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Updated: Aug 12, 2025
07:58
Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt
Published on: August 7, 2017
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Monitoring storm evolution using a high-density seismic network
Scientific Reports
|February 1, 2023
Summary
Seismic network data reveals rainfall patterns with high spatial resolution. Seismic noise amplitude above 40 Hz serves as a rainfall proxy, complementing radar and rain gauge data.
Area of Science:
- Geophysics
- Meteorology
- Environmental Science
Background:
- Dense seismic networks can capture subtle ground vibrations.
- Understanding rainfall's seismic signature is crucial for environmental monitoring.
- Existing methods for rainfall measurement have limitations in certain topographies.
Purpose of the Study:
- To investigate the use of seismic data as a proxy for rainfall.
- To determine the spatial and temporal evolution of rainfall using seismic noise.
- To assess the added value of seismic data compared to traditional meteorological tools.
Main Methods:
- Deployment of a dense seismic network in the Cerdanya basin.
- Analysis of seismic data frequencies above 40 Hz to identify rainfall noise.
- Comparison of seismic data with high-resolution disdrometer, radar, and rain gauge data.
Main Results:
- Seismic noise amplitude above 40 Hz strongly correlates with rainfall intensity.
- Seismic data provides high spatial resolution (1.5 km interstation distance) of rainfall evolution.
- Seismic data complements radar data, especially in areas with complex topography.
- Thunderstorms can be detected via seismic recording of thunder's sonic waves.
Conclusions:
- Seismic data offers a valuable, high-resolution tool for monitoring ground-level rainfall.
- This method enhances our understanding of precipitation dynamics, particularly in challenging terrains.
- Seismic data can also aid in studying atmospheric variations during thunderstorms.
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