Understanding the Physical Basis of ENSO, ENSO Predictability and their Relationship to Intraseasonal Variability Using a Hierarchy of Coupled Atmosphere-Ocean Models

使用大气-海洋耦合模型层次结构了解 ENSO 的物理基础、ENSO 可预测性及其与季节内变化的关系

• 批准号: 9809790
• 负责人: Andrew Moore
• 金额: $ 35.57万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-08-15 至 2003-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9809790&HistoricalAwards=false
• 关键词: Understanding; Physical; Basis; ENSO; Predictability

Abstract ATM-9809790 Moore, Andrew M. University of Colorado Title: Understanding the Physical Basis of ENSO, ENSO Predictability, and their Relationship to Intraseasonal Variability, Using a Hierarchy of Coupled Atmosphere-Ocean Models This research has two objectives (i) to examine the potential impact of intraseasonal variability on the ENSO cycle (ii) to develop stochastic-dynamic forecast methods for ENSO. Five different models (4 intermediate, 1 hybrid coupled) will be used to study the physical factors that strongly influence the non-normal nature of the equatorial Pacific coupled ocean-atmosphere system, and thus its predictability. The proposed work is important since it will shed insights into various aspects of the ENSO phenomenon.

摘要 ATM-9809790 Moore，安德鲁 M. 科罗拉多大学 标题：使用大气-海洋耦合模型层次结构了解 ENSO 的物理基础、ENSO 可预测性及其与季节内变率的关系 这项研究有两个目标 (i) 检查季节内变率对 ENSO 循环的潜在影响 (ii) 开发 ENSO 的随机动态预报方法。将使用五个不同的模型（4个中间模型，1个混合耦合模型）来研究强烈影响赤道太平洋耦合海洋-大气系统的非正常性质及其可预测性的物理因素。拟议的工作很重要，因为它将深入了解 ENSO 现象的各个方面。