Sánchez Claudia, Gheri Duccio, Casanova Edgardo, Zuccarello Luciano, De Angelis Silvio, Marchetti Emanuele
Dipartimento di Fisica e Astronomia Augusto Righi, Alma Mater Studiorum, Università di Bologna, Bologna, Italy.
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Pisa, Italy.
Sci Data. 2025 Aug 27;12(1):1499. doi: 10.1038/s41597-025-05778-z.
Calving is a critical process contributing to ice mass loss in tidewater and lake-terminating glaciers, with significant implications for freshwater input, glacier dynamics, and climate change. Infrasound emissions generated by calving events represent a powerful tool for monitoring, quantifying, and understanding the mechanisms that drive glacier retreat. In this study, we present the first acoustic dataset collected over a six-day period during the austral summer at Grey Glacier, located in Torres del Paine National Park, Chile. We provide a detailed description of the instrumentation setup, data acquisition procedures, and signal processing methodologies. By applying high-sensitivity infrasound array processing techniques, we demonstrate that coherent signals generated by calving events can be reliably extracted from the acoustic data, despite environmental conditions, such as strong winds that affect infrasound propagation. This dataset represents a valuable resource for advancing research on cryosphere dynamics and offers practical applications for the glaciological and geophysical communities.
崩解是导致潮水冰川和湖泊末端冰川冰量损失的关键过程，对淡水输入、冰川动力学和气候变化具有重大影响。崩解事件产生的次声排放是监测、量化和理解驱动冰川退缩机制的有力工具。在本研究中，我们展示了在智利托雷斯德尔佩恩国家公园的格雷冰川，于南半球夏季的六天时间内收集的首个声学数据集。我们详细描述了仪器设置、数据采集程序和信号处理方法。通过应用高灵敏度次声阵列处理技术，我们证明，尽管存在强风等影响次声传播的环境条件，但仍可从声学数据中可靠地提取崩解事件产生的相干信号。该数据集是推进冰冻圈动力学研究的宝贵资源，为冰川学和地球物理学界提供了实际应用。
