The Abundance of the Stable Carbon Isotopic Ratio of Atmospheric Carbon Dioxide and Oceanic Carbon in Relation to the Global Carbon Cycle and Climatic Change

大气二氧化碳和海洋碳稳定碳同位素比丰度与全球碳循环和气候变化的关系

• 批准号: 9711882
• 负责人: Charles Keeling
• 金额: $ 165万
• 依托单位: University of California-San Diego Scripps Inst of Oceanography
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-01-01 至 2001-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9711882&HistoricalAwards=false
• 关键词: Abundance; Stable; Carbon; Isotopic; Ratio

9711882 Keeling The project will continue Professor Keeling's 40-year atmospheric carbon dioxide time series and his measurements of dissolved inorganic carbon (DIC) and titration alkalinity (TA) of surface sea water at an array of stations (a 13-yr record). The long term goal of this work is to document how the carbon cycle is responding to human activities and to variability in climate. As part of this science objective, the project will continue to produce time series data on the stable carbon isotopic ratio of carbon dioxide and DIC on the same samples of air and water, to identify impacts on the oceanic and terrestrial carbon cycles. The stable isotope information will be combined with laboratory studies to predict to high accuracy the partial pressure of CO2 in sea water from DIC and TA data. Finally, the patterns in the time series data sets will be compared to patterns observed in records of global temperature and of the greenness of vegetation. This additional task is intended to produce knowledge about the fluxes and storage of carbon in natural systems and their relation to climate by detecting temporal and spatial patterns in atmospheric CO2. ATM-9711882

9711882 Keeling该项目将继续Keeling教授的40年大气二氧化碳时间序列以及他对溶解的无机碳（DIC）的测量和在一系列车站的表面海水的滴定碱度（TA）（13岁的记录）。 这项工作的长期目标是记录碳循环如何应对人类活动和气候变异性。 作为这一科学目标的一部分，该项目将继续生成有关二氧化碳和DIC稳定的二氧化碳和DIC的时间序列数据，以确定对海洋和陆地碳周期的影响。 稳定的同位素信息将与实验室研究结合使用，以高准确地预测DIC和TA数据中海水中二氧化碳的部分压力。 最后，将时间序列数据集中的模式与全球温度和植被绿色记录中观察到的模式进行比较。 这项额外的任务旨在通过检测大气二氧化碳中的时间和空间模式来产生有关自然系统中碳的通量和储存的知识及其与气候的关系。 ATM-9711882