Mechanism of the Madden-Julian Oscillation (MJO) Viewed from Scale Interactions in the Frequency Domain

该项目将通过对观测结果的诊断分析以及大气和大气-海洋耦合系统的数值模拟，研究热带地区马登-朱利安振荡的演变。MJO是季节内变率的一个重要组成部分，在调节热带和热带外太平洋/北美地区的环流和降水变率方面起着重要作用。MJO也影响亚洲-澳大利亚夏季风。由于夹在两个显着的波动时间尺度之间-较短的时间尺度天气和较长的时间尺度季节到年际变化-MJO直到最近才得到所需的研究关注。Krishnamurti博士（FSU）将研究频率内相互作用在MJO发生和进化中的作用。大气和大气-海洋系统的高分辨率数值模式将被整合，以了解在MJO变化的背景下，水分，感热和动量的边界层通量的时空结构。该项目是由PI的假设，MJO时间尺度流分量放大的频率相互作用与一对天气时间尺度（2至6天）的流通功能，特别是在行星边界层。亚洲季风预报的社会经济影响影响着地球上20多亿人。季内波的通过似乎对季风的干湿期有重大影响。这项工作有可能导致真实的时间预测模型的MJO，可以提供重要的指导，持续的雨季和旱季。

The project will investigate the evolution of the Madden-Julian Oscillation (MJO) in the tropics from diagnostic analysis of observations and numerical modeling of the atmosphere and the coupled atmosphere-ocean system. MJO is a key component of intra-seasonal variability, and plays a significant role in modulating the circulation and precipitation variability in the tropics and the extratropical Pacific/North American region. MJO also influences the Asian-Australian summer monsoons. Because of being sandwiched between two notable fluctuation time-scales--the shorter time-scale weather and the longer time-scale seasonal-to-interannual variability--MJO has not received the needed research attention up until recently. Dr. Krishnamurti (FSU) will investigate the role of intra-frequency interactions in MJO genesis and evolution. High-resolution numerical models of the atmosphere and the atmosphere-ocean system will be integrated to understand the spatio-temporal structure of the boundary layer fluxes of moisture, sensible heat, and momentum, in context of MJO variability. The project is driven by the PI's hypothesis that MJO time-scale flow components amplify from frequency interactions with a pair of synoptic time-scale (2-to-6 days) circulation features, particularly in the planetary boundary layer. The socio-economic impacts of Asian monsoon forecasts are felt by more than two billion people on the earth. The passage of intra-seasonal waves seems to have substantial impact on the wet and dry spells of the monsoon. This work has the potential to lead to real time prediction models of the MJO that can provide important guidance for sustained wet and dry spells of the monsoon.