Decadal trends in oceanic anthropogenic CO2 from the CLIVAR and GO-SHIP d13C datasets and in an ocean biogeochemistry model
CLIVAR 和 GO-SHIP d13C 数据集以及海洋生物地球化学模型中海洋人为二氧化碳的十年趋势
基本信息
- 批准号:1829796
- 负责人:
- 金额:$ 55.8万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-09-01 至 2022-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The ocean has absorbed about a third of the fossil fuel carbon dioxide (CO2) that humans have emitted, slowing the accumulation of CO2 and its associated trapping of thermal energy in the atmosphere. The research aims to improve our understanding of how this ocean uptake of CO2 will change when ocean circulation responds to continuing changes in climate. Researchers will use observations of the isotopic ratio of carbon (13C/12C) of seawater and atmospheric samples, as a high signal/noise method to determine air-sea transfer rates and storage in the ocean interior of fossil-fuel CO2. Also, a state-of the art ocean C-cycling model will be used to validate the model's air-sea exchange rates and upper ocean storage of fossil-fuel CO2. The additional information provided by 13CO2 will establish important benchmarks on ocean-atmosphere and biosphere-atmosphere C exchanges in models used for forecasting future changes in climate. Results would be incorporated into an outreach program through the University of Washington's Program on Climate Change to educate the public on the impact of human activity and climate on the ocean, atmosphere, and earth. One postdoc would be supported and trained as part of this project.To better understand the processes that control the evolution of the anthropogenic carbon dioxide (CO2) signal in the ocean, we will utilize two characteristics of dissolved inorganic 13Carbon (DIC13) that distinguish it from DIC. First, the 10x longer air-sea equilibration time for DIC13 yields a well-constrained air-sea 13CO2 flux in all basins that is resolvable on decadal time scales. Second, the anthropogenic DIC13 accumulation in the ocean is quantifiable to better signal to noise than anthropogenic DIC itself. The availability of ocean del13C and DIC data from WOCE, CLIVAR and GO-SHIP provide the opportunity to quantify, based on observations alone, the evolution and transports of the anthropogenic DIC and DIC13 signal on regional and global scales in the ocean. Implementation of the anthropogenic DIC and DIC13 perturbations into an ocean model, driven by interannually varying winds, will yield simulations of the DIC and DIC13 evolution that we will compare to observations, helping to identify likely processes causing interdecadal shifts in the rate of this evolution. The combination of observations and model analysis tracking the decadal DIC13 and DIC perturbations are designed to improve our insight into the ocean's important role in modulating climate by taking up and storing anthropogenic CO2.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
海洋吸收了人类发射的化石燃料二氧化碳碳碳(CO2)的三分之一,从而减慢了二氧化碳的积累及其相关的热能捕获在大气中。 该研究旨在提高我们对海洋吸收二氧化碳的吸收的理解,当海洋循环对气候的持续变化做出反应时。 研究人员将使用海水和大气样品的碳(13c/12c)同位素比的观察,作为一种高信号/噪声方法,以确定化石燃料CO2海洋内部的空气传输速率和存储。 此外,将使用最先进的海洋c骑行模型来验证该模型的空气汇率和化石燃料二氧化碳的上海存储。 13CO2提供的其他信息将在用于预测气候未来变化的模型中建立重要的基准和生物圈 - 大气C交换。 结果将通过华盛顿大学的气候变化计划纳入一项外展计划,以教育公众有关人类活动和气候对海洋,大气和地球的影响。 作为该项目的一部分,将支持和培训一个博士后。为了更好地了解控制海洋中人为二氧化碳(CO2)信号的进化的过程,我们将利用将其溶解的无机13Carbon(DIC13)的两个特征与与DIC区分开的特征。 首先,DIC13的10倍较长的空气平衡时间在所有盆地中产生了良好的空气 - sea 13CO2通量,该通量可在衰老的时间尺度上解析。 其次,与人为的DIC本身相比,人为DIC13在海洋中的积累可以更好地向噪声发出信号。来自WOCE,Clivar和Go-Ship的海洋DEL13C和DIC数据的可用性为仅根据观测值,人为DIC和DIC13信号的量化为基础,在海洋中的区域和全球尺度上量化。 在经过近改变的风中驱动的人为DIC和DIC13扰动到海洋模型中的实施将产生DIC和DIC13进化的模拟,我们将与观察结果进行比较,从而帮助识别导致这种进化速率造成进化率的过程。 观察和模型分析跟踪际DIC13和DIC扰动的组合旨在通过占领和存储人为CO2来提高我们对海洋在调节气候中的重要作用的洞察力。这一奖项反映了NSF的法定任务,并认为通过基金会的知识优点和广泛的crietia crietia crietia cribitia criperia criperia cribitia criperia cripitia cripitia criperia cripitia cripitia cripitia recectia cripitia cripitia cripitia rececria cripitia cripitia recteria recteria rection this奖项。
项目成果
期刊论文数量(0)
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Brendan Carter其他文献
Modeling considerations for research on Ocean Alkalinity Enhancement (OAE)
海洋碱度增强(OAE)研究的建模考虑
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
Katja Fennel;Matthew C. Long;Christopher Algar;Brendan Carter;David Keller;A. Laurent;J. P. Mattern;Ruth Musgrave;Andreas Oschlies;Josiane Ostiguy;Jaime B. Palter;D. Whitt - 通讯作者:
D. Whitt
Evaluating the Evolving Ocean Acidification Risk to Dungeness Crab: Time-Series Observations and Modeling on the Olympic Coast, Washington, USA
评估不断变化的海洋酸化对珍宝蟹的风险:美国华盛顿州奥林匹克海岸的时间序列观测和建模
- DOI:
10.5670/oceanog.2023.216 - 发表时间:
2023 - 期刊:
- 影响因子:2.8
- 作者:
Simone R. Alin;S. Siedlecki;Halle Berger;Richard A. Feely;Jeannette Waddell;Brendan Carter;Jan A. Newton;E. Schumacker;Daniel Ayres - 通讯作者:
Daniel Ayres
Acidification of the Global Surface Ocean: What We Have Learned from Observations
全球表层海洋酸化:我们从观测中学到了什么
- DOI:
10.5670/oceanog.2023.222 - 发表时间:
2023 - 期刊:
- 影响因子:2.8
- 作者:
Richard A. Feely;Li‐Qing Jiang;Rik Wanninkhof;Brendan Carter;Simone Alin;N. Bednaršek;C. Cosca - 通讯作者:
C. Cosca
Brendan Carter的其他文献
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{{ truncateString('Brendan Carter', 18)}}的其他基金
Collaborative Research: Improving the accuracy and uncertainty associated with estimated pCO2 from pH sensors on autonomous profiling platforms
协作研究:提高自主分析平台上 pH 传感器估计 pCO2 的准确性和不确定性
- 批准号:
2048509 - 财政年份:2021
- 资助金额:
$ 55.8万 - 项目类别:
Standard Grant
Collaborative Research: Characterizing the evolving oceanic radiocarbon distribution: Sampling and analysis during GOSHIP and ships of opportunity cruises
合作研究:描述不断变化的海洋放射性碳分布特征:GOSHIP 和机会船航行期间的采样和分析
- 批准号:
2046987 - 财政年份:2021
- 资助金额:
$ 55.8万 - 项目类别:
Standard Grant
Collaborative Research: The role of eddies in the propagation and dissipation of wind-driven near-inertial energy: a numerial study bridging OGCM and process simulations
合作研究:涡流在风驱动近惯性能的传播和耗散中的作用:连接 OGCM 和过程模拟的数值研究
- 批准号:
1850761 - 财政年份:2019
- 资助金额:
$ 55.8万 - 项目类别:
Standard Grant
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