Dynamics of Intraseasonal Extratropical Variability

季节内温带变化的动力学

基本信息

批准号：
0237304
负责人：
Diane Portis
金额：
$ 23.81万
依托单位：
University of Illinois at Urbana-Champaign
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2003
资助国家：
美国
起止时间：
2003-03-01 至 2007-02-28
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0237304&HistoricalAwards=false
关键词：
Dynamics Intraseasonal Extratropical Variability

项目摘要

The project will investigate dynamical mechanisms governing intraseasonal variability in the extratropical winter atmosphere. A leading example of this variability is the North Atlantic Oscillation - a meridional dipole in sea-level pressure (and related fields) in the extratropical Atlantic, which influences, notably, the European surface temperatures and precipitation in winter. The relationship of these regional modes with the annular (or hemispheric scale) modes of variability (e.g., Arctic Oscillation) is unclear, although its implications for extratropical variability and predictability are considerable. Dr. Robinson (U of Illinois) will investigate this relationship, including the role of tropical intraseasonal variability in influencing extratropical predictability, from numerical experiments with idealized dynamical models; these models can resolve the involved nonlinear interactions. These models provide an opportunity for systematic investigation of the fundamental dynamical issues, and Dr. Robinson will conduct a suite of experiments to fully investigate the involved mechanisms and interactions. The project will advance theoretical understanding and modeling of dynamical processes governing wintertime intraseasonal variability in the Northern extratropics, and potentially influence operational strategies for extended range weather forecasting.

该项目将研究控制温带冬季大气季节内变化的动力机制。这种变化的一个主要例子是北大西洋涛动——温带大西洋海平面压力（和相关场）的经向偶极子，它特别影响欧洲表面温度和冬季降水。这些区域模式与环形（或半球尺度）变率模式（例如北极涛动）的关系尚不清楚，尽管其对温带变率和可预测性的影响相当大。罗宾逊博士（伊利诺伊大学）将通过理想化动力学模型的数值实验来研究这种关系，包括热带季节内变化在影响温带可预测性方面的作用；这些模型可以解决所涉及的非线性相互作用。这些模型为系统研究基本动力学问题提供了机会，罗宾逊博士将进行一系列实验来全面研究所涉及的机制和相互作用。该项目将促进对控制北温带冬季季节内变化的动力过程的理论理解和建模，并可能影响大范围天气预报的操作策略。