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首页> 外文期刊>Nonlinear processes in geophysics >A correlation study regarding the AE index and ACE solar wind data for Alfvenic intervals using wavelet decomposition and reconstruction
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A correlation study regarding the AE index and ACE solar wind data for Alfvenic intervals using wavelet decomposition and reconstruction

机译：使用小波分解和重建的ALV维间隔AE指数和ACE太阳能数据的相关研究

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The purpose of this study is to present a wavelet interactive filtering and reconstruction technique and apply this to the solar wind magnetic field components detected at the L1 Lagrange point similar to 0.01AU upstream of the Earth. These filtered interplanetary magnetic field (IMF) data are fed into a model to calculate a time series which we call AE*. This model was adjusted assuming that magnetic reconnection associated with southward-directed IMF B-z is the main mechanism transferring energy into the magnetosphere. The calculated AE* was compared to the observed AE (auroral electrojet) index using cross-correlation analysis. The results show correlations as high as 0.90. Empirical removal of the high-frequency, short-wavelength Alfvenic component in the IMF by wavelet decomposition is shown to dramatically improve the correlation between AE* and the observed AE index. It is envisioned that this AE* can be used as the main input for a model to forecast relativistic electrons in the Earth's outer radiation belts, which are delayed by similar to 1 to 2 days from intense AE events.
机译：本研究的目的是提供小波交互式滤波和重建技术，并将其应用于在类似于地球上游的0.01的L1拉格朗日点检测到的太阳能磁场分量。这些滤波的行星际磁场（IMF）数据被馈送到模型中以计算我们调用AE *的时间序列。假设与向南IMF B-Z相关的磁性重新连接是调整该模型，是将能量转移到磁层中的主要机构。使用互相关分析将计算的AE *与观察到的AE（极光电射精）指数进行比较。结果显示相关性高达0.90。通过小波分解的IMF中的高频率去除高频，短波长度成分，显着提高AE *与观察到的AE指数之间的相关性。设想该AE *可以用作模型的主输入，以预测地球外辐射带中的相对论电子的模型，这延迟了从强烈的AE事件的1至2天后延迟。

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