Results 71 to 80 of about 20,020 (188)

Integrating GNSS and Hydrological Data to Understand Seasonal Microseismicity at La Soufrière de Guadeloupe

open access: yesJournal of Geophysical Research: Solid Earth, Volume 131, Issue 3, March 2026.
Abstract La Soufrière de Guadeloupe volcano exhibits microseismic activity dominated by volcano‐tectonic repeaters, mainly occurring in swarms clustered in a sub‐vertical conduit beneath the Tarissan acid lake (TAS) at depths less than 800 m. Following the April 2018 earthquake (Mlv 4.1), which likely damaged the dome, swarms intensified and show ...
Laëtitia Pantobe   +4 more
wiley   +1 more source

Dynamic Earthquake Source Inversion With Generative Adversarial Network Priors

open access: yesJournal of Geophysical Research: Solid Earth, Volume 131, Issue 3, March 2026.
Abstract Dynamic earthquake source inversion consists of inferring frictional parameters and initial stress on a fault consistent with recorded seismological and geodetic data and with dynamic earthquake rupture models. In a Bayesian inversion approach, the nonlinear relationship between model parameters and data requires a computationally demanding ...
Jan Premus, Jean Paul Ampuero
wiley   +1 more source

On goodness‐of‐fit testing for self‐exciting point processes

open access: yesScandinavian Journal of Statistics, Volume 53, Issue 1, Page 102-139, March 2026.
Abstract Despite the wide usage of parametric point processes in theory and applications, a sound goodness‐of‐fit procedure to test whether a given parametric model is appropriate for data coming from a self‐exciting point process has been missing in the literature.
José Carlos Fontanesi Kling   +1 more
wiley   +1 more source

Efficient multiple‐robust estimation for nonresponse data under informative sampling

open access: yesScandinavian Journal of Statistics, Volume 53, Issue 1, Page 395-412, March 2026.
Abstract Nonresponse in probability sampling presents a long‐standing challenge in survey sampling, often necessitating simultaneous adjustments to address sampling and selection biases. We develop a statistical framework that explicitly models sampling weights as random variables and establish the semiparametric efficiency bound for the parameter of ...
Kosuke Morikawa   +2 more
wiley   +1 more source

Deep Earthquakes Can Generate Larger Co‐Seismic Displacements Than Shallow Events

open access: yesGeophysical Research Letters, Volume 53, Issue 4, 28 February 2026.
Abstract We report the counter‐intuitive observation that a deep earthquake can generate larger co‐seismic displacements than a shallow event across a broad region (e.g., >4° from epicenter). This finding is based on a detailed comparative GNSS analysis of the co‐seismic displacement observations from two MW 8.3 events—the 2013 598.1 km‐deep Okhotsk ...
Sifang Chen, Sunyoung Park
wiley   +1 more source

Environments Associated With Lightning Occurrence Based on Pre‐ and Post‐Convective Rawinsonde Measurements in Central Europe

open access: yesGeophysical Research Letters, Volume 53, Issue 4, 28 February 2026.
Abstract Rawinsonde measurements from Central Europe were evaluated to investigate environments associated with lightning. The study compared lightning and non‐lightning profiles, pre‐ and post‐convective profiles, and varying lightning flash rates. In total, 137,501 quality‐controlled measurements from 2006 to 2018 were used, along with 327 convective
Patryk Matczak   +3 more
wiley   +1 more source

Tide‐Modulated Ocean‐to‐Earth Energy Conversion Quantified With Coastal Fiber Sensing

open access: yesGeophysical Research Letters, Volume 53, Issue 4, 28 February 2026.
Abstract Quantifying how incident ocean waves transfer energy into seismic surface waves along the nearshore is essential for understanding coastal hazards and Earth–ocean coupling, yet time‐resolved in situ estimates have been scarce. Here we use a beach‐deployed distributed acoustic sensing array co‐located with an ocean‐bottom node to directly ...
Justin Yen‐Ting Ko   +17 more
wiley   +1 more source

Evaluation of GFSv16 for Near‐Real‐Time Data Impact Studies During the Atmospheric River Reconnaissance Program 2022

open access: yesJournal of Geophysical Research: Atmospheres, Volume 131, Issue 4, 28 February 2026.
Abstract Landfalling Atmospheric Rivers (ARs) are crucial for the water resources on the U.S. West Coast, but can also cause hazardous weather and water events there. Yet, accurately predicting AR impacts on precipitation remains a challenge. This study investigates the influence of dropsonde data from AR Reconnaissance (AR Recon) on improving weather ...
Vijay Tallapragada   +13 more
wiley   +1 more source

Perspective Chapter: Statistical Seismology

open access: yes
Seismology, known as the science of earthquakes, is a branch of geophysics that studies earthquakes, seismic wave propagation within the earth, measurement instruments (seismographs) and seismic methods, evaluation of data, and other earthquake-related issues. Statistics is the science of collecting data accurately, learning from data, and transforming
openaire   +1 more source

Current Challenges in Statistical Seismology [PDF]

open access: yesPure and Applied Geophysics, 2016
Qinghua Huang   +2 more
openaire   +1 more source

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