Teleconnections: Intraseasonal Dynamics and its Relationship to Interannual and Interdecadal Variability

遥相关：季节内动态及其与年际和年代际变异的关系

基本信息

批准号：
1036858
负责人：
Steven Feldstein
金额：
$ 52.61万
依托单位：
Pennsylvania State Univ University Park
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2011
资助国家：
美国
起止时间：
2011-02-01 至 2015-01-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1036858&HistoricalAwards=false
关键词：
Teleconnections Intraseasonal Dynamics its Relationship

项目摘要

This project studies the dynamics of the recurrent patterns of variability of the large-scale atmospheric cicrulation, including the Pacific/North American Pattern, the North Atlantic Oscillation, and the Northern and Southern Hemisphere Annular Modes. These patterns, sometimes referred to as teleconnection patterns, have a large influence on weather and climate at the earth's surface and thus have a variety of important impacts. The work has three goals: (1) to investigate the basic dynamical processes associated with teleconnection patterns; (2) to to understand the implications of teleconnection patterns on the predictability of atmospheric flow on synoptic to intraseasonal timescales; and 3) to understand the implications of teleconnection patterns for interannual to decadal atmospheric variability. The method of Self Organizing Maps is used to identify the teleconnection patterns, and a combination of statistical techniques and idealized numerical models will be used to understand the underlying dynamics of the patterns.The work has relevance to society because the weather and climate fluctuations associated with teleconnection patterns are important for human activities and the natural world. The results of the work have the potential to improve medium- to long-range forecasting, and preliminary results are already in use at the National Oceanic and Atmospheric Administration's Climate Prediction Center. In addition, the work supports a graduate student, thereby providing support and training to the next generation of scientists.

该项目研究了大气隔离的循环变异性模式的动力学，包括太平洋/北美模式，北大西洋振荡以及北半球和南半球环形模式。这些模式有时称为远程连接模式，对地球表面的天气和气候产生了很大的影响，因此具有多种重要影响。这项工作有三个目标：（1）研究与远程连接模式相关的基本动力学过程；（2）了解远程连接模式对概要到季节时间尺度的大气流量的预测性的含义； 3）了解远程连接模式对年际至际大气变异性的含义。自我组织地图的方法用于识别远程连接模式，并且将使用统计技术和理想化的数值模型的结合来了解模式的基本动力。这项工作与社会有关，因为与远程连接模式相关的天气和气候波动与人类活动和自然界非常重要。这项工作的结果有可能改善中和长期预测，并且国家海洋和大气管理局的气候预测中心已经使用了初步结果。此外，该作品还支持一名研究生，从而为下一代科学家提供支持和培训。