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An Operational Tracking Method for the MJO Using Extended Empirical Orthogonal Functions

机译:扩展经验正交函数MJO的操作跟踪方法

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摘要

Several methods are available to track the intraseasonal oscillation, namely the Madden-Julian oscillation (MJO) and monsoon intraseasonal oscillation (MISO). However, no methods to track both the modes in a uniform framework for real-time application exist. A new method to track the smooth propagation of the MJO and MISO is proposed to use it for real-time monitoring. The new approach is based on extended empirical orthogonal function (EEOF) analysis of the combined field of meridionally averaged zonal wind at 850hPa (U850), zonal wind at 200hPa and the velocity potential at 200hPa. The EEOF method does not merely capture the MJO but also smooths (i.e., filters out undesired modes) the temporal propagation in the phase space defined by first two leading principal components (PCs) of the EEOF. Using these leading PCs, we additionally introduce a seasonally varying regression coefficient to filter out the space time structure of the MJO in various fields (rainfall/outgoing long-wave radiation, etc.). These reconstructed fields are then used to link the bidirectional phase movement (i.e., northward propagating MISO and eastward propagating MJO) during boreal summer. The life cycle of the MJO and MISO could be captured with equal fidelity with this current method. MJO filtering could be carried out for any space-time data, not limited to the variables/fields used in EEOF analysis. Examples of the TOGA-COARE and DYNAMO period MJO as well as a few strong MISO events are discussed to check the robustness of the newly proposed method.
机译:有几种方法可以跟踪陷入困境的振荡,即Madden-Julian振荡(MJO)和季风陷入困境(MISO)。但是,不存在跟踪统一框架中的模式以进行实时应用的方法。提出了一种跟踪MJO和MISO平稳传播的新方法,用于使用它进行实时监控。新方法是基于850HPA(U850),200HPa处的Zonal Wind的单位平均区间风的延长经验正交函数(EEOF)分析,在200HPa,速度潜力。 EEOF方法不仅仅捕获MJO,还不平滑(即,过滤出不期望的模式)由EEOF的前两个主要主组件(PCS)定义的相位空间中的时间传播。使用这些领先的PC,我们还引入了季节性变化的回归系数,以在各个领域(降雨/传出的长波辐射等)过滤出MJO的空间时间结构。然后,这些重建的字段将用于在北方夏季链接双向相位运动(即,向北传播MISO和东方传播MJO)。 MJO和MISO的生命周期可以通过这种当前方法进行平等的保真度捕获。可以对任何时空数据进行MJO过滤,不限于EEOF分析中使用的变量/字段。讨论了Toga-Coare和Dynamo时期MJO以及一些强味噌事件的示例,以检查新提出的方法的鲁棒性。

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  • 来源
    《Pure and Applied Geophysics》 |2019年第6期|共21页
  • 作者单位

    Indian Inst Trop Meteorol Dr Homi Bhabha Rd Pune 411008 Maharashtra India;

    Indian Inst Trop Meteorol Dr Homi Bhabha Rd Pune 411008 Maharashtra India;

    Indian Inst Trop Meteorol Dr Homi Bhabha Rd Pune 411008 Maharashtra India;

    Indian Inst Trop Meteorol Dr Homi Bhabha Rd Pune 411008 Maharashtra India;

    Indian Inst Trop Meteorol Dr Homi Bhabha Rd Pune 411008 Maharashtra India;

    Indian Inst Trop Meteorol Dr Homi Bhabha Rd Pune 411008 Maharashtra India;

    Indian Inst Trop Meteorol Dr Homi Bhabha Rd Pune 411008 Maharashtra India;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地球物理学;
  • 关键词

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