Biennial Variability and the Spring Persistence Barrier in ENSO

ENSO 的两年变率和春季持续障碍

• 批准号: 9818650
• 负责人: Allan Clarke
• 金额: $ 60.5万
• 依托单位: Florida State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-03-01 至 2004-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9818650&HistoricalAwards=false
• 关键词: Biennial; Variability; Spring; Persistence; Barrier

Clarke9818650Further investigations of the El Nino Southern Oscillation (ENSO) phenomenonwill be conducted. A statistical decomposition into a fixed quasi-biennial modeand a low-frequency mode is proposed to study the observed biennial variabilityof ENSO and to predict key ENSO variables. The biennial decomposition willalso be used to try to improve predictions of rainfall over the western equatorialPacific and the Indian monsoon rainfall. Second, a intermediate coupled ocean-atmosphere model will be used to understand how biennial variability and thespring persistence barrier are incorporated in ENSO.

克拉克9818650将对厄尔尼诺南方涛动（ENSO）现象进行进一步调查。为了研究ENSO观测到的两年期变率和预测ENSO关键变量，提出了一种准两年期固定模态和低频模态的统计分解方法。两年一次的分解也将被用来试图改善西赤道太平洋和印度季风降雨的降雨预测。其次，将使用一个中间耦合的海洋-大气模式来了解两年期变率和春季持续性障碍是如何纳入ENSO的。