The Asian-Australian Monsoon Variability and Predictability Studied Using Physical Decomposition

本计画将利用循环平稳经验正交函数（CsEOFs）分析亚澳季风的变化。这项技术由私家侦探开创。近年来，提供了一种分析时空变化的替代方法。该项目将包括发展统计预报，分析大气和海洋-大气耦合模拟的变化模式。预计这项研究将提高亚洲季风变化的可预测性，并通过提供更长的准备干旱和洪水的时间来提供重大的社会效益。对农业的影响可能非常大。三名研究生将获得该奖项的支持。

This project will employ cyclostationary empirical orthogonal functions (CsEOFs) to analyze variability of the Asian-Australian monsoon. This technique, pioneered by the P.I. in recent years, provides an alternative method of analyzing space-time variability. The project is to include the development of statistical forecasts, and the analysis of modes of variability in atmospheric and coupled ocean-atmosphere simulations. This research is expected to lead to an improved predictability of Asian monsoon variability, and provide significant societal benefit by offering greater lead times to prepare for drought and floods. The impact on agriculture could be highly significant. Three graduate students will be supported by this award.