> For the complete documentation index, see [llms.txt](https://jonas.gitbook.io/seismo_rain/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://jonas.gitbook.io/seismo_rain/a-brief-note-before-we-start-....md).

# A brief note before we start ...

## How does rainfall generate seismic signals?

Unlike earthquakes, which trigger seismic waves within the Earth's interior, meteorological events such as rainfall contribute subtly to the seismic signal. Raindrops hitting the ground create vibrations, similar to the impact of meteorites (shown below), which then propagate as seismic waves to the seismometer.

<figure><img src="/files/06zByauH79KUq3NhSXat" alt=""><figcaption><p> <strong>Summary of seismic and acoustic signals generated by airbursts in Mars (Stevanović et al., 2017)</strong></p></figcaption></figure>

## Why did I want to undertake this project?&#x20;

1. Merge subsurface geophysics with meteorology for groundbreaking insights
2. Revolutionize meteorology with climate model parameterization for rainfall metrics
3. Provide additional weather information to remote areas lacking rain gauges
4. Decode seismic waveform data by bandpass filtering&#x20;

## A rundown of what we will achieve

At first, the task involves selecting [seismic](/seismo_rain/seismic-data/frequency-of-interest.md) and [rainfall](/seismo_rain/rainfall-data/picking-the-right-rainfall-event-for-our-analysis.md) datasets that intersect spatially, ensuring compatibility for constructive comparison within our designated area of interest.&#x20;

Subsequently, our objective is to validate the feasibility of rainstorm tracking by stacking seismograms from various seismic stations and overlaying them onto observational rainfall data. This process culminates in the ultimate analysis of the correlation between the maximum absolute ground displacement inferred from seismic waves and rainfall intensity.


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