课题基金 / 基金详情

Collaborative research: Understanding the spatial and temporal variability of dissolved oxygen through a hierarchy of models.

Collaborative research: Understanding the spatial and temporal variability of dissolved oxygen through a hierarchy of models.
合作研究:通过模型层次结构了解溶解氧的空间和时间变化。
批准号:
1242313
负责人:
Takamitsu Ito
金额:
$12.62万
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
项目状态:
已结题
起止时间:
2012-01-01 至 2014-03-31

项目摘要

项目成果

Takamitsu Ito的其他基金

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中文摘要
翻译
在这个项目中,加州大学洛杉矶分校和科罗拉多州立大学的海洋建模者将开发一个新的理论框架,用于理解和预测海洋氧对大范围气候变率的响应。最近对上层海洋年代际氧变化的观测,现在已经在每个海洋盆地中记录下来,引发了关于潜在机制的几个问题。溶解氧如何在不同时间尺度上对大气强迫作出反应?时间光谱和空间模式是如何与它的驱动力(物理和生物)以及它们之间的耦合联系起来的?对长期趋势和盆地尺度变率的模拟研究表明,溶解氧对物理和生物过程都高度敏感,并被认为是海洋气候变化的示踪剂。然而,对潜在原因的机制理解远未完成,因此需要对氧变率的大尺度模式进行更全面的阐明,特别是随着新数据的迅速增加。研究小组假设,氧气变化的物理和生物驱动因素是由上层海洋的温跃层通风调节的,从而导致大规模、低频变化的增强。该理论为解释两个反复出现的普遍观测结果提出了新的假设:在年代际时间尺度上,氧气的变化是如此普遍,并且集中在水柱中占据共同位置的水域,即通风的温跃层的底部。他们计划使用一系列模型来评估这些预测,这些模型从一维等压模型到最先进的具有生态系统和生物地球化学成分的允许涡流的全球海洋模型。该工作计划将涉及对各种模式的模式进行比较,阐明海洋氧循环的基本和非模式动力学。该项目最终将我们的理论和建模方法应用于观测系统模拟实验(OSSEs),为ARGO-O2项目的全球实施制定未来的观测策略。这将是朝着建立一套工具来理解现实世界中发现的氧变化类型迈出的重要一步,并为分析这一重要示踪剂的广泛观测和建模数据奠定基础。更广泛的影响:研究人员预计,这项工作将阐明缺氧作为海洋中新出现的问题,对渔业管理者和海洋保护工作具有战略重要性。通过拟议的OSSEs,该项目将协助制定最佳观测战略,以便国际努力发展ARGO浮标上的全球氧传感器阵列。这些结果还有望为估计这种不规则采样网络在全球范围内的O2损失提供一个机制基础,从而减少陆地和海洋之间人为CO2吸收分配的量化中的一个关键不确定性。最后,该项目将为两名初级研究生提供培训和支持,并在科罗拉多州立大学为K-12至研究生和公众提供海洋和气候科学的推广活动。
英文摘要
Abstract In this project ocean modelers at The University of California at Los Angeles and Colorado State University will develop a new theoretical framework for understanding and predicting the responses of oceanic oxygen to wide range of climate variability. Recent observations of decadal oxygen changes of in the upper ocean, which now have been documented in every ocean basin, motivate several questions regarding the underlying mechanisms. How does dissolved oxygen respond to atmospheric forcing at different time scales? How do the temporal spectrum and spatial patterns relate to that of its driving forces, both physical and biological, and to the coupling between them? Modeling studies on long-term trends and basin-scale variability revealed that dissolved oxygen is highly sensitive to both physical and biological processes, and it has been suggested as a tracer of climate change in the oceans. However, mechanistic understanding of underlying causes are far from complete, and fuller elucidation of the large-scale modes of oxygen variability is therefore needed, particularly as new data is rapidly increasing. The research team hypothesizes that the physical and biological drivers of oxygen changes are modulated by the thermocline ventilation in the upper ocean, leading to enhanced large-scale, low frequency variability. The theory leads to novel hypotheses for explaining two recurring and general observations: that O2 changes are so prevalent at decadal time scales and are focused in waters occupying a common position in the water column, namely the base of the ventilated thermocline. They plan to evaluate these predictions using a hierarchy of models ranging from a one-dimensional isopycnal model to a state-of-the-art eddy-permitting global ocean model with ecosystem and biogeochemistry components. The work plan will involve comparison of patterns across a hierarchy of models, illuminating fundamental and non-model dependent dynamics of the oceanic oxygen cycle. This project culminates in the application of our theoretical and modeling approach to the Observing System Simulation Experiments (OSSEs) for the proposed global implementation of ARGO-O2 project to develop future observational strategies. This will be a major step toward building a set of tools for understanding the types of O2 variability found in the real world, and laying the groundwork for analyzing a wide range of observational and modeling data for this important tracer. Broader Impacts: The researchers anticipate that this work will shed light on hypoxia as an emerging problem in the ocean of strategic importance to fisheries managers and marine conservation efforts. Through the proposed OSSEs, this project will assist in the formulation of optimal observational strategies for the international efforts to develop the global array of O2 sensors on ARGO floats. The results are also expected to provide a mechanistic basis for estimating global scale losses of O2 from such irregular sampling networks, thus reducing a key uncertainty in the quantification of the partitioning of anthropogenic CO2 uptake between the land and the oceans. Finally, the project will provide for the training and support of two beginning graduate students, as well as outreach activities at Coloado Statue University on oceans and climate science for K-12 through graduate students and for the general public.
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Mapping Dissolved Oxygen using Observations and Machine Learning
  • 批准号:
    2123546
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A Mechanistic Study of Bio-Physical Interaction and Air-Sea Carbon Transfer in the Southern Ocean
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Collaborative Research: Combining Theory and Observations to Constrain Global Ocean Deoxygenation
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Interannual variability of oxygen and macro-nutrients in the Labrador Sea
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