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CO2水平的准确模型预测对于预测和规划气候变化的影响至关重要。由于大约四分之一的化石燃料燃烧产生的二氧化碳被海洋吸收，因此这种吸收过程的精确模型对于准确预测地球气候至关重要。地球碳循环的模型是复杂的，因为许多过程影响大气中的二氧化碳和它在大气，陆地生物群和海洋之间的循环。因此，模式输出和观测之间的比较是评估模式性能和改进气候预测的重要步骤。在这项研究中，来自华盛顿大学的研究人员将致力于使用碳示踪剂的新数据集和历史数据集来提高地球系统模型中海洋部分的有效性。这项研究的结果将提高该模型预测的海洋中人为CO2循环的准确性。更广泛的影响：这项研究将提供更好的理解，并改进海洋碳循环变化的模型模拟和预测，最终有助于气候研究。该项目将支持博士后研究人员，他们将进一步发展他们在碳循环研究方面的专业知识，并推进他们的科学事业。