CAREER: Modeling Ocean Particle Export Flux by Combining Particle Aggregation and Biogeochemical Models

职业：通过结合粒子聚集和生物地球化学模型来模拟海洋粒子输出通量

• 批准号: 0645485
• 负责人: Adrian Burd
• 金额: $ 60.32万
• 依托单位: University of Georgia Research Foundation Inc
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-03-01 至 2015-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0645485&HistoricalAwards=false
• 关键词: CAREER; Modeling; Ocean; Particle; Export

OCE-0645485An important component of net ecosystem production in the surface ocean sinks to depth where it can be remineralized to carbon dioxide or transit to the bottom. Some of these sinking particles are formed via a number of processes that create rapidly sinking particles that have the potential to transport carbon to the benthos without remineralization. However, currently, very few biogeochemical models explicitly represent the flux of sinking of particles, relying instead on empirical or semi-empirical relationships to distribute material vertically in the water column.In this integrated research and education CAREER proposal, a researcher from the University of Georgia will focus on the development of numerical models of particle export flux from the surface ocean that can be incorporated into regional and global biogeochemical models. The novel aspect of these models is that they will concentrate on the physical and biological processes (coagulation and fecal pellet production) that transform individual, slowly sinking particles into large, rapidly sinking ones. Naively incorporating coagulation models into these models is computationally prohibitive, so new algorithms and parameterizations will have to be developed that represent the salient features of particle coagulation (e.g., particle settling velocities) and the interaction between particle dynamics, ecosystem dynamics and the physical properties of the water column (such as density). This will be accomplished using physical and biogeochemical models of increasing complexity (such as simple mixed layer models and the JGOFS Regional Test Bed Models), with new parameterizations and algorithms being developed at each stage and influencing the next one.The educational component of this proposal is integrated with the research component and aims at enhancing quantitative problem solving skills at all levels using real world, oceanographic data sets. High-school and middle-school teachers will be involved in workshops in which they will develop teaching materials for students involving quantitative analysis from publicly available oceanographic data sets. The PI will further develop undergraduate and graduate level courses that will include the construction and analysis of models from large-scale data sets. The work will be of considerable interest to researchers in biogeochemical cycling and global climate change as well as policy makers and the general public by increasing our ability to make more accurate predictions of the effect the ocean has on the planet's climate. The broader impacts also include increased exposure of teachers and students to the development and analysis of models and their use in understanding and solving real-world oceanographic problems.

OCE-0645485海洋表层生态系统净生产的一个重要组成部分下沉到深处，在那里它可以被重新矿化为二氧化碳或转移到海底。这些下沉颗粒中的一些是通过一些过程形成的，这些过程产生了快速下沉的颗粒，这些颗粒有可能在不重新矿化的情况下将碳输送到底栖生物。然而，目前很少有生物地球化学模型明确表示颗粒物的下沉通量，而是依赖经验或半经验关系来垂直分布在水柱中。在这项综合的研究和教育事业提案中，来自佐治亚大学的一名研究人员将专注于开发可纳入区域和全球生物地球化学模型的表层海洋颗粒物输出通量的数值模型。这些模型的新奇之处在于，它们将专注于物理和生物过程(凝结和粪便颗粒的产生)，这些过程将缓慢下沉的单个颗粒转化为大的、快速下沉的颗粒。天真地将混凝模型纳入这些模型在计算上是令人望而却步的，因此必须开发新的算法和参数，以表示颗粒混凝的显著特征(例如，颗粒沉降速度)以及颗粒动力学、生态系统动力学和水柱的物理性质(例如密度)之间的相互作用。这将利用日益复杂的物理和生物地球化学模型(如简单的混合层模型和JGOFS区域试验床模型)来完成，每个阶段都在开发新的参数和算法，并影响下一个阶段。这项提议的教育部分与研究部分相结合，目的是利用真实世界和海洋数据集在各级加强解决定量问题的技能。高中和中学教师将参加研讨会，在研讨会上，他们将为学生开发涉及从公开可用的海洋数据集中进行定量分析的教材。PI将进一步发展本科生和研究生水平的课程，其中将包括从大规模数据集建立和分析模型。这项工作将引起生物地球化学循环和全球气候变化研究人员以及政策制定者和公众的极大兴趣，因为它提高了我们对海洋对地球气候的影响做出更准确预测的能力。更广泛的影响还包括使教师和学生更多地接触到模型的开发和分析及其在理解和解决现实世界海洋问题方面的使用。