Regional air-sea CO2 fluxes from the WOCE and CLIVAR 13C-DIC dataset and in an ocean carbon cycle model

来自 WOCE 和 CLIVAR 13C-DIC 数据集以及海洋碳循环模型的区域海气 CO2 通量

• 批准号: 1356756
• 负责人: Rolf Sonnerup
• 金额: $ 59.38万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-02-01 至 2019-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1356756&HistoricalAwards=false
• 关键词: Regional; air; sea; CO2; fluxes

Accurate model predictions of future atmospheric CO2 levels are critical for anticipating and planning for the impact of climate change. Since about one-quarter of fossil fuel combustion-derived CO2 is taken up by the ocean, accurate models of this uptake process are essential to accurately forecast the earth's climate. Models of the earth's carbon cycle are complex because of the many processes affecting atmospheric CO2 and its cycling between the atmosphere, terrestrial biota, and ocean. Thus, comparison between model output and observations is an essential step to evaluating model performance and improving climate predictions. In this study, researchers from the University of Washington will aim to improve the validity of the ocean component of the Earth System Model using new and historic datasets of a carbon tracer. Results from this study will increase the accuracy of the model's predicted cycling of anthropogenic CO2 in the ocean.Broader Impacts: The research will provide a better understanding of, and improved model simulations and forecasts of the changing ocean carbon cycle, ultimately contributing to climate research. The project will support a postdoctoral researcher, who will further their expertise in carbon cycle research and advance their scientific career.

未来大气二氧化碳水平的准确模型预测对于预测和计划气候变化的影响至关重要。由于大约有四分之一的化石燃料燃烧二氧化碳被海洋占用，因此这种摄取过程的准确模型对于准确预测地球气候至关重要。由于许多影响大气二氧化碳及其在大气，陆地生物群和海洋之间的循环的过程，地球循环的模型很复杂。因此，模型输出与观察之间的比较是评估模型性能并改善气候预测的重要步骤。在这项研究中，华盛顿大学的研究人员将使用碳示踪剂的新数据集和历史数据集提高地球系统模型的海洋组成部分的有效性。这项研究的结果将提高该模型在海洋中预测的人为CO2循环的准确性。Boader的影响：该研究将提供更好的了解，改进的模型模拟和对不断变化的海洋碳循环的预测，最终为气候研究做出了贡献。该项目将支持博士后研究人员，他们将在碳循环研究方面进一步发展其专业知识并提高其科学生涯。