Collaborative Research: Fingerprinting Energy and Water Cycle Extremes through a Scale-Interaction Lens
合作研究:通过尺度相互作用透镜对能源和水循环极端情况进行指纹识别
基本信息
- 批准号:2032532
- 负责人:
- 金额:$ 46.24万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-04-01 至 2025-03-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Extreme weather events such as heat waves, cold air outbreaks (CAOs), droughts, and heavy precipitation commonly cause disruptions over regions the size of the northern midwest or the southern great plains. These extremes are generally embedded in large-scale meterological patterns (LMPs). For instance a drought might occur within a high-pressure center which is part of a pattern of highs and lows originating over the North Pacific and extending across the continental US. The LMPs may in turn be generated or influenced by planetary-scale climate modes (PCMs) such as El Nino/Southern Oscillation (ENSO) events and the Arctc Oscillation (AO). Thus efforts to understand and predict extreme weather events, or to anticipate changes in their frequency and intensity due to climate change, must consider the events from a multi-scale perspective that recognizes the interplay of regional, continental, and planetary scales that contribute to them.Work performed here seeks to develop a comprehensive suite of multi-scale metrics, or "fingerprints", for characterizing the atmospheric processes responsible for regional extreme weather events. Once the fingerprints are developed they are used to determine the dynamical mechanisms through which larger-scale processes lead to, or strongly influence, the regional extremes. The research also uses the fingerprints and subsequent dynamical analysis to assess the realism of climate model simulations of regional extremes and their associations with LMPs and PCMs. One analysis technique uses the the tendency equation for geopotential height in a two-layer quasi-geostrophic model to identify "optimal modes", meaning wave patterns which are optimally shaped to extract energy from the mean flow to achieve rapid growth over a few days. Prior work by the Principle Investigators (PIs) and their collaborators used this approach to show that planetary-scale circulation anomalies can alter the mean state in a way that promotes the growth of an optimal mode that promotes CAOs. Additional prior work links the long-term reduction in the summertime equator-to-pole temperature contrast to a reduction in frontal weather systems over North America, which in turn promotes dryer and warmer summers in the US.The work is of societal as well as scientific interest given the disruptions caused by extreme weather. The project supports a graduate student and a postdoctoral research fellow, thereby developing the future workforce in this research area. The PI at Georgia Tech works with the Center for Education Integrating Science, Mathematics and Computing (CEISMC), which conducts K-12 outreach in Atlanta-area schools and organizes summer workshops focused on underrepresented students. The PI at Florida State University works with undergraduate students to produce long-range forecasts of continental-scale CAOs, which have been used by stakeholders from the agriculture, energy, and water sectors.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.
极端天气事件,如热浪、冷空气爆发(CAO)、干旱和强降水,通常会造成北方中西部或南方大平原地区的破坏。 这些极端情况通常嵌入在大尺度气象模式(LMP)中。 例如,干旱可能发生在高压中心,这是起源于北太平洋并延伸到美国大陆的高潮和低谷模式的一部分。 LMPs可能反过来产生或影响行星尺度气候模式(PCM),如厄尔尼诺/南方涛动(ENSO)事件和北极涛动(AO)。因此,要理解和预测极端天气事件,或者预测气候变化导致的极端天气事件频率和强度的变化,必须从多尺度的角度来考虑这些事件,认识到区域、大陆和行星尺度的相互作用。这里所做的工作旨在开发一套全面的多尺度指标,或“指纹”,用于描述导致区域极端天气事件的大气过程。 一旦指纹被开发出来,它们就被用来确定大尺度过程导致或强烈影响区域极端事件的动力机制。 该研究还使用指纹和随后的动力学分析来评估气候模式模拟区域极端事件及其与LMP和PCM的关联的现实性。 一种分析技术使用两层准地转模式中的位势高度趋势方程来确定“最佳模式”,即最佳形状的波型,以从平均流中提取能量,在几天内实现快速增长。 主要研究人员(PI)及其合作者先前的工作使用这种方法表明,行星尺度的环流异常可以改变平均状态,从而促进促进CAO的最佳模式的增长。 额外的先前工作链接的长期减少夏季赤道到极点的温度对比减少在北美的锋面天气系统,这反过来又促进干燥和温暖的夏天在美国。这项工作是社会以及科学的兴趣,鉴于极端天气造成的破坏。 该项目支持一名研究生和一名博士后研究员,从而培养该研究领域未来的劳动力。 PI在格鲁吉亚技术与教育中心整合科学,数学和计算(CEISMC),进行K-12在亚特兰大地区的学校推广,并组织夏季研讨会集中在代表性不足的学生。佛罗里达州立大学的PI与本科生合作,对大陆尺度的CAO进行长期预测,这些预测已被农业、能源和水利部门的利益相关者使用。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
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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Yi Deng其他文献
Formal Methods for Specifying and Analyzing Complex Software Systems
指定和分析复杂软件系统的形式化方法
- DOI:
10.1007/1-4020-4223-x_6 - 发表时间:
2006 - 期刊:
- 影响因子:0
- 作者:
Xudong He;Huiqun Yu;Yi Deng - 通讯作者:
Yi Deng
Nanocatalytic Hydrogel with Rapid Photodisinfection and Robust Adhesion for Fortified Cutaneous Regeneration
具有快速光消毒和强大粘附力的纳米催化水凝胶,可增强皮肤再生
- DOI:
10.1021/acsami.2c17366 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Yimeng Su;Xiumei Zhang;Yan Wei;Yu Gu;Huilun Xu;Ziming Liao;Liqin Zhao;Jingjing Du;Yinchun Hu;Xiaojie Lian;Weiyi Chen;Yi Deng;Di Huang - 通讯作者:
Di Huang
From Mosaic-Type to Heterojunction-Type SEI Films on the Li Anode: Decoupling Chemical and Electrochemical Degradation of the Electrolyte
锂阳极上从马赛克型到异质结型 SEI 膜:电解质化学和电化学降解的解耦
- DOI:
10.1021/acssuschemeng.2c02668 - 发表时间:
2022 - 期刊:
- 影响因子:8.4
- 作者:
Jiaxiang Liu;Nanbiao Pei;Haiming Hua;Yi Deng;Haoshen Ma;Peng Zhang;Jinbao Zhao - 通讯作者:
Jinbao Zhao
Planetary and synoptic-scale dynamic control of extreme cold wave patterns over the United States
美国上空极端寒潮模式的行星和天气尺度动态控制
- DOI:
10.1007/s00382-019-04683-7 - 发表时间:
2019-02 - 期刊:
- 影响因子:4.6
- 作者:
Zuowei Xie;Robert X Black;Yi Deng - 通讯作者:
Yi Deng
Growth Factor-Decorated Ti3C2 MXene/MoS2 2D Bio-Heterojunctions with Quad-Channel Photonic Disinfection for Effective Regeneration of Bacteria-Invaded Cutaneous Tissu
生长因子修饰的 Ti3C2 MXene/MoS2 二维生物异质结与四通道光子消毒可有效再生细菌入侵的皮肤组织
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:13.3
- 作者:
Zhaopu Yang;Xinliang Fu;Daichuan Ma;Yulin Wang;Liming Peng;Jiacheng Shi;Jiyu Sun;Xueqi Gan;Yi Deng;Weizhong Yang - 通讯作者:
Weizhong Yang
Yi Deng的其他文献
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{{ truncateString('Yi Deng', 18)}}的其他基金
Collaborative Research: Understanding Climate Processes with Causal Discovery and Graphs of Information Flow in the Coupled Atmosphere-Land-Ocean System
合作研究:通过大气-陆地-海洋耦合系统中的因果发现和信息流图来了解气候过程
- 批准号:
1445956 - 财政年份:2015
- 资助金额:
$ 46.24万 - 项目类别:
Standard Grant
Collaborative Research: Understanding Transient Behavior of Climate Feedbacks and Its Role in Decadal Climate Variability and Prediction
合作研究:了解气候反馈的瞬态行为及其在十年间气候变化和预测中的作用
- 批准号:
1354402 - 财政年份:2014
- 资助金额:
$ 46.24万 - 项目类别:
Standard Grant
Collaborative Research: Understanding Long-Term Variability in the North Atlantic Subtropical High Driven by Evolving Tropical and Subtropical Large-Scale Heating
合作研究:了解热带和副热带大规模升温驱动的北大西洋副热带高压的长期变化
- 批准号:
1147601 - 财政年份:2012
- 资助金额:
$ 46.24万 - 项目类别:
Standard Grant
CREST: Center of Emerging Technologies for Advanced Information Processing and High-Confidence Systems
CREST:先进信息处理和高可信系统新兴技术中心
- 批准号:
0317692 - 财政年份:2003
- 资助金额:
$ 46.24万 - 项目类别:
Cooperative Agreement
An Aspect-based Approach for Analyzing Security System Architectures
一种基于方面的安全系统架构分析方法
- 批准号:
0226763 - 财政年份:2002
- 资助金额:
$ 46.24万 - 项目类别:
Continuing grant
An Aspect-based Approach for Analyzing Security System Architectures
一种基于方面的安全系统架构分析方法
- 批准号:
0098120 - 财政年份:2001
- 资助金额:
$ 46.24万 - 项目类别:
Continuing Grant
RESEARCH INITIATION AWARD: Executable Specifications for the Design of Object-Oriented Systems
研究启动奖:面向对象系统设计的可执行规范
- 批准号:
9308473 - 财政年份:1993
- 资助金额:
$ 46.24万 - 项目类别:
Standard Grant
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Research on Quantum Field Theory without a Lagrangian Description
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- 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
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