Microbarom high-frequency data products of the International Monitoring System’s infrasound stations

This dataset consists of data products derived from broadband signal detection lists that have been processed for the certified infrasound stations of the International Monitoring System. More specifically, this dataset covers, among other phenomena, the upper frequency range of microbaroms (0.45-0.65 Hz) and is therefore called the ‘mb_hf’ product. The temporal resolution (time step and window length) is 15 min. For processing the infrasound data, the Progressive Multi-Channel Correlation (PMCC) array processing algorithm with a one-third octave frequency band configuration between 0.01 and 4 Hz has been used. The detected signals from the most dominant directions in terms of number of arrivals within a time window and the product-specific frequency range are summarized at predefined time steps. Along with several detection parameters such as the back azimuth, apparent velocity, or mean frequency, additional quantities for assessing the relative quality of the detection parameters are provided. The dataset is available as a compressed .zip file containing the yearly data products (.nc files, NetCDF format) of all certified stations (since 2003). Further information on the processing and details about the open-access data products can be found in: Hupe et al. (2022), IMS infrasound data products for atmospheric studies and civilian applications, Earth System Science Data, doi:10.5194/essd-14-4201-2022本数据集源自针对国际监测系统（International Monitoring System, IMS）认证次声（infrasound）台站处理得到的宽带信号检测列表所衍生的数据产品。具体而言，本数据集涵盖微气压波（microbaroms）的高频频段（0.45~0.65 Hz）等多种现象，因此被命名为‘mb_hf’数据产品。其时间分辨率（时间步长与窗口长度）为15分钟。在次声数据处理环节，本数据集采用了频段配置范围为0.01~4 Hz的1/3倍频程渐进多通道相关（Progressive Multi-Channel Correlation, PMCC）阵列处理算法。在预定义的时间步长下，本数据集汇总了在对应时间窗口及本产品专属频段内，以到达次数为评判依据的优势观测方向上的检测信号。除反方位角、视速度、平均频率等多项检测参数外，数据集还提供了用于评估检测参数相对质量的附加量化指标。本数据集以压缩.zip文件形式发布，其中包含自2003年以来所有认证台站的年度数据产品（.nc文件，即NetCDF格式）。关于该数据集的处理流程与开放获取数据产品的更多细节，可参阅以下文献：Hupe等人（2022）《用于大气研究与民用场景的国际监测系统次声数据产品》，《地球系统科学数据》，DOI:10.5194/essd-14-4201-2022