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Collaborative Research: Understanding the Origins of Hazardous Convective Weather Environments through Reduced-complexity Climate Modeling Experiments

Collaborative Research: Understanding the Origins of Hazardous Convective Weather Environments through Reduced-complexity Climate Modeling Experiments
合作研究:通过降低复杂性的气候模拟实验了解危险对流天气环境的起源
批准号:
1648681
负责人:
Daniel Chavas
金额:
$50.19万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-08-15 至 2022-07-31

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项目成果

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中文摘要
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英文摘要
Hazardous convective weather (HCW), including tornadoes, damaging wind, and hail, poses significant risk to life and property each year. HCW events are small scale with short duration time, which makes it extremely difficult to predict their occurrence even a few hours in advance. However, they do often form and develop preferentially within certain larger-scale environments and primarily in a few geographical regions globally, the most prominent of which is the Eastern United States. Why these potentially deadly larger-scale environments are confined to such specific regions is not well understood. This lack of knowledge greatly limits our ability to predict how the risk posed to society by these events vary on inter-annual and multi-decadal timescales. This research project aims to examine the factors (such as land-sea contrasts, elevated terrain upstream, and their interferences with atmospheric jet streams) that contribute to environments favorable for the generation of HCW events. Because it is difficult to disentangle specific physical mechanisms that are responsible for HCW environments using observations and realistic modeling simulations alone, the PIs will perform a series of experiments using reduced-complexity models where gross representations of land and terrain are imposed under various complexity configurations. The project is designed to enhance understanding of the fundamental processes underlying the natural hazards associated with convective weather. It aims to improve our capability to model weather hazards by determining the key elements that must be included in models to capture the distribution of HCWs and the risks they pose. The work addresses forecasting in an aggregate sense, focusing on how HCW activity is likely to change with large-scale conditions. The goal is to predict how HCW environments and, in turn, how the associated societal impacts, including loss of life and property damage, may change from year to year, decade to decade, and beyond. The project will train graduate student and post-doctoral scientists who will make future contributions to the burgeoning field of hazardous convective weather and climate.
期刊论文(8)
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科研奖励(0)
会议论文
DOI: 10.1175/jcli-d-20-0607.1
发表时间: 2021
期刊: Journal of Climate
影响因子: 4.9
作者: [Li, Funing, Chavas, Daniel R., Reed, Kevin A., Rosenbloom, Nan, Dawson II, Daniel T.]
通讯作者: Dawson II, Daniel T.
DOI: 10.1175/jas-d-20-0120.1
发表时间: 2021
期刊: Journal of the Atmospheric Sciences
影响因子: 3.1
作者: [Chavas, Daniel R., Dawson II, Daniel T.]
通讯作者: Dawson II, Daniel T.
Biases in CMIP6 Historical U.S. Severe Convective Storm Environments Driven by Biases in Mean‐State Near‐Surface Moist Static Energy
CMIP6 历史上美国强对流风暴环境中的偏差由近地表潮湿静态能量的平均状态偏差驱动
DOI: 10.1029/2022gl098527
发表时间: 2022
期刊: Geophysical Research Letters
影响因子: 5.2
作者: [Chavas, Daniel R., Li, Funing]
通讯作者: Li, Funing
DOI: 10.1175/jas-d-20-0351.1
发表时间: 2021
期刊: Journal of the Atmospheric Sciences
影响因子: 3.1
作者: [Peters, John M., Chavas, Daniel R.]
通讯作者: Chavas, Daniel R.
8
    Collaborative Research: Combining Self-organized Maps and Idealized Storm-scale Simulations to Investigate the Effect of Future Climate Change on Severe Convective Storms
    • 批准号:
      2209052
    • 项目类别:
      Standard Grant
    • 资助金额:
      $45.01万
    • 财政年份:
      2022
    • 负责人:
      Daniel Chavas
    • 依托单位:
    Ice Storm Risk Workshop; West Lafayette, Indiana; October 11-12, 2021
    • 批准号:
      2144406
    • 项目类别:
      Standard Grant
    • 资助金额:
      $0.97万
    • 财政年份:
      2021
    • 负责人:
      Daniel Chavas
    • 依托单位:
    CAREER: Climate Controls on Hurricane Landfall via the Subtropical High
    • 批准号:
      1945113
    • 项目类别:
      Standard Grant
    • 资助金额:
      $71.12万
    • 财政年份:
      2020
    • 负责人:
      Daniel Chavas
    • 依托单位:
    AGS-PRF: Improving Tropical Cyclone Risk Assessment by Incorporating Storm Size Physics
    • 批准号:
      1331362
    • 项目类别:
      Fellowship Award
    • 资助金额:
      $8.6万
    • 财政年份:
      2013
    • 负责人:
      Daniel Chavas
    • 依托单位:
    国内基金
    海外基金
    Research on Quantum Field Theory without a Lagrangian Description
    • 批准号:
      24ZR1403900
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2024
    • 负责人:
      SATOSHI NAWATA
    • 依托单位:
    Cell Research
    Cell Research
    Cell Research (细胞研究)