Understanding the Contributions from Thunderstorms and Electrified Shower Clouds to the Global Electric Circuit

了解雷暴和带电阵雨云对全球电路的贡献

基本信息

  • 批准号:
    1519006
  • 负责人:
  • 金额:
    $ 35.95万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-09-01 至 2021-08-31
  • 项目状态:
    已结题

项目摘要

This study seeks to improve our knowledge of the role of cloud electrification in the global electric circuit (GEC). For decades we have known that lightning-producing thunderstorms add an upward directed current, known as the Wilson current. The GEC also consists of a downward, fair weather, current that originates from the electric potential difference between the earth's surface and the upper atmosphere. Though these connections are well understood, no known study to date has quantified these properties using observations. Improvements in our understanding of these processes will lead to quantitative models of the GEC, which will in turn benefit society through an improved knowledge of the role of the GEC on weather and climate. This study provides mentorship experiences and training and supports educational diversity through the inclusion of underrepresented groups; especially Hispanic students.This study will focus on existing cloud electrification data from ground-based radar, airborne and satellite remote sensing platforms. This study will create a global climatology of Wilson current to describe the contribution to the GEC from thunderstorms and electrified shower clouds. This research will also advance our understanding of the relationship between the Wilson current emanating from electrified cloud tops and their convective intensity. Knowledge gained from this research will serve as the quantitative basis for answering larger questions of the global scale, current generators and individual life cycles of electrified cloud systems.
这项研究旨在提高我们对云电气化在全球电路(GEC)中的作用的认识。 几十年来,我们已经知道,产生闪电的雷暴会增加一个向上的电流,称为威尔逊电流。 GEC还包括一个向下的,晴朗的天气,电流,起源于地球表面和高层大气之间的电势差。 虽然这些联系是很好的理解,没有已知的研究,迄今已量化这些属性使用观察。 我们对这些过程的理解的提高将导致GEC的定量模型,这反过来又将通过提高对GEC对天气和气候作用的认识而造福于社会。 这项研究提供了指导经验和培训,并通过纳入代表性不足的群体,特别是西班牙裔学生,支持教育的多样性。这项研究将侧重于地面雷达,机载和卫星遥感平台现有的云电气化数据。 这项研究将创建一个威尔逊电流的全球气候学来描述雷暴和带电阵雨云对GEC的贡献。 这项研究也将促进我们对带电云顶发出的威尔逊电流与其对流强度之间关系的理解。 从这项研究中获得的知识将作为回答全球规模、电流发电机和电气化云系统的个体生命周期等更大问题的定量基础。

项目成果

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Chuntao Liu其他文献

Efficacy and Safety of Prostaglandin D2 Receptor 2 Antagonism with Fevipiprant for Patients with Asthma: a Systematic Review and Meta‑analysis of Randomized Controlled Trials
Fevipiprant 拮抗前列腺素 D2 受体 2 对哮喘患者的疗效和安全性:随机对照试验的系统评价和荟萃分析
  • DOI:
    10.1007/s11882-021-01017-8
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    5.5
  • 作者:
    Dan Yang;Xinning Guo;Ting Liu;Yina Li;Zhuman Du;Chuntao Liu
  • 通讯作者:
    Chuntao Liu
Diurnal Cycle of Tropical Deep Convection and Anvil Clouds: Global Distribution Using 6 years of TRMM radar and IR data
热带深对流和砧云的日循环:使用 6 年 TRMM 雷达和红外数据的全球分布
  • DOI:
  • 发表时间:
    2006
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Chuntao Liu;E. Zipser
  • 通讯作者:
    E. Zipser
Retrieving global Wilson currents from electrified clouds using satellite passive microwave observations
使用卫星无源微波观测从带电云中检索全球威尔逊电流
Evolution of Precipitation Structure During the November DYNAMO MJO Event: 3 Cloud-Resolving Model Inter-comparison and Cross-Validation using Radar
11 月 DYNAMO MJO 事件期间降水结构的演变:使用雷达进行 3 个云解析模型相互比较和交叉验证
  • DOI:
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Xiaowen Li;M. Janiga;Shuguang Wang;W. Tao;A. Rowe;Weixin Xu;Chuntao Liu;T. Matsui
  • 通讯作者:
    T. Matsui
A Bayesian‐Like Approach to Describe the Regional Variation of High‐Flash Rate Thunderstorms From Thermodynamic and Kinematic Environment Variables
从热力学和运动学环境变量描述高闪率雷暴区域变化的类贝叶斯方法

Chuntao Liu的其他文献

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{{ truncateString('Chuntao Liu', 18)}}的其他基金

Collaborative Research: Quantifying the Global Electric Circuit by Data Mining of Electric Field and Radar Observations from Ground Based, Airborne and Satellite Platforms
合作研究:通过地面、机载和卫星平台的电场和雷达观测数据挖掘来量化全球电​​路
  • 批准号:
    2219639
  • 财政年份:
    2022
  • 资助金额:
    $ 35.95万
  • 项目类别:
    Standard Grant
Collaborative Research: Improving the representation of the Quasi-biennial Oscillation and its surface impacts in NCAR climate models
合作研究:改善 NCAR 气候模型中准两年期振荡及其地表影响的表征
  • 批准号:
    2109996
  • 财政年份:
    2021
  • 资助金额:
    $ 35.95万
  • 项目类别:
    Standard Grant

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