CEDAR: The Role of Gravity Waves in Coupling Longitudinal Variations in the Troposphere to the Thermosphere and Ionosphere

CEDAR：重力波在对流层与热层和电离层纵向变化耦合中的作用

• 批准号: 1139165
• 负责人: Thomas Immel
• 金额: $ 27.68万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-02-01 至 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1139165&HistoricalAwards=false
• 关键词: CEDAR; Role; Gravity; Waves; Coupling

This is a data analysis and modeling effort to be undertaken as part of the Coupling, Energetics and Dynamics of Atmospheric Regions program. Atmospheric waves are one means by which energy and momentum can be transported between different layers of the atmosphere. Recent results show that the source of non-migrating tidal waves in the atmosphere -- the uneven distribution of deep cell convection zones in the troposphere associated with the land-sea contrast -- also gives rise to a varying source of atmospheric gravity waves. The main goal of this effort is to quantify this source and its potential effects, which is currently missing from models of the upper atmosphere and ionosphere and may force a revision in our understanding of how the apparent tidal signature in the ionosphere is driven by waves in the atmosphere. Global datasets of temperature and wind from satellite observations together with several advanced global atmospheric and ionospheric circulation models will be used to determine the spatial, temporal and spectral characteristics of large-scale gravity waves, their global effects on tidal variation, and the ionospheric impacts. Gravity waves are a significant forcing source on Mesosphere-Lower Thermosphere (MLT) dynamics and their effects strongly impact general circulation and climate models. In addition, numerical weather prediction models, despite their tropospheric focus, have been shown to make better predictions when the upper-atmospheric dynamics are more accurately modeled. The work will be performed mainly by a post-doctoral scholar and a graduate student, both mentored by the principal investigator (PI), and in collaboration with data-analysis and modeling experts at Berkeley and at NCAR.

这是作为大气区域耦合，能量和动态计划的一部分进行的数据分析和建模工作。大气波是可以在大气的不同层之间运输能量和动量的一种手段。最近的结果表明，大气中非迁移潮汐的来源 - 与土地对比相关的对流层中深细胞对流区的不均匀分布 - 也导致了大气重力波的不同来源。这项工作的主要目标是量化该来源及其潜在影响，目前，高层大气和电离层的模型缺失，并可能迫使我们对我们对电离层中明显的潮汐签名的理解进行修订。卫星观测的温度和风数据集以及几种先进的全球大气和电离层循环模型将用于确定大型重力波的空间，时间和光谱特征，它们对潮汐变化的全球影响以及电离层影响。重力波是中层低热球（MLT）动力学上的重要强迫源，其影响强烈影响一般循环和气候模型。此外，尽管有数值的天气预测模型，尽管它们具有对流层的焦点，但在更精确的模型时，已证明可以更好地预测。这项工作将主要由博士后学者和研究生进行，均由首席研究员（PI）指导，并与伯克利和NCAR的数据分析和建模专家合作。