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Collaborative Research: The Nature and Predictability of The Madden and Julian Oscillation in the Coupled Ocean- Atmosphere System

Collaborative Research: The Nature and Predictability of The Madden and Julian Oscillation in the Coupled Ocean- Atmosphere System
合作研究:海洋-大气耦合系统中马登和朱利安振荡的性质和可预测性
批准号:
9712855
负责人:
Charles Jones
金额:
$10.56万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1997
资助国家:
美国
项目状态:
已结题
起止时间:
1997-09-01 至 2001-08-31

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英文摘要
9712855 Jones This grant represents one of the two awards that provide support for a collaborative project between Dr. Charles Jones of UC - Santa Barbara and Dr. Duane Waliser at SUNY - Stony Brook (under ATM-9712483). The principal investigators seek to improve our understanding of, and ultimately our capability to forecast, a tropical intraseasonal phenomenon known as the Madden-Julian Oscillation (MJO). The Madden-Julian Oscillation is one of the most important modes of tropical intraseasonal variability that may have important influences on medium- to extended-range weather forecasting in the extratropics, the Asian-Australian monsoon activity, and even the variability of the equatorial Pacific Ocean thermocline structure via its close association with westerly wind bursts. A growing body of evidence, including recent modeling results obtained by the principal investigators, suggests that air-sea interaction processes, particularly the influence of sea-surface temperature (SST) variations on surface fluxes, may be important in the maintenance of the MJO. The principal investigators will continue their investigation by (1) further exploring the role of SST and surface processes in determining the strength of and maintaining the MJO using coupled ocean-atmosphere models and (2) assessing the impact of the representation/forecast of the MJO on the overall extended range forecast skill in an operational medium-range weather forecast model. The research will involve the use of diagnostic and statistical analyses as well as numerical simulations. The PIs will employ several different models in their study. This research has important implications for improving dynamical extended range forecasting at both intraseasonal and seasonal time scales. Therefore, both the Climate Dynamics and Large-scale Meteorology Programs will share in the support of this collaborative project.
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