Big data seismology
The discipline of seismology is based on observations of ground motion that are inherently
undersampled in space and time. Our basic understanding of earthquake processes and our …
undersampled in space and time. Our basic understanding of earthquake processes and our …
Machine learning and earthquake forecasting—next steps
A new generation of earthquake catalogs developed through supervised machine-learning
illuminates earthquake activity with unprecedented detail. Application of unsupervised …
illuminates earthquake activity with unprecedented detail. Application of unsupervised …
Machine‐learning‐based high‐resolution earthquake catalog reveals how complex fault structures were activated during the 2016–2017 central Italy sequence
The 2016–2017 central Italy seismic sequence occurred on an 80 km long normal‐fault
system. The sequence initiated with the M w 6.0 Amatrice event on 24 August 2016, followed …
system. The sequence initiated with the M w 6.0 Amatrice event on 24 August 2016, followed …
Aftershock Forecasting
Aftershocks can compound the impacts of a major earthquake, disrupting recovery efforts
and potentially further damaging weakened buildings and infrastructure. Forecasts of the …
and potentially further damaging weakened buildings and infrastructure. Forecasts of the …
SimplETAS: A Benchmark earthquake forecasting model suitable for operational purposes and seismic hazard analysis
S Mancini, W Marzocchi - Seismological Research …, 2024 - pubs.geoscienceworld.org
The epidemic‐type aftershock sequence (ETAS) model is the most effective mathematical
description of the short‐term space–time earthquake clustering. However, the use of such a …
description of the short‐term space–time earthquake clustering. However, the use of such a …
Stress transfer from opening hydraulic fractures controls the distribution of induced seismicity
Understanding the dominant physical processes that cause fault reactivation due to fluid
injection is vital to develop strategies to avoid and mitigate injection‐induced seismicity …
injection is vital to develop strategies to avoid and mitigate injection‐induced seismicity …
The predictive skills of elastic Coulomb rate‐and‐state aftershock forecasts during the 2019 Ridgecrest, California, earthquake sequence
Operational earthquake forecasting protocols commonly use statistical models for their
recognized ease of implementation and robustness in describing the short‐term …
recognized ease of implementation and robustness in describing the short‐term …
On the use of high‐resolution and deep‐learning seismic catalogs for short‐term earthquake forecasts: Potential benefits and current limitations
Enhanced earthquake catalogs provide detailed images of evolving seismic sequences.
Currently, these data sets take some time to be released but will soon become available in …
Currently, these data sets take some time to be released but will soon become available in …
Embracing data incompleteness for better earthquake forecasting
We propose two methods to calibrate the parameters of the epidemic‐type aftershock
sequence (ETAS) model based on expectation maximization (EM) while accounting for …
sequence (ETAS) model based on expectation maximization (EM) while accounting for …
Coulomb stress changes due to the 2021 MS7.4 Maduo Earthquake and expected seismicity rate changes in the surroundings
Abstract On May 22nd, 2021, an M S7. 4 earthquake occurred near the Maduo county of the
Qinghai Province, China, within the Bayan Har Block. Seismic activities have been intense …
Qinghai Province, China, within the Bayan Har Block. Seismic activities have been intense …