Collaborative Research: Linkages in Winter-Time Climate Variability and the Basis for Climate Predictability in the North Atlantic Sector

合作研究：冬季气候变率的联系和北大西洋地区气候可预测性的基础

• 批准号: 0443451
• 负责人: Dara Entekhabi
• 金额: --
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-03-01 至 2010-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0443451&HistoricalAwards=false
• 关键词: Collaborative; Research; Linkages; Winter; Time

This project will pursue the theory that the climate anomaly associated with the North Atlantic and Arctic Oscillations is mostly an artifact of temporal averaging and is the result of the superposition of two distinctive patterns that occur in different winter seasons. These two patterns, referred to as Type A and Type N, evolve as a result of different dynamics involving sub-seasonal climate anomalies across the United States and Europe. The primary objective of the project is to provide a more fundamental understanding of the dynamical framework which may allow for more accurate seasonal predictions with relatively finer spatial and temporal resolution, building upon earlier research by combining analysis of observations with atmospheric general circulation models, supplemented by several simpler modeling schemes. This work is expected to make a significant contribution to the development of the next generation models for seasonal prediction. The project involves unfunded international collaboration with researchers in Canada. One graduate student will be supported by the collaborating investigator at the Massachusetts Institute of Technology.This project is supported under the Climate Variability and Predictability Program (CLIVAR).

该项目将追求一个理论，即与北大西洋和北极振荡相关的气候异常主要是时间平均的伪像，这是在不同冬季发生的两种独特模式叠加的结果。这两种模式，称为A型和N型，由于涉及美国和欧洲的季节性气候异常的不同动态而发展。该项目的主要目的是对动态框架提供更基本的理解，这可以通过将观测值与大气一般循环模型相结合，并通过将观察结果与大气一般循环模型相结合，并补充了几种简单的建模方案，从而使更准确的季节性预测与相对精细的空间和时间分辨率提供了更准确的季节性预测。预计这项工作将为下一代预测的下一代模型做出重大贡献。该项目涉及与加拿大研究人员无资金的国际合作。马萨诸塞州理工学院的合作调查员将为一名研究生提供支持。在气候可变性和可预测性计划（Clivar）下，该项目得到了支持。