The ever‐increasing networks and quantity of seismic data drive the need for seamless and
automatic workflows for rapid and accurate earthquake detection and location. In recent …

The Grand Canyon provides a deeply dissected view of the aquifers of the Colorado Plateau
and its public and tribal lands. Stacked sandstone and karst aquifers are vertically …

We present a suite of strain rate models for the western United States based on geologic
and geodetic data. The geologic data consist of Quaternary fault‐slip rates and the geodetic …

Probabilistic seismic hazard analyses such as the US National Seismic Hazard Model
(NSHM) typically rely on declustering and spatially smoothing an earthquake catalog to …

Abstract The Raton Basin of Southern Colorado and Northern New Mexico experienced a
significant increase in seismicity over the last several decades, including two M5+ …

Relative relocation techniques are widely used to improve the resolution of earthquake
hypocenter positions. Here, we present GrowClust3D. jl—an open‐source software package …

Rupture segmentation and propagating earthquake sequences are observed in major fault
systems, however, the scalability of these processes to smaller fault systems is unclear. We …

Fluid injection can induce seismicity by altering stresses on pre‐existing faults. Here, we
investigate minimizing induced earthquake potential by optimizing injection operations in a …

Given the recent developments in machine-learning technology, its application has rapidly
progressed in various fields of earthquake seismology, achieving great success. Here, we …

The effectiveness of neural networks for picking seismic phase arrival times has been
demonstrated through several case studies, and seismic monitoring programs are starting to …