Selecting and Applying an Inverse Method to Infer Particle Dynamics from GEOTRACES Data

选择并应用反演方法从 GEOTRACES 数据推断粒子动力学

• 批准号: 1232578
• 负责人: Olivier Marchal
• 金额: $ 52.94万
• 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: 2012
• 资助国家: 美国
• 起止时间: 2012-08-15 至 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1232578&HistoricalAwards=false
• 关键词: Selecting; Applying; Inverse; Method; Infer

Processes affecting ocean particles have important consequences for the marine biogeochemical cycles of trace elements; however, our present understanding of these processes is incomplete, as shown by the very large uncertainties (spanning orders of magnitude) of current estimates of particle cycling rates in the ocean. The extensive trace element dataset being generated as part of the GEOTRACES program provides an opportunity to enhance our knowledge of particle processes in a variety of oceanic environments. A scientist from Woods Hole Oceanographic Institution plans to determine the adequacy of different inverse methods to constrain particle processes such as solid-solution exchange and particle processes in the water column from measurements of thorium isotope activity, particle composition, and particle concentration in different size fractions. To attain this goal, the researcher would first assess the adequacy of different inverse methods to infer, from such an eclectic dataset, rate constants of sorption reactions (adsorption and desorption) and particle dynamics (aggregation, disaggregation, sinking, and remineralization). The second step would involve applying the selected method to estimate these constants and their uncertainties at the "superstations" of the GEOTRACES North Atlantic Zonal Section. Once the model is in place, the scientist would test the hypotheses that the rate constants varied (1) vertically within the mesopelagic layer and the deeper layers at these stations and (2) horizontally across the diverse environments sampled along the section.Broader Impacts: The software to be developed would be archived with the Biological and Chemical Oceanography Data Management Office with instructions so other scientist can use it. One graduate student would be trained on the use of inverse methods in data analyses.

影响海洋颗粒的过程对痕量元素的海洋生物地球化学循环产生了重要的后果。但是，我们目前对这些过程的理解是不完整的，如海洋粒子循环速率的当前估计值的非常大的不确定性（跨度数量级）所示。作为GeoTraces程序的一部分生成的广泛的痕量元素数据集为增强我们对各种海洋环境中粒子过程的了解提供了机会。 伍兹孔海洋学机构的科学家计划确定不同反向方法的适当性，以限制粒子过程，例如水柱中的固体溶液交换和颗粒过程，从throp的同位素活性，粒子组成和粒子浓度不同尺寸分数中的测量。为了实现这一目标，研究人员将首先评估不同反向方法的适当性，从这种折衷的数据集，吸附反应的速率常数（吸附和解吸）和粒子动态（聚集，分解，沉没，沉没和回忆）。第二步将涉及应用选定的方法估计这些常数及其在北大西洋地区北大区域的“超级巨星”中的不确定性。该模型成立后，科学家将测试速率在中质层中垂直变化（1）在这些站点的垂直变化（1），并且（2）在沿该部分采样的各种环境中水平进行水平的层面。BROADER的影响：将与生物学和化学数据管理办公室一起归档，并将其与其他科学一起使用。将对一名研究生在数据分析中使用反向方法的培训。