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: Columbia University
• 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
• 起止时间: 2017-05-01 至 2021-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1649770&HistoricalAwards=false
• 关键词: Collaborative; Research; Dynamics; Unsaturated; Downdrafts

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.

湿对流在产生云/雨和确定地球的能量平衡和水资源的分布方面起着关键作用。它们在强迫环流模式方面也起着关键作用，因此对我们理解和预测天气和气候至关重要。由于这些过程发生在比全球天气气候模式网格尺寸更小的空间尺度上，它们需要在数值模式中与大尺度流统计相关，或者用参数化表示。参数化的成功需要基于物理和过程水平的湿对流过程的理解。这个项目的重点是湿对流的一个重要方面，即冷池。当雨水蒸发成不饱和的空气时，它会冷却空气并增加其密度，使其下沉到表面并作为密度流水平扩散。这些密度流被称为冷池。它们可以引发新的风暴（这是造成风暴前阵风和较冷空气的原因），改变近地表通量，大气稳定性，并影响对流云的特征和发展。 在这个项目中，高分辨率的数值模拟，明确解决冷池和产生它们的过程被使用沿着创新的粒子跟踪，以解开许多因素，有助于冷池的诞生，演变和消亡，以及量化冷池如何改变湿对流的特征，以及如何在全球天气和气候模式中统计地表示这些影响。云和对流仍然是天气和气候预测不确定性的主要来源。通过改进对流云关键特征的过程级理解和表示，这项研究将有助于减少这种不确定性。这项研究还将加强大学科学家之间的合作，培养博士后科学家，并为天气和气候模型的发展做出贡献。