Collaborative Research: A Parameterization of Near-Shore Ocean Chemical Dynamics for Global Ocean Circulation/Carbon Cycle Models
合作研究:全球海洋环流/碳循环模型的近岸海洋化学动力学参数化
基本信息
- 批准号:0327120
- 负责人:
- 金额:$ 4.3万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2003
- 资助国家:美国
- 起止时间:2003-09-01 至 2003-11-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
ABSTRACTOCE-0327181 / OCE-0327120On this project, researchers at the University of Chicago and the University of New Hampshire will develop a parameterization of the shallow water carbon cycle for inclusion into global-scale ocean carbon cycle models (henceforth referred to as GCMs). GCMs are, by necessity, too coarsely gridded to resolve the physics and biochemistry of shallow waters and therefore suffer in their treatment of processes like the burial of organic carbon, denitrification, and CaCO3 compensation. As a result, they fail to incorporate the effect of the ocean margins on the global ocean carbon cycle and climate. Numerous regional studies have examined the role of the continental shelves in the export of carbon, iron, and as a sink for nitrogen. It therefore seems timely, to synthesize the data from such field studies, examine the sensitivity of sediment-water fluxes and across-shelf biogeochemical transport to various parameters, and build a parameterization that will capture the contribution of the ocean margins in the global ocean carbon cycle over glacial-interglacial time scales. As a first step, this project will focus on building such a parameterization based on two regions that have been extensively studied, but differ in their characteristics: The eastern US continental shelf and the western US coasts of Oregon and California. It will act in response to parameters like the width and depth of continental shelves, changes in wind stress and open ocean circulation, and continental runoff, while using the Muds model to estimate the sediment-water fluxes. The sensitivity of coastal biogeochemical fluxes to these parameters will be tested with a high resolution coastal ocean circulation model configured to these sites, before generalizing to other regions. The parameterization will then be coupled to a GCM at every coastal grid point, providing the chemical fluxes to and from coastal waters and sediments. The full model (GCM + coastal submodel) will be used to assess the effect of shallow waters on the carbon cycle over glacial cycles while responding to glacial / interglacial sea level change. It will also be used to make future assessments of the shallow water CaCO3 dissolution response to fossil fuel CO2.
ABSTRACTOCE-0327181 / OCE-0327120在这个项目中,芝加哥大学和新罕布什尔大学的研究人员将开发浅水碳循环的参数化,以纳入全球规模的海洋碳循环模型(以下简称 GCM)。 GCM 的网格必然过于粗糙,无法解决浅水区的物理和生物化学问题,因此在处理有机碳埋藏、反硝化和 CaCO3 补偿等过程时会受到影响。因此,他们未能考虑海洋边缘对全球海洋碳循环和气候的影响。许多区域研究探讨了大陆架在碳、铁出口和氮汇方面的作用。因此,综合此类实地研究的数据,检查沉积物-水通量和跨陆架生物地球化学传输对各种参数的敏感性,并建立一个参数化,以捕获海洋边缘在冰期-间冰期时间尺度上全球海洋碳循环中的贡献,似乎是及时的。作为第一步,该项目将侧重于基于两个已被广泛研究但特征不同的区域构建这样的参数化:美国东部大陆架以及俄勒冈州和加利福尼亚州的美国西部海岸。它将响应大陆架宽度和深度、风应力和开放海洋环流以及大陆径流等参数的变化,同时使用 Muds 模型来估计沉积物-水通量。在推广到其他区域之前,将使用针对这些地点配置的高分辨率沿海海洋环流模型来测试沿海生物地球化学通量对这些参数的敏感性。然后,参数化将与每个沿海网格点的 GCM 耦合,提供进出沿海水域和沉积物的化学通量。完整模型(GCM + 沿海子模型)将用于评估浅水区对冰川循环碳循环的影响,同时响应冰川/间冰期海平面变化。它还将用于未来评估浅水 CaCO3 溶解对化石燃料 CO2 的响应。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Amala Mahadevan其他文献
Formation of interleaving layers in the Bay of Bengal
- DOI:
10.1016/j.dsr2.2019.104717 - 发表时间:
2020-02-01 - 期刊:
- 影响因子:
- 作者:
Gualtiero Spiro Jaeger;Andrew J. Lucas;Amala Mahadevan - 通讯作者:
Amala Mahadevan
Eddy effects on biogeochemistry
涡动对生物地球化学的影响
- DOI:
10.1038/nature13048 - 发表时间:
2014-01-29 - 期刊:
- 影响因子:48.500
- 作者:
Amala Mahadevan - 通讯作者:
Amala Mahadevan
酸素に富むAGB星周における高温凝縮ダスト形成過程解明への赤外分光スペクトルその場計測実験
原位红外光谱测量实验揭示富氧AGB轨道高温凝结尘埃形成过程
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
Takeyoshi Nagai;Amit Tandon;Eric Kunze;Amala Mahadevan;笠原成,渡邊大樹,水上雄太,三上拓也,川本雄太,藏田聡信,芝内孝禎,松田祐司,Anna Boehmer,Thomas Wolf,Peter Adelmann,Christoph Meingast;木村 勇気,田中今日子,竹内伸介,塚本勝男,三浦均,稲富裕光 - 通讯作者:
木村 勇気,田中今日子,竹内伸介,塚本勝男,三浦均,稲富裕光
The 48th Liege colloquium: submesoscale processes: mechanisms, implications, and new frontiers
- DOI:
10.1007/s10236-018-1173-5 - 发表时间:
2018-06-18 - 期刊:
- 影响因子:1.900
- 作者:
Alexander Barth;Amala Mahadevan;Ananda Pascual;Simon Ruiz;Charles Troupin - 通讯作者:
Charles Troupin
Amala Mahadevan的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Amala Mahadevan', 18)}}的其他基金
Collaborative Research: Internal Lee-Wave Dissipation in Oceanic Flows with Mean Shear
合作研究:平均剪切海洋流中的内部利波耗散
- 批准号:
1756279 - 财政年份:2018
- 资助金额:
$ 4.3万 - 项目类别:
Standard Grant
Collaborative Research: Role of Mixed Layer Eddies on Phytoplankton Productivity in Seasonally Variable Regimes
合作研究:混合层涡流对季节变化条件下浮游植物生产力的作用
- 批准号:
1434788 - 财政年份:2014
- 资助金额:
$ 4.3万 - 项目类别:
Standard Grant
Eddy-Driven Subduction of Particulate Carbon During the North Atlantic Spring Bloom
北大西洋春季水华期间涡流驱动的颗粒碳俯冲
- 批准号:
1260080 - 财政年份:2013
- 资助金额:
$ 4.3万 - 项目类别:
Standard Grant
Collaborative Research: The Effect of Submesoscale Processes on Property Fluxes and Distributions in the Upper Ocean
合作研究:次尺度过程对上层海洋属性通量和分布的影响
- 批准号:
0623513 - 财政年份:2006
- 资助金额:
$ 4.3万 - 项目类别:
Standard Grant
Collaborative Research: A Parameterization of Near-Shore Ocean Chemical Dynamics for Global Ocean Circulation/Carbon Cycle Models
合作研究:全球海洋环流/碳循环模型的近岸海洋化学动力学参数化
- 批准号:
0401663 - 财政年份:2003
- 资助金额:
$ 4.3万 - 项目类别:
Standard Grant
相似国自然基金
Research on Quantum Field Theory without a Lagrangian Description
- 批准号:24ZR1403900
- 批准年份:2024
- 资助金额:0.0 万元
- 项目类别:省市级项目
Cell Research
- 批准号:31224802
- 批准年份:2012
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research
- 批准号:31024804
- 批准年份:2010
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research (细胞研究)
- 批准号:30824808
- 批准年份:2008
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
- 批准号:10774081
- 批准年份:2007
- 资助金额:45.0 万元
- 项目类别:面上项目
相似海外基金
Collaborative Research: Sea-state-dependent drag parameterization through experiments and data-driven modeling
合作研究:通过实验和数据驱动建模进行与海况相关的阻力参数化
- 批准号:
2404369 - 财政年份:2024
- 资助金额:
$ 4.3万 - 项目类别:
Standard Grant
Collaborative Research: Sea-state-dependent drag parameterization through experiments and data-driven modeling
合作研究:通过实验和数据驱动建模进行与海况相关的阻力参数化
- 批准号:
2404368 - 财政年份:2024
- 资助金额:
$ 4.3万 - 项目类别:
Standard Grant
Collaborative Research: RUI--Applying Measurements, Models, and Machine Learning to Improve Parameterization of Aerosol Water Uptake and Cloud Condensation Nuclei
合作研究:RUI——应用测量、模型和机器学习来改进气溶胶吸水和云凝核的参数化
- 批准号:
2307150 - 财政年份:2023
- 资助金额:
$ 4.3万 - 项目类别:
Standard Grant
Collaborative Research: RUI--Applying Measurements, Models, and Machine Learning to Improve Parameterization of Aerosol Water Uptake and Cloud Condensation Nuclei
合作研究:RUI——应用测量、模型和机器学习来改进气溶胶吸水和云凝核的参数化
- 批准号:
2307151 - 财政年份:2023
- 资助金额:
$ 4.3万 - 项目类别:
Standard Grant
Collaborative Research: Combined Waves and Currents over Multi-Scale Topography: From Boundary Layer Dynamics to Parameterization
合作研究:多尺度地形上的组合波和流:从边界层动力学到参数化
- 批准号:
2123708 - 财政年份:2021
- 资助金额:
$ 4.3万 - 项目类别:
Standard Grant
Collaborative Research: Combined Waves and Currents over Multi-Scale Topography: From Boundary Layer Dynamics to Parameterization
合作研究:多尺度地形上的组合波和流:从边界层动力学到参数化
- 批准号:
2123709 - 财政年份:2021
- 资助金额:
$ 4.3万 - 项目类别:
Standard Grant
Collaborative Research: Combined Waves and Currents over Multi-Scale Topography: From Boundary Layer Dynamics to Parameterization
合作研究:多尺度地形上的组合波和流:从边界层动力学到参数化
- 批准号:
2123707 - 财政年份:2021
- 资助金额:
$ 4.3万 - 项目类别:
Standard Grant
Collaborative Research: Understanding the chemical and physical variability of smoke using plume spatial gradients: analysis and parameterization for air quality and climate models
合作研究:利用羽流空间梯度了解烟雾的化学和物理变化:空气质量和气候模型的分析和参数化
- 批准号:
1950327 - 财政年份:2020
- 资助金额:
$ 4.3万 - 项目类别:
Standard Grant
Collaborative Research: Understanding the chemical and physical variability of smoke using plume spatial gradients: analysis and parameterization for air quality and climate models
合作研究:利用羽流空间梯度了解烟雾的化学和物理变化:空气质量和气候模型的分析和参数化
- 批准号:
1950333 - 财政年份:2020
- 资助金额:
$ 4.3万 - 项目类别:
Standard Grant
Collaborative Research: HDR Elements: Software for a new machine learning based parameterization of moist convection for improved climate and weather prediction using deep learning
合作研究:HDR Elements:基于新机器学习的湿对流参数化软件,利用深度学习改进气候和天气预报
- 批准号:
1835769 - 财政年份:2018
- 资助金额:
$ 4.3万 - 项目类别:
Standard Grant














{{item.name}}会员




