Abstract. This study investigates the use of a vespagram-based approach as a tool for multi-directional comparison between simulated microbarom soundscapes and infrasound data recorded at ground-based array stations. Data recorded at the IS37 station in northern Norway during 2014–2019 have been processed to generate vespagrams (velocity spectral analysis) for five frequency bands between 0.1 and 0.6 Hz. The back-azimuth resolution between vespagrams and a microbarom model is harmonized by smoothing the modelled soundscapes along the back-azimuth axis with a kernel corresponding to the frequency-dependent array resolution. An estimate of similarity between the output of a microbarom radiation and propagation model and infrasound observations is then generated based on the image processing approach of mean-square difference. The analysis revealed that vespagrams can monitor seasonal variations in the microbarom azimuth distribution, amplitude, and frequency, as well as changes during sudden stratospheric warming. The vespagram-based approach is computationally inexpensive, can uncover microbarom source variability, and has potential for near-real-time stratospheric diagnostics and atmospheric model assessment.

中文翻译：

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使用次声记录的微气压辐射和传播模型评估：基于vespagram的方法

摘要。这项研究调查了基于vespagram的方法作为模拟微气压声景与地面阵列电台记录的次声数据之间多方向比较的工具的使用。2014-2019年期间在挪威北部IS37站记录的数据已经过处理，生成了0.1至0.6 Hz之间五个频段的vespagram（速度谱分析）。通过使用与频率相关的阵列分辨率对应的内核对沿后方位轴的建模音景进行平滑处理，可以使vespagram和微气压计模型之间的后方位分辨率协调一致。然后基于均方差的图像处理方法，生成微气压辐射和传播模型的输出与次声观测之间的相似性估计。分析表明，vespagrams可以监视微气压区方位分布，幅度和频率的季节性变化，以及平流层突然变暖期间的变化。基于vespagram的方法在计算上不昂贵，可以发现微气压源的可变性，并且具有近乎实时的平流层诊断和大气模型评估的潜力。