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Efficient physics‐informed ground‐motion simulations with reduced‐order models: CyberShake implications and high‐resolution site terms for southern San Andreas fault earthquakes Efficient physics‐informed ground‐motion simulations with reduced‐order models: CyberShake implications and high‐resolution site terms for southern San Andreas fault earthquakes

Recent advances in Probabilistic Seismic Hazard Analysis (PSHA) leverage physics‐based ground‐motion simulations to estimate seismic hazard, such as the CyberShake project. However, computational costs quickly escalate when performing PSHA for numerous faults or sites and can become prohibitively expensive. To reduce computational demands, CyberShake uses reciprocity and interpolates...
Authors
John M. Rekoske, Scott Callaghan, Kevin Ross Milner, Dave A. May, Alice-Agnes Gabriel

Regional models for postfire debris-flow likelihood and rainfall thresholds across the western United States Regional models for postfire debris-flow likelihood and rainfall thresholds across the western United States

The U.S. Geological Survey (USGS) uses an empirical model developed with logistic regression (the ‘M1’ model) to rapidly assess debris-flow likelihood and to identify quantitative rainfall thresholds for debris flows after wildfire in the western United States. The M1 model was calibrated to a debris-flow inventory from southern California (United States) and has been applied throughout...
Authors
Andrew Paul Graber, Brittany D Selander, Katherine R. Barnhart, Alexander Nicholas Gorr, Jason W. Kean, Jonathan Michael King, Jaime Kostelnik, Francis K. Rengers, Matthew A. Thomas

Numerical modeling of Late Pleistocene to Holocene earthquake-induced progressive rock slope damage in the paraglacial Serpentine valley, Prince William Sound, Alaska Numerical modeling of Late Pleistocene to Holocene earthquake-induced progressive rock slope damage in the paraglacial Serpentine valley, Prince William Sound, Alaska

Landslides in deglaciating fjords pose a potential tsunami threat to nearby communities; however, processes contributing to long-term progressive rock damage and landslide conditioning remain poorly constrained in paraglacial settings. Here, we analyse the role of earthquake-induced rock mass damage over late Pleistocene to Holocene time scales, as a conditioning factor for modern...
Authors
Molly E. McCreary, Jeffrey R. Moore, Erin K. Jensen, Valentin S. Gischig, Dennis M. Staley, Brian D. Collins

SlideDetect: Spatio-temporal landslide detection using a three-dimensional convolutional neural network SlideDetect: Spatio-temporal landslide detection using a three-dimensional convolutional neural network

Landslides pose a serious and ongoing threat to both human lives and infrastructure worldwide; therefore, it is of interest to predict where and when landslides are likely to occur. Advances in machine learning techniques have spurred numerous studies aimed at estimating relative landslide propensity, but are limited to spatial (as opposed to temporal) prediction due to the sparsity of...
Authors
Max Sutton, Benjamin B. Mirus, George Hilley

The Great Salt Lake (Utah, USA) acoustic and sedimentary archive of Wasatch Front earthquakes The Great Salt Lake (Utah, USA) acoustic and sedimentary archive of Wasatch Front earthquakes

As the largest low-relief basin in the western United States, the Great Salt Lake offers an opportunity to explore acoustic and sedimentary archives of earthquake ruptures in a shallow terminal basin. Here, we use subbottom compressed high intensity radiated pulse (Chirp) profiles and sedimentary cores to address questions related to how Great Salt Lake sediments respond to surface...
Authors
Christopher B. DuRoss, Daniel S. Brothers, Jessica A. Thompson Jobe, Richard Briggs, Drake Moore Singleton, Sylvia R. Nicovich, Alan Nelson, Jared W. Kluesner, Jason Scott Padgett

From landslide susceptibility to risk assessment in the conterminous U.S. From landslide susceptibility to risk assessment in the conterminous U.S.

Understanding the spatial distribution of landslide prone-areas and what consequences they may have is important for risk management and land-use planning. In the United States, although landslides occur in every state, a comprehensive landslide risk assessment is still missing. Existing efforts, such as the Federal Emergency Management Agency (FEMA)’s National Risk Index, rely on...
Authors
Francesco Caleca, Luigi Lombardo, Benjamin B. Mirus, Ashok Dahal, Nicola Casaglia, Veronica Tofani

Digitizer Suite: The Albuquerque Seismological Laboratory Digitizer Testing Suite Digitizer Suite: The Albuquerque Seismological Laboratory Digitizer Testing Suite

Laboratory testing of digitizers and seismometers helps ensure that prior to deployment the instrumentation can produce high quality data and is operating within specifications. In this work we detail the software package called: the Albuquerque Seismological Laboratory (ASL) Digitizer Test Suite. This Java software package provides several algorithms to verify various performance...
Authors
Patrick Bastien, Corey I. Beutel, Andrew Holcomb, James Holland, Aaron Kearns, Edward Kromer, Mairi Maclean Litherland, Ian Dru Podmore, Adam T. Ringler

Near-Earth solar wind speed of fast coronal mass ejections Near-Earth solar wind speed of fast coronal mass ejections

Using solar wind and ground magnetometer data for solar cycles 23–25, extreme-value power-law models are developed that quantify relationships between near-Earth solar wind speed and Sun-to-Earth transit times of interplanetary coronal mass ejections (ICMEs). The models of near-Earth solar wind speed, conditional on ICME transit time, are (a) approximately stable for transit times as...
Authors
Jeffrey J. Love, Ian G. Richardson, E. Joshua Rigler, Kalevi Mursula

Constraining the permeability and outer-rise hydration at the Central America margin Constraining the permeability and outer-rise hydration at the Central America margin

Subduction zones are important drivers of Earth's geochemical evolution; the presence of water within the subduction system has substantial implications for geohazards, including the style of seismicity and the volume of magma generated at arc volcanoes. We utilize estimates of pore fluid distributions in the outer-rise region of the Central American margin imaged using controlled-source...
Authors
Daniel Douglas, Brad T. Aagaard, John Naliboff, Samer Naif

Detecting earthquakes in noisy real-time GNSS data with deep learning for improved PGD magnitude estimation Detecting earthquakes in noisy real-time GNSS data with deep learning for improved PGD magnitude estimation

To disseminate accurate and useful warnings, earthquake early warning (EEW) systems must quickly determine the size and location of an earthquake to estimate expected shaking. Traditional seismic‐based algorithms tend to underestimate the true magnitudes of large earthquakes, a phenomenon known as magnitude saturation. This limitation motivated the recent inclusion of Global Navigation...
Authors
Sydney N. Dybing, Diego Melgar, Amanda M. Thomas, Dara Elyse Goldberg, David Mencin, Brendan W. Crowell

Development of liquefaction-targeted design basis in U.S. seismic provisions Development of liquefaction-targeted design basis in U.S. seismic provisions

Seismic design criteria for new buildings in the United States have historically focused on life safety performance objectives through minimizing the potential for structural collapse. Development of design criteria to meet this performance objective has evolved over time, leading to the current, risk-targeted maximum considered earthquake (MCER) design basis. Corresponding MCER seismic...
Authors
Andrew James Makdisi, Steven L. Kramer, Patrick Bassal, Brett W. Maurer, Bill Perkins, Donald G. Anderson, C. B. Crouse, Shideh Dashti, David Teague

Interplanetary electric fields for extreme magnetic storms Interplanetary electric fields for extreme magnetic storms

Using a list of sudden-commencement storms, the ring-current index, and 1-h near-Earth solar-wind measurements from solar cycles 20–25, we develop extreme-value statistical models relating storm intensity 𝐷 =max⁡{−𝐷⁢𝑠⁢𝑡} to the storm main-phase maximum duskward interplanetary electric field 𝐸. The conditional relationship 𝐷|𝐸 is demonstrably sublinear—linear models are confidently...
Authors
Jeffrey J. Love, E. Joshua Rigler, Ian G. Richardson, Kalevi Mursula
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