Either the triggering of large earthquakes on a fault hosting aseismic slip or the triggering of slow slip events (SSE) by passing seismic waves involve seismological questions with important hazard implications. Just a few observations plausibly suggest that such interactions actually happen in nature. In this study we show that three recent devastating earthquakes in Mexico are likely related to SSEs, describing a cascade of events interacting with each other on a regional scale via quasi-static and/or dynamic perturbations across the states of Guerrero and Oaxaca. Such interaction seems to be conditioned by the transient memory of Earth materials subject to the “traumatic” stress produced by seismic waves of the great 2017 (Mw8.2) Tehuantepec earthquake, which strongly disturbed the SSE cycles over a 650 km long segment of the subduction plate interface. Our results imply that seismic hazard in large populated areas is a short-term evolving function of seismotectonic processes that are often observable.

Earthquakes break their general Poissonean behavior through two types of seismic bursts: swarms and mainshock‐aftershock sequences. The former is commonly thought to dominate in volcanic and geothermal regions, but aftershock production, including within swarms, is not well studied in volcanic regions. Here we compare mainshock‐aftershock clustering in active volcanic regions in Japan to nearby nonvolcanic regions. We find that aftershock production is similar in both areas by two separate metrics: (1) Both volcanic and nonvolcanic regions have similar proportions of areas that cluster into mainshock‐aftershock sequences. (2) Volcanic areas with mainshock‐aftershock sequences have aftershock productivity at least as high as nonvolcanic regions. We also find that volcano‐tectonic events that are precursors to an eruption are more common at volcanoes without mainshock‐aftershock clusters than at volcanoes with well‐defined mainshock‐aftershock clusters. This last finding hints at a strategy to identify volcanic systems where cataloged earthquakes are good predictors of behavior.

Rapid venting of volcanic material during the 15 January 2022 Tonga eruption generated impulsive downward reaction forces on the Earth of ~2.0 × 10 13 N that radiated seismic waves observed throughout the planet, with ~25 s source bursts persisting for ~4.5 hours. The force time history is determined by analysis of teleseismic P waves and Rayleigh waves with periods approximately <50 s, providing insight into the overall volcanic eruption process. The atmospheric acoustic-gravity Lamb wave expanding from the eruption produced broadband ground motions when transiting land, along with driven and conventional tsunami waves. Atmospheric standing acoustic waves near the source produced oscillatory peak forces as large as 4 × 10 12 N, exciting resonant solid Earth Rayleigh wave motions at frequencies of 3.7 and 4.6 mHz.

The rupture of rocks, as manifested by earthquakes, is an intrinsic part of volcanic eruptions. The seismic waves of earthquakes are the most readily observable aspect of rock failure and fluid flow during large scale eruptions. Seismicity is one of the most common precursors of eruptions and it often continues after an eruption ends. But what happens in between? How do the earthquakes progress during an eruption? These questions have been studied at length for effusive eruptions, but have been hampered by detection limits during sustained, large-scale explosive eruptions. Explosive eruptions are generally characterized by high-noise seismic wavefields produced by strong seismic tremor, explosions, collapses, and many other sources of seismic excitation, causing the surviving, on-scale seismograms in the near-field (<20 km) to be covered with continuous waves that obscure the signals of individual earthquakes, particularly the low magnitude ones.Our goal is to create a high-resolution earthquake catalog in near-field (i.e., high-noise environment) records during an extended explosive eruption to better understand co-eruptive earthquake dynamics. To accomplish this, we developed a specific seismic processing workflow that detects, associates, locates, relocates, computes local magnitudes, and finally classifies events in a binary way: volcano-tectonic earthquakes (VTs) or long-period

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