On December 5, 2013, a mysterious series of booms startled Tamsui residents in Taiwan. Using seismic and infrasound data, we uncovered the event’s origin—a meteor shockwave. This rare phenomenon allowed us to reconstruct the meteor’s trajectory and estimate its energy, highlighting the value of geophysical monitoring in studying atmospheric events.
Discover how Genetic Algorithms can be applied to solve the earthquake location problem in seismology. This post walks through generating synthetic seismic data, implementing a GA to estimate earthquake locations, and visualizing results. While effective, the approach has limitations, including simplified assumptions and constraints.
Explore how cloud computing is revolutionizing geophysical and seismological research. From scalable data processing to real-time earthquake monitoring, discover how this technology is unlocking new possibilities for scientists around the world
In our study, we explored the common-mode error (CME) in GPS displacement fields across Taiwan, uncovering its significant correlation with atmospheric mass loading (AML). By analyzing 10 years of GPS data from 47 stations, we found that up to 90% of CME variations in the vertical component can be attributed to AML. These findings enhance our understanding of systematic errors in GPS data and offer pathways to improving the precision of geophysical measurements.
In this article, we will learn how to visualize the great circle paths that traverse a designated region of interest using PyGMT. Understanding these paths is crucial for rigorous seismic tomography investigations, as they can provide insights into the subsurface structure below the select region of interest.
Read the earthquake data from a data file and overlay on a three-dimensional topographic map using PyGMT
Read the earthquake data from a csv file and overlay on a topographic map using PyGMT.
Empirical Orthogonal Functions analysis decomposes the continuous space-time field into a set of orthogonal spatial patterns along with a set of associated uncorrelated time series or principal components. Introductory concepts of EOF analysis
Explore the application of wavelet analysis on real-world geophysical datasets, like ENSO sea surface temperature and Indian monsoon rainfall. This post provides a comparison to Fourier analysis and includes Python code for easy replication.
An introduction to the basics of genetic algorithm along with a simple numerical example and solution of an earthquake location problem
