Collaborative Research: Global Assessment and Synthesis of Data Based Estimates of Anthropogenic CO2 in the Ocean

海洋是仅次于大气的第二个人为二氧化碳的汇。在过去的十年里，我们通过观测来量化海洋下沉的能力大大提高了。这一改善源于两个主要因素。第一个是JGOFS/WOCE/OACES全球海洋碳调查，它产生了第一个高质量的全球范围的无机碳数据集。第二是不断发展改进的技术，以根据新的测量方法估计人为碳。尽管如此，在估计海洋中人为二氧化碳吸收和储存的空间分布方面仍然存在重大不确定性。这种不确定性源于这样一个事实，即明确识别自然和人为二氧化碳信号的任务远非微不足道。这些估计需要的假设很难验证，其不确定性也很难估计。需要更好地量化空间储存模式及其相关的不确定性，以评估海洋数据限制对全球碳预算和海洋模型评价的价值，如海洋碳循环模型相互比较项目(海洋碳循环模型相互比较项目)进行的评价。在这个项目中，来自加州大学洛杉矶分校、华盛顿大学和普林斯顿大学的一组研究人员将对海洋人为二氧化碳储量的观测估计进行全球分析。他们的目标是评估一系列海洋数据，以提供对海洋人为二氧化碳分布的严格限制的估计。将特别强调对几种方法之间的不确定性和差异的估计。这项工作将依赖并扩展最近完成的和正在进行的研究的结果，这些研究人员作为美国联合全球海洋通量研究综合和建模项目的一部分参与了这些研究。

ABSTRACTOCE-0137274 / OCE-0136617 / OCE-0136897The ocean is second only to the atmosphere as a sink for anthropogenic CO2. Over the last decade, our ability to quantify the oceanic sink using observations has dramatically increased. The improvement derives from two major factors. The first is the JGOFS/WOCE/OACES global ocean carbon survey, which produced the first high-quality, global-scale inorganic carbon data set. The second is the continuing development of improved techniques to estimate anthropogenic carbon from new measurements. Still, significant uncertainties remain regarding estimation of the spatial distribution of anthropogenic CO2 uptake and storage in the sea. This uncertainty derives from the fact that the task of unambiguously discerning the natural and anthropogenic CO2 signals is far from trivial. The estimates require assumptions that are difficult to verify and whose uncertainties are hard to estimate. Better quantification of the spatial storage pattern and the associated uncertainties is required to assess the value of oceanic data constraints on the global carbon budget and ocean model evaluations, such as those undertaken by the Ocean Carbon-cycle Model Intercomparison Project (OCMIP). On this project, a team of researchers from the University of California at Los Angeles, the University of Washington, and Princeton University will perform global analysis of observation-based estimates of the oceanic storage of anthropogenic carbon dioxide. Their goal is to assess a range of ocean data to provide a well-constrained estimate of the oceanic anthropogenic CO2 distribution. Particular emphasis will be placed on the estimation of uncertainties and differences between the several approaches. This work would depend upon and extend results from recently completed and ongoing research that these investigators have been involved in as part of the Synthesis and Modeling Project of the U.S. Joint Global Ocean Flux Study.