotopes. The research would provide the first proxy data – model output comparison of carbon isotope records from marine carbonates and simulations from OCIMs to better understand carbon cycling in the coastal regions of the North Atlantic and North Pacific Oceans. The comparison would address offsets and timing differences due to proxy archive and model biases related to seasonality, air-sea gas exchange, proxy archive chronological uncertainty, and broader environmental/climatic processes not constrained in the model. This project will analyze discrepancies between model output and proxy data to better constrain the carbon cycling processes critical to understanding the removal of anthropogenic carbon dioxide from the atmosphere and into the oceans. Thus, this work will contribute to societally relevant understanding of the processes that mitigate ongoing climate change. The project will support a mid-career researcher at a primary undergraduate institution. At the interface of societally relevant climate science and numerical modeling, this project will train undergraduate students through research experiences and will incorporate content into the curriculum of the new science department, thus providing an investment in workforce capabilities that will extend beyond the project duration.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.

海洋是大气中人类活动产生的碳的一个巨大汇。因此，计算碳进入海洋的运动对于了解未来大气二氧化碳浓度非常重要。海洋气候模型是了解控制碳循环过程的有力工具。然而，数据估计和海洋环流反演模型（OCIM），模拟海洋中的碳同位素之间存在很大的差异。 该项目将使用从代理档案中获得的数据进行模型-代理数据比较，作为模型模拟碳同位素的独立测试。该研究将提供海洋碳酸盐的碳同位素记录和OCIM模拟的第一个代理数据-模型输出比较，以更好地了解北大西洋和北太平洋沿海地区的碳循环。比较将解决抵消和时间差异，由于代理档案和模型的偏差与季节性，海气交换，代理档案时序的不确定性，以及更广泛的环境/气候过程不受约束的模型。 该项目将分析模型输出和替代数据之间的差异，以更好地限制碳循环过程，这对理解从大气中清除人为二氧化碳并进入海洋至关重要。因此，这项工作将有助于从社会角度理解减缓当前气候变化的过程。该项目将支持一个初级本科院校的职业中期研究人员。在与社会相关的气候科学和数值模拟的界面上，该项目将通过研究经验培训本科生，并将内容纳入新的科学系的课程，该奖项反映了NSF的法定使命，并通过使用基金会的知识产权进行评估，被认为值得支持。优点和更广泛的影响审查标准。