Publications
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Accounting for biases in the analysis of building damage data for the 2023 M7.8 Türkiye/Syria earthquake sequence Accounting for biases in the analysis of building damage data for the 2023 M7.8 Türkiye/Syria earthquake sequence
In the aftermath of a large earthquake, several practical constraints affect the systematic collection of data for assessing building damage. The available data are therefore typically incomplete, frequently missing key information such as the type of construction, age and geographic location. Moreover, the observations often favour certain locations and damage grades. In the absence of...
Authors
Max Anderson Loake, Kishor S. Jaiswal
Major space weather risks identified via coupled physics–engineering–economic modeling Major space weather risks identified via coupled physics–engineering–economic modeling
Space weather poses an important but under-quantified threat to society. While severe geomagnetic storms are recognized as potential global catastrophes, their socio-economic impacts remain poorly quantified. We present a novel physics-engineering-economic framework that links geophysical drivers to power grid geoelectric fields, transformer vulnerability, and macroeconomic consequences...
Authors
Edward J. Oughton, Dennies K. Bor, Robert S. Weigel, C. Trevor Gaunt, Ridvan Dogan, Liling Huang, Jeffrey J. Love, Michael Wiltberger
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
International macroseismic scale 2025 International macroseismic scale 2025
No abstract available.
Authors
G. Grunthal, R. Musson, J. Schwarz, R. Spencer, David Wald, T. Wenk
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
How to determine an earthquake rate budget? A comparison of geodetic, geologic, and seismologic moment rates How to determine an earthquake rate budget? A comparison of geodetic, geologic, and seismologic moment rates
How much tectonic geodetic strain is accommodated as earthquakes? Can estimates of tectonic geodetic strain be used in probabilistic seismic hazard analyses? Understanding the balance of moment accumulation (i.e., geodetic moment) and accommodation (i.e., geologic and seismologic moment) is a necessary step toward leveraging corrected geodetic strain rates to quantify earthquake budgets...
Authors
Alexandra Elise Hatem, Richard W. Briggs, Frederick Pollitz, Nadine G. Reitman, M. Morow Tan