Meteorological Islands: How the Atmosphere Interacts with Large Individual Patches of Heterogeneity

气象岛屿：大气如何与大的异质性个体斑块相互作用

• 批准号: 2128345
• 负责人: Elie Bou-Zeid
• 金额: $ 55.74万
• 依托单位: Princeton University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-15 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2128345&HistoricalAwards=false
• 关键词: Meteorological; Islands; How; Atmosphere; Interacts

Cities, lakes, small islands, and wind farms are various manifestations of a common pattern of land surface variability of significant relevance to humans: they tend to form a large, isolated patch with very distinct features (roughness, temperature, wetness) from the surroundings. This surface contrast perturbs the atmosphere at multiple scales ranging from 1 to 100 km, and previous research has established that these perturbations impact cloud formation and rainfall, extreme heat and pollution, and wind flow patterns, among others. While these various surface features have been examined individually before, their similarities have not yet been consolidated to develop a broad understanding of this class of heterogeneous surfaces, hindering the formulation of theoretical frameworks that are needed for better environmental prediction. This project will investigate this type of “Meteorological Islands” in all its manifestations; it will result in improved weather forecasting and climate projection models in the vicinity of these important areas; and will guide land use planning and policy aiming to avoid human perturbations to the land surface that can result in adverse impacts on the environment, ecosystems services, and society more broadly.The project will use a state-of-the-science turbulence simulation approach (large eddy simulation) to capture the energetic three-dimensional secondary circulations that these patches generate and through which they perturb atmospheric dynamics. The first goal is to use these simulation data for dimensional reduction: the overarching project hypothesis is that this class of heterogeneity is primarily modulated by four non-dimensional parameters that are sufficient to capture all its various manifestations. The second goal is to understand how the contrast in roughness, temperature, and wetness interact to impact the atmosphere in the vicinity of these patches. Finally, these analyses will be synthesized into a coherent theoretical framework that will allow better parametrization of the unresolved impact of such patches on the atmosphere in weather and climate models.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

城市、湖泊、小岛屿和风电场是与人类密切相关的陆地表面变化的常见模式的各种表现：它们往往形成一个大的、孤立的斑块，具有与周围环境截然不同的特征（粗糙度、温度、湿度）。这种表面对比度会在 1 到 100 公里的多个尺度上扰动大气，之前的研究已经证实这些扰动会影响云的形成和降雨、极端高温和污染以及风流模式等。虽然这些不同的表面特征之前已经被单独研究过，但它们的相似性尚未得到巩固，以形成对此类异质表面的广泛理解，从而阻碍了更好的环境预测所需的理论框架的制定。该项目将调查此类“气象岛”的所有表现形式；它将改进这些重要地区附近的天气预报和气候预测模型；并将指导土地利用规划和政策，旨在避免人类对地表的干扰，从而对环境、生态系统服务和更广泛的社会造成不利影响。该项目将使用最先进的湍流模拟方法（大涡模拟）来捕获这些斑块产生的充满活力的三维二次环流，并通过这些环流扰乱大气动力学。第一个目标是使用这些模拟数据进行降维：总体项目假设是此类异质性主要由四个无量纲参数调节，这些参数足以捕获其所有各种表现形式。第二个目标是了解粗糙度、温度和湿度的对比如何相互作用，从而影响这些斑块附近的大气。最后，这些分析将被综合成一个连贯的理论框架，该框架将允许在天气和气候模型中更好地参数化这些斑块对大气的未解决的影响。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

The influence of synoptic wind on land–sea breezes

天气风对陆海风的影响

• DOI: 10.1002/qj.4552
• 发表时间: 2023
• 期刊: Quarterly Journal of the Royal Meteorological Society
• 影响因子: 8.9
• 作者: Allouche, Mohammad;Bou‐Zeid, Elie;Iipponen, Juho
• 通讯作者: Iipponen, Juho

The Atmospheric Boundary Layer Above the Marginal Ice Zone: Scaling, Surface Fluxes, and Secondary Circulations

边缘冰区上方的大气边界层：结垢、表面通量和二次环流

• DOI: 10.1007/s10546-023-00825-x
• 发表时间: 2023
• 期刊: Boundary-Layer Meteorology
• 影响因子: 4.3
• 作者: Fogarty, Joseph;Bou-Zeid, Elie
• 通讯作者: Bou-Zeid, Elie

Relaxed Eddy Accumulation Outperforms Monin‐Obukhov Flux Models Under Non‐Ideal Conditions

• DOI: 10.1029/2023gl103099
• 发表时间: 2023-04
• 期刊: Geophysical Research Letters
• 影响因子: 5.2
• 作者: E. Zahn;E. Bou‐Zeid;N. Dias