Dataset of Geomagnetic Ultra-Low Frequency Waves Based on Meridian Project Observation Data
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摘要: 子午工程作为我国重要的空间环境监测基础设施,在空间物理研究中意义重大,尤其为超低频(ULF)波观测提供了关键支撑。本研究基于2011—2021年子午工程多站点磁通门磁力仪采集的地磁场水平分量(H)与磁偏角分量(D)秒采样数据,经数据清洗、降噪预处理后,结合时频分析(Morlet小波变换)与统计方法,构建了高质量、长时序的地磁超低频波数据集。数据集覆盖高、中、低纬5个台站,包含Pc3-Pc5 规则脉动事件标注及原始序列,以JSON格式存储,支持主流科研软件读取。该数据集填补区域观测空白,为磁层波动、空间天气建模等研究提供基础数据,助力提升我国空间环境监测能力,可用于ULF波自动识别及耦合机制研究。Abstract: The Meridian Project, as an important space environment monitoring infrastructure in China, is of great significance in space physics research, especially providing key support for the observation of Ultra-Low-Frequency (ULF) waves. Based on the second-sampled data of the horizontal component (H) and declination component (D) of the geomagnetic field collected by multi-station fluxgate magnetometers of the Meridian Project from 2011 to 2021, this paper constructs a high-quality and long-time-series dataset of geomagnetic ULF waves through data cleaning, noise reduction preprocessing, and combined with time-frequency analysis (Morlet wavelet transform) and statistical methods. The dataset covers 5 stations at high, middle and low latitudes, includes event annotations and original sequences of Pc3-Pc5 regular pulsations, and is stored in JSON format, supporting reading by mainstream scientific research software. This dataset fills the gap in regional ULF wave observations, provides basic data for research such as magnetospheric fluctuations and space weather modeling, helps improve China's space environment monitoring capabilities, and can be used for automatic ULF wave identification and coupling mechanism research.
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