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Collaborative Research: Dynamics of Unsaturated Downdrafts, Cold Pools, and Their Roles in Convective Initiation and Organization

Collaborative Research: Dynamics of Unsaturated Downdrafts, Cold Pools, and Their Roles in Convective Initiation and Organization
合作研究:不饱和下降气流、冷池的动力学及其在对流引发和组织中的作用
批准号:
1649770
负责人:
Pierre Gentine
金额:
$18.97万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-05-01 至 2021-04-30

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中文摘要
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英文摘要
Moist convections play a critical role in giving rise to clouds/rains and in determining the energy balance of the earth and the distribution of water resources. They also play a key role in forcing the circulation patterns, and thus are central to our understanding and prediction of weather and climate. Because these processes occur at spatial scales smaller than that of the grid sizes of global weather and climate models, they need to be related to large-scale flow statistically in numerical models, or represented by parameterizations. The success of parameterizations demands physically based and process-level understanding of the moist convective processes. This project focuses on one important aspect of moist convections, namely cold pools. When rain evaporates into unsaturated air, it cools the air and increases its density, causing it to sink to the surface and spread out horizontally as a density current. These density currents are known as cold pools. They can trigger new storms (which is responsible for the gusty winds and cooler air that one experiences preceding a storm), modify near-surface fluxes, atmospheric stability, and affect the characteristics and development of convective clouds. In this project, high-resolution numerical simulations that explicitly resolve the cold pools and processes that produce them are used along with innovative particle tracking to unravel the many factors that contribute to the birth, evolution, and demise of cold pools, as well as to quantify how cold pools modify the characteristics of moist convections and how to represent these effects statistically in global models of weather and climate.Clouds and convection remain major sources of uncertainty in weather and climate predictions. By improving process-level understanding and representation of a key feature of convective clouds, this research will help reduce such uncertainties. This research will also strengthen collaboration between university scientists and train postdoctoral scientists, and contribute to the development of weather and climate models.
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STC: Center for Learning the Earth with Artificial Intelligence and Physics (LEAP)
  • 批准号:
    2019625
  • 项目类别:
    Cooperative Agreement
  • 资助金额:
    $2500.0万
  • 财政年份:
    2021
  • 负责人:
    Pierre Gentine
  • 依托单位:
Collaborative Research: HDR Elements: Software for a new machine learning based parameterization of moist convection for improved climate and weather prediction using deep learning
  • 批准号:
    1835769
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.74万
  • 财政年份:
    2018
  • 负责人:
    Pierre Gentine
  • 依托单位:
Collaborative Research: Role of Cloud Albedo and Land-Atmosphere Interactions on Continental Tropical Climates
  • 批准号:
    1734156
  • 项目类别:
    Standard Grant
  • 资助金额:
    $42.04万
  • 财政年份:
    2017
  • 负责人:
    Pierre Gentine
  • 依托单位:
CAREER: Departure from Monin-Obukhov Similarity Theory (MOST) using high-resolution turbulence models
  • 批准号:
    1552304
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $43.54万
  • 财政年份:
    2016
  • 负责人:
    Pierre Gentine
  • 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)