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

模式对未来大气二氧化碳水平的准确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，因此这一吸收过程的精确模型对于准确预测地球气候至关重要。由于影响大气中二氧化碳及其在大气、陆地生物群和海洋之间循环的许多过程，地球碳循环模型是复杂的。因此，比较模式输出和观测值是评估模式性能和改进气候预测的必要步骤。在这项研究中，华盛顿大学的研究人员将利用碳示踪剂的新数据集和历史数据集，提高地球系统模型中海洋成分的有效性。这项研究的结果将提高该模式预测海洋中人为二氧化碳循环的准确性。更广泛的影响：这项研究将更好地理解和改进海洋碳循环变化的模型模拟和预测，最终为气候研究做出贡献。该项目将支持一名博士后研究人员，该博士后将进一步加强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。

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.