Convective Cloud Dynamics and Turbulence Interactions with Microphysical Processes and the Atmospheric Environment (CLOUDY TIME)

对流云动力学和湍流与微物理过程和大气环境的相互作用（云时）

• 批准号: NE/X018547/1
• 负责人: Thorwald Stein
• 金额: $ 116.31万
• 依托单位: University of Reading
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FX018547%2F1
• 关键词: Convective; Cloud; Dynamics; Turbulence; Interactions

This project, studying Convective Cloud Dynamics and Turbulence Interactions with Microphysical Processes and the Atmospheric Environment (CLOUDY TIME) will: (i) improve understanding of microphysics-turbulence interactions using a hierarchy of sub-km models and large-eddy simulations; (ii) evaluate the 3D representation of moist convective turbulence in sub-km and km-scale models, testing turbulence parametrization schemes including coupling with microphysics; (iii) improve understanding of model uncertainty due to representation of vertical profiles; and (iv) evaluate mesoscale processes that lead to cloud organisation to inform scale-aware convection parametrization schemes. The improved understanding and evaluation in CLOUDY TIME will be informed by novel measurements and observations planned for the UK summertime convection field campaign WesCon, which aims to observe many of the relevant turbulent processes, and their relation to the environment, for the first time.Convection leads to hazardous weather and is fundamental to the global atmospheric circulation. Modelling of convective storms is challenging due to the interaction of many processes which interact over a wide range of scales, from turbulence and microphysics, including precipitation formation, to the release of convective instability and evaporatively driven downdraughts and cold pools. The next generation of global weather and climate models will be run at km-scale grid lengths and will explicitly represent convective storms, but these models are highly sensitive to the sub-grid turbulence parametrization, even when run at finer resolutions with grid lengths less than 1 km. This sensitivity leads to biases in storm number, intensity and lifetime, and hence to errors in severe weather warnings and in the large-scale circulation. Conversely, errors on the large scale affect the timing and nature of convection, creating a complex web of interactions across scales. CLOUDY TIME aims to disentangle the controls on convection from the microscale, governed by parametrization, to the synoptic scale, governed by data assimilation and downscaling.

该项目研究对流云动态和与微物理过程和大气环境（云时间）的湍流相互作用将：（i）通过使用子KM模型和大涡模拟的层次结构来提高对微物理扰动相互作用的理解； （ii）评估亚km和km尺度模型中湿对流湍流的3D表示，测试湍流参数化方案，包括与微物理学耦合； （iii）由于表示垂直剖面的表示，提高对模型不确定性的理解； （iv）评估导致云组织为对流参数化方案提供信息的中尺度过程。在英国为对流对流田间活动WESCON计划的新型测量和观察结果WESCON旨在观察许多相关的湍流过程及其与环境的关系，这首先会导致危险的天气，并且对全球大气循环的基础，这将为英国夏季对流现场竞选活动WESCON提供的新颖测量和观察结果提供帮助。由于许多过程相互作用，这些过程相互作用在各种尺度上相互作用，从湍流和微物理学（包括降水形成）到对流不稳定和蒸发驱动的降落和冷水池的释放，因此对流风暴的建模是具有挑战性的。下一代的全球天气和气候模型将以KM规模的网格长度运行，并将明确表示对流风暴，但是即使以较小的分辨率运行，网格长度小于1 km，这些模型即使在更精细的分辨率下运行，这些模型也对亚电网湍流参数化高度敏感。这种敏感性导致风暴数量，强度和终生的偏见，从而导致严重天气警告和大规模循环中的错误。相反，大规模上的错误会影响对流的时机和性质，从而在跨量表上创建了复杂的互动网络。多云的时间旨在将对流的控制从显微镜中解散，并由参数化，直至概要量表，受数据同化和降尺度的控制。