Collaborative Research: An Inverse and Forward Global Modeling Synthesis of Noble Gases to Better Quantify Biogeochemical Cycles

合作研究：稀有气体的逆向和正向全局建模合成，以更好地量化生物地球化学循环

• 批准号: 1129644
• 负责人: David Nicholson
• 金额: $ 39.22万
• 依托单位: Woods Hole Oceanographic Institution
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-15 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1129644&HistoricalAwards=false
• 关键词: Collaborative; Research; Inverse; Forward; Global

The noble gases (helium, neon, argon, krypton, xenon) are dissolved in the ocean at concentrations near equilibrium with the atmosphere, have known physical properties, and are abiotic which makes them excellent tracers of the physical processes that cycle gases in the ocean. In addition, each of the gases has unique properties making them sensitive to different physical processes. For this reason, scientists from Woods Hole Oceanographic Institution and Lamont-Doherty Earth Observatory will use inverse and forward modeling of noble gases to improve our knowledge of the physical processes that control the cycle of gases such as carbon dioxide, oxygen, and nitrogen in the ocean. Specifically, they would address the following three processes: (1) parameterize bubble mediated air-sea gas fluxes from breaking waves; (2) identify the background ocean accumulation of dissolved nitrogen gas from biologically mediated denitrification in the deep ocean; and (3) evaluate the strength of the solubility pump using three ocean models. To accomplish their goal, the researchers plan to compile all available noble gas observations prior to constraining gas cycling via simulations performed using three state-of-the-art ocean circulation estimates based on the Community Earth System Model, the Geophysical Fluid Dynamics Laboratory Coupled Climate Model, and the Estimating the Circulation and Climate of the Ocean data assimilated model. From this modeling effort, the researchers will be able to interpret upper ocean oxygen measurements from autonomous sensors, constrain deep ocean denitrification, and evaluate the solubility pump which is needed to assess the anthropogenic uptake of carbon dioxide. As regards broader impacts, the scientists will create a version of the transport matrix method for use in graduate student courses. The database of noble gas observations along with data standards and metadata will be made available to the science community, as well as the transport matrices from the Community Earth System Model and Geophysical Fluid Dynamics Laboratory Couple Climate Model 2.1. One postdoc from Woods Hole Oceanographic Institution (WHOI) will be supported by this project. It is anticipated that an undergraduate students will be involved in the study and supported via the WHOI Summer Fellowship Program.

惰性气体(氦、氦、氩、氪、氙气)以与大气接近平衡的浓度溶解在海洋中，具有已知的物理性质，并且是非生物的，这使它们成为海洋中循环气体的物理过程的极佳示踪物。此外，每种气体都有独特的性质，使它们对不同的物理过程敏感。为此，来自伍兹霍尔海洋研究所和拉蒙特-多尔蒂地球天文台的科学家将使用惰性气体的反向和正向模拟，以提高我们对控制海洋中二氧化碳、氧气和氮气等气体循环的物理过程的了解。具体地说，它们将涉及以下三个过程：(1)将来自破碎波的气泡介导的气-海气体通量参数化；(2)确定深海生物介导的反硝化作用所产生的溶解氮气在海洋中的背景积累；(3)使用三个海洋模型评估溶解度泵的强度。为了实现他们的目标，研究人员计划在限制气体循环之前汇编所有可用的惰性气体观测数据，方法是使用基于共同体地球系统模型、地球物理流体动力学实验室耦合气候模型和估计海洋环流和气候同化模型的三种最先进的海洋环流估计进行模拟。通过这种建模工作，研究人员将能够解释来自自主传感器的上层海洋氧气测量结果，限制深海反硝化作用，并评估评估人为二氧化碳吸收所需的溶解度泵。至于更广泛的影响，科学家们将创建一个版本的运输矩阵方法，用于研究生课程。将向科学界提供惰性气体观测数据库以及数据标准和元数据，并提供共同体地球系统模型和地球物理流体动力学实验室气候模型2.1的传输矩阵。伍兹霍尔海洋研究所(WHOI)的一名博士后将得到该项目的支持。预计本科生将参与这项研究，并通过世界卫生组织暑期奖学金计划提供支持。