Collaborative Research: Investigating the Effect of Internal Climate Variability on Sea Level in the Indian Ocean
合作研究:调查内部气候变率对印度洋海平面的影响
基本信息
- 批准号:1558736
- 负责人:
- 金额:$ 8.62万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-03-01 至 2019-02-28
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Some of the most densely populated and vulnerable coastal regions in the world are located in the Indian Ocean basin, and there is considerable evidence that the impact of Indian Ocean variability on climate extends beyond the basin to global scales. Resulting largely from a short and sparse historical record, the understanding of sea level in the Indian Ocean is lacking when compared to other ocean basins. Studying the effect of internal climate variability on sea level in the Indo-Pacific has therefore relied largely on model-based approaches that have been unable to resolve several open questions about climate and sea level variability in the region. In this project, an observation-driven approach is employed to examine these questions and provide an improved understanding of the relationship between internal climate variability and sea level in the Indo-Pacific region. With a longer observational record and through the simultaneous analysis of multiple climate variables and modeled data, this project will improve the understanding of how internal climate variability affects Indian Ocean sea level trends and variability. Established and tested statistical will be used to extract the sea level variability associated with several different climate signals in the Indo-Pacific region. By removing this internal variability, the anthropogenic portion of the sea level trend can be uncovered, reading to improved estimates and interpretation of both past and future sea level rise in the region. Understanding the sea level contribution of internal variability on inter-annual to decadal timescales can also lead to improved prediction of future sea level, again aiding in adaptation and mitigation efforts. Finally, providing an improved assessment of the effect of climate signals on precipitation patterns could have significant impact to populations across the globe. This project is led by two early career investigators and will train two graduate students, thus enhancing the scientific and professional development of young scientists in an area of study (sea level rise) that is of growing concern.This project has the potential to substantially improve sea level rise estimates in the region and contribute to improved planning efforts for the Indian Ocean coastlines most vulnerable to the effects of higher sea levels. By isolating the anthropogenic portion of the sea level trends in the region, assessments can be made regarding how human-activity is affecting sea level and may continue to do so in the future. New and innovative statistical methods will be employed that can better isolate internal oscillatory modes to better quantify Indian Ocean sea level change and advance the current understanding of the Indian Ocean?s role in regional and global climate variability. Using a multivariate reconstruction approach based on cyclo-stationary empirical orthogonal functions (CSEOFs), challenges provided by poor historical sampling can be overcome to investigate sea level in the Indo-Pacific region. The CSEOF multivariate reconstruction algorithm represents a significant advancement in the reconstruction of climate variability. With an improved representation of internal variability and by comparing the current state of sea level to past states, valuable insight will be gained into both how sea level has changed as a result of anthropogenic influences, and how it may change or continue to change in the future. Only with a long, consistent sea level record (in addition to other climate variables) is it possible to gain such an understanding. Furthermore, by combining models with the long observational record, many open questions regarding Indo-Pacific sea level can be investigated and subsequently answered. An assessment of the quality of these models and historical data will also be made, which will provide guidance to those seeking to study the region in the future.
世界上一些人口最密集和最脆弱的沿海地区位于印度洋盆地,有大量证据表明,印度洋气候变化对气候的影响超出了盆地范围,达到了全球范围。与其他海洋盆地相比,对印度洋海平面的了解主要是由于历史记录短而少。因此,研究印度洋-太平洋地区内部气候变化对海平面的影响主要依赖于基于模型的方法,这些方法无法解决有关该地区气候和海平面变化的几个悬而未决的问题。在这个项目中,一个观测驱动的方法来研究这些问题,并提供了一个更好的了解印度-太平洋地区的内部气候变率和海平面之间的关系。该项目有较长的观测记录,并通过同时分析多个气候变量和模拟数据,将增进对内部气候变化如何影响印度洋海平面趋势和变化的了解。建立和测试的统计将被用来提取与印度洋-太平洋地区几个不同的气候信号相关的海平面变化。通过消除这种内部变化,可以揭示海平面趋势的人为部分,阅读以改进对该区域过去和未来海平面上升的估计和解释。了解海平面内部变化对年际到十年时间尺度的贡献也可以改善对未来海平面的预测,这也有助于适应和减缓努力。最后,对气候信号对降水模式的影响进行更好的评估可能会对地球仪的人口产生重大影响。该项目由两名早期职业调查人员领导,将培训两名研究生,从而促进青年科学家在某一研究领域的科学和专业发展(海平面上升)该项目有可能大大改善该区域海平面上升的估计,并有助于改善最容易受到海平面上升影响的印度洋海岸线的规划工作。程度.通过分离该区域海平面趋势中的人为部分,可以评估人类活动如何影响海平面,并可能在未来继续这样做。将采用新的和创新的统计方法,可以更好地隔离内部振荡模式,以更好地量化印度洋海平面变化,并推进目前对印度洋的了解?在区域和全球气候变化中的作用。使用基于循环平稳经验正交函数(CSEOFs)的多变量重建方法,可以克服历史采样不佳所带来的挑战,以调查印度洋-太平洋地区的海平面。CSEOF多变量重建算法代表了气候变率重建的一个重大进展。通过改进内部变化的表示,并将海平面的当前状态与过去的状态进行比较,将获得有价值的见解,了解海平面如何由于人为影响而变化,以及它如何在未来变化或继续变化。只有有长期、一致的海平面记录(加上其他气候变量),才有可能获得这样的理解。此外,通过将模型与长期观测记录相结合,可以调查并随后回答有关印度洋-太平洋海平面的许多悬而未决的问题。还将对这些模型和历史数据的质量进行评估,这将为今后寻求研究该区域的人提供指导。
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)
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Weiqing Han其他文献
亚硝酸和碱性预处理联合促进污泥水解和短链脂肪酸的积累
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:5.8
- 作者:
Jinyou Shen;Weiqing Han;Xiaodong Liu;Lianjun Wang - 通讯作者:
Lianjun Wang
Efficient electrocatalytic bromine evolution and extraction from wastewater by oxygen vacancy enriched Ti/Osubv/sub-Cosub3/subOsub4/sub-NRs electrode
氧空位富集的 Ti/Ov-Cos3O4-NRs 电极对废水中溴的高效电催化析溴和提取
- DOI:
10.1016/j.desal.2024.118088 - 发表时间:
2024-12-21 - 期刊:
- 影响因子:9.800
- 作者:
Xu Yin;Renping Li;Wei Li;Zhifeng Gao;Kajia Wei;Hongwei Zhu;Liankai Gu;Yun Jiang;Weiqing Han - 通讯作者:
Weiqing Han
Erratum to: Ocean atmosphere thermal decoupling in the eastern equatorial Indian ocean
- DOI:
10.1007/s00382-016-3379-x - 发表时间:
2016-10-13 - 期刊:
- 影响因子:3.700
- 作者:
Sudheer Joseph;M. Ravichandran;B. Praveen Kumar;Raju V. Jampana;Weiqing Han - 通讯作者:
Weiqing Han
Enhanced heterogeneous Fenton catalysis by carbon nanotube-loaded Mn doped FeSsub2/sub catalysts for pollutant degradation: Co-enhancement effect of Fe-S-Mn and Fe-S-C linkages
碳纳米管负载的锰掺杂二硫化亚铁催化剂强化非均相芬顿催化降解污染物:铁-硫-锰和铁-硫-碳键的协同增强效应
- DOI:
10.1016/j.seppur.2023.126150 - 发表时间:
2024-05-05 - 期刊:
- 影响因子:9.000
- 作者:
Wei Li;Quanqi Zhu;Xu Yin;Zhifeng Gao;Kajia Wei;Siqi Liu;Xiaoyuan Zhang;Haoming Chen;Yonghao Zhang;Weiqing Han - 通讯作者:
Weiqing Han
Construction of a cathodic MOF/FeOOH heterojunction for boosted Fe(Ⅲ) reduction in electro-Fenton processes
构建用于增强电芬顿过程中 Fe(Ⅲ)还原的阴极 MOF/FeOOH 异质结
- DOI:
10.1016/j.apcatb.2024.124770 - 发表时间:
2025-03-01 - 期刊:
- 影响因子:21.100
- 作者:
Hongwei Zhu;Xu Yin;Yi Wang;Kajia Wei;Liankai Gu;Yonghao Zhang;Zhenshan Duan;Zhen Huang;Haoming Chen;Weiqing Han - 通讯作者:
Weiqing Han
Weiqing Han的其他文献
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{{ truncateString('Weiqing Han', 18)}}的其他基金
Collaborative Research: A new pathway of Indonesian Throughflow in the Indian Ocean: Mechanisms and role in transporting the excess heat and freshwater of the recent hiatus decade
合作研究:印度洋印度尼西亚通流的新途径:近十年间的过剩热量和淡水输送机制和作用
- 批准号:
2242193 - 财政年份:2023
- 资助金额:
$ 8.62万 - 项目类别:
Standard Grant
The Role of Indian Ocean Internal Processes in Generating Decadal Climate Variability
印度洋内部过程在产生年代际气候变化中的作用
- 批准号:
1935279 - 财政年份:2020
- 资助金额:
$ 8.62万 - 项目类别:
Standard Grant
Investigation of Ningaloo Nino - The Role of Madden-Julian Oscillation and Leeuwin Current Variability
Ningaloo Nino 的研究 - Madden-Julian 振荡和 Leeuwin 电流变异性的作用
- 批准号:
1658132 - 财政年份:2017
- 资助金额:
$ 8.62万 - 项目类别:
Standard Grant
Exploring the Causes for Indian Ocean Decadal Climate Variability
探索印度洋年代际气候变化的原因
- 批准号:
1446480 - 财政年份:2015
- 资助金额:
$ 8.62万 - 项目类别:
Standard Grant
CAREER: Causes for the Indian Ocean Vertical Warming Structure and its Decadal Change during Recent Decades
职业:印度洋垂直变暖结构的成因及其近几十年的年代际变化
- 批准号:
0847605 - 财政年份:2009
- 资助金额:
$ 8.62万 - 项目类别:
Standard Grant
Impact of Atmospheric 30-60 Day and Quasi-biweekly Oscillation on Tropical Indian Ocean Dynamics, Heat Transport, and Upper Ocean Heat Content
大气 30-60 天和准双周振荡对热带印度洋动力学、热传输和上层海洋热含量的影响
- 批准号:
0452917 - 财政年份:2005
- 资助金额:
$ 8.62万 - 项目类别:
Standard Grant
Variability of Tropical Indian Ocean Induced by Intraseasonal Atmospheric Forcing
季节内大气强迫引起的热带印度洋变化
- 批准号:
0136836 - 财政年份:2002
- 资助金额:
$ 8.62万 - 项目类别:
Standard Grant
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