Kate E Allstadt, Ph.D.
Kate Allstadt joined the team at the USGS Geologic Hazards Science Center in Golden, CO in June 2015.
Kate uses multidisciplinary applications of seismic and geophysical techniques to study landslide, earthquake, and volcano hazards. She currently focuses on earthquake-triggered ground failure, near-real-time earthquake impacts, seismic monitoring of debris flows and lahars, and studies of massive rapid landslides using seismic methods and numerical modeling.
Kate cofounded the ongoing GeoGirls at Mount St. Helens field camp designed to keep middle school girls interested in science through hands-on field experiences and interactions with strong science role models.
Research Interests
Multidisciplinary Applications of Seismology, Hazard and Disaster mitigation, Seismically Induced Landslides, Landslide Seismology, Earthquake and Volcano monitoring, Real-time products, Engineering seismology and Site Effects
Professional Experience
2015 – present: Research Geophysicist, USGS Geologic Hazards Science Center, Golden CO
2014 – 2015: National Science Foundation Postdoctoral Fellow at USGS Cascades Volcano Observatory: Toward early detection and tracking of mass movements at volcanoes using seismic methods.
2013 – 2014: Postdoctoral Researcher, University of Washington: M9 Cascadia megaquakes: reducing risk through science, engineering, and planning.
2009 – 2013: Duty Seismologist for Pacific Northwest Seismic Network and Research Assistant & Teaching Assistant, University of Washington
Education and Certifications
2009 – 2013: University of Washington, PhD, Seismology/Geophysics
2008 – 2009: Université Joseph Fourier, Grenoble, France and ROSE School, Pavia, Italy, M.S., Engineering Seismology
2003 - 2008: Northeastern University, B.S., Environmental Geology
Science and Products
Filter Total Items: 26
Debris-flow inundation and damage data from the 9 January 2018 Montecito Debris-Flow Event Debris-flow inundation and damage data from the 9 January 2018 Montecito Debris-Flow Event
On 9 January 2018, intense rain above Montecito, California triggered a series of debris flows from steep catchments in the Santa Ynez Mountains. These catchments were burned three weeks earlier by the 1140 km2 Thomas Fire. After exiting the mountain front, the debris flows traveled over 3 km down a series of alluvial fans, killing 23 people and damaging over 400 homes. To understand the...
Estimated peak geoelectric field strengths during a Carrington-class magnetic storm Estimated peak geoelectric field strengths during a Carrington-class magnetic storm
This dataset presents modeled estimates of peak one-minute-resolution geoelectric-field strengths at 1,616 survey sites across the contiguous United States during a hypothetical Carrington-class magnetic storm. The values are derived using magnetometer time series and magnetotelluric impedance tensors. Each entry includes a most-likely value and a 68% confidence interval.
groundfailure groundfailure
This software is for calculating earthquake-induced ground failure hazard (i.e., landslide and liquefaction). These models are intended for regional or global scale applications, and are intended to be distributed in near-real-time, triggered by the Shakemaps.
Seismogenic Landslides, Debris Flows, and Outburst Floods in the Western United States and Canada from 1977 to 2017 Seismogenic Landslides, Debris Flows, and Outburst Floods in the Western United States and Canada from 1977 to 2017
This data release is a compilation of known landslides, debris flows, lahars, and outburst floods that generated seismic signals observable on existing seismic networks. The data release includes basic information about each event such as location, volume, area, and runout distances as well as information about seismic detections and the location of seismic data, photos, maps, GIS files...
An Open Repository of Earthquake-Triggered Ground-Failure Inventories An Open Repository of Earthquake-Triggered Ground-Failure Inventories
Earthquake-triggered ground-failure, such as landsliding and liquefaction, can contribute significantly to losses, but our current ability to accurately include them in earthquake hazard analyses is limited. The development of robust and transportable models requires access to numerous inventories of ground failure triggered by earthquakes that span a broad range of terrains, shaking
landslides-mLS landslides-mLS
mLS is a function that estimates the landslide magnitude (mLS) from cutoff (smallest area that follows power law), beta (power-law exponent), and an array of areas derived from a landslide inventory following the methods of Tanyas and others (in prep). The function plots the best power-law fit for the medium and large landslides and the frequency-area distribution of the analyzed...
Filter Total Items: 53
A near-real-time model for estimating probability of road obstruction due to earthquake-triggered landslides A near-real-time model for estimating probability of road obstruction due to earthquake-triggered landslides
Coseismic landslides are a major source of transportation disruption in mountainous areas, but few approaches exist for rapidly estimating impacts to road networks. We develop a model that links the U.S. Geological Survey (USGS) near-real-time earthquake-triggered landslide hazard model with Open Street Map (OSM) road network data to rapidly estimate segment-level obstruction risk...
Authors
B.H. Wilson, Kate E. Allstadt, Eric M. Thompson
lsforce: A Python-based single-force seismic inversion framework for massive landslides lsforce: A Python-based single-force seismic inversion framework for massive landslides
We present an open‐source Python package, lsforce, for performing single‐force source inversions of long‐period (tens to hundreds of seconds) seismic signals. Although the software is designed primarily for landslides, it can be used for any single‐force seismic source. The package allows users to produce estimates of the three‐component time series of forces exerted on the Earth by a...
Authors
Liam Toney, Kate E. Allstadt
Reconstructing the dynamics of the highly similar May 2016 and June 2019 Iliamna Volcano, Alaska ice–rock avalanches from seismoacoustic data Reconstructing the dynamics of the highly similar May 2016 and June 2019 Iliamna Volcano, Alaska ice–rock avalanches from seismoacoustic data
Surficial mass wasting events are a hazard worldwide. Seismic and acoustic signals from these often remote processes, combined with other geophysical observations, can provide key information for monitoring and rapid response efforts and enhance our understanding of event dynamics. Here, we present seismoacoustic data and analyses for two very large ice–rock avalanches occurring on...
Authors
Liam Toney, David Fee, Kate E. Allstadt, Matthew M. Haney, Robin S. Matoza
Using high sample rate lidar to measure debris-flow velocity and surface geometry Using high sample rate lidar to measure debris-flow velocity and surface geometry
Debris flows evolve in both time and space in complex ways, commonly starting as coherent failures but then quickly developing structures such as roll waves and surges. These processes are readily observed but difficult to study or quantify because of the speed at which they evolve. Many methods for studying debris flows consist of point measurements (e.g., flow height or basal stresses)...
Authors
Francis K. Rengers, Thomas D Rapstine, Michael Olsen, Kate E. Allstadt, Richard M. Iverson, Ben Leshchinsky, Maciej Obryk, Joel B. Smith
Measuring basal force fluctuations of debris flows using seismic recordings and empirical green's functions Measuring basal force fluctuations of debris flows using seismic recordings and empirical green's functions
We present a novel method for measuring the fluctuating basal normal and shear stresses of debris flows by using along‐channel seismic recordings. Our method couples a simple parameterization of a debris flow as a seismic source with direct measurements of seismic path effects using empirical Green's functions generated with a force hammer. We test this method using two large‐scale (8...
Authors
Kate E. Allstadt, Maxime Farin, Richard M. Iverson, Maciej Obryk, Jason W. Kean, Victor C. Tsai, Thomas D Rapstine, Matthew Logan
Reconstructing the velocity and deformation of a rapid landslide using multiview video Reconstructing the velocity and deformation of a rapid landslide using multiview video
Noncontact measurements of spatially varied ground surface deformation during landslide motion can provide important constraints on landslide mechanics. Here, we present and test a new method for extracting measurements of rapid landslide surface displacement and velocity (accelerations of approximately 1 m/s2) using sequences of stereo images obtained from a pair of inexpensive...
Authors
Thomas D Rapstine, Francis K. Rengers, Kate E. Allstadt, Richard M. Iverson, Joel B. Smith, Maciej Obryk, M. Logan, M. J. Olsen
Non-USGS Publications**
Coe, J.A., Baum, R. L., Allstadt, K.E., Kochevar, B.F., Schmitt, R.G., Morgan, M.L., White, J.L., Stratton, B.T., Hayashi, T.A., Kean, J.W., 2016, Rock-avalanche dynamics revealed by large-scale field mapping and seismic signals at a highly mobile avalanche in the West Salt Creek valley, western Colorado, Geosphere, 12, 25p., doi:10.1130/GES01265.1
Allstadt, K. E., Shean, D. E., Campbell, A., Fahnestock, M., and Malone, S. D., 2015, Observations of seasonal and diurnal glacier velocities at Mount Rainier, Washington, using terrestrial radar interferometry, The Cryosphere, 9, 2219-2235, doi:10.5194/tc-9-2219-2015.
Moretti, L, Allstadt, K., Mangeney, A., Capdeville, Y., Stutzmann, E. and Bouchut, F., 2015, Numerical modeling of the Mount Meager landslide constrained by its force history derived from seismic data, J. Geophs. Res., 120, 2578-2599, doi: 10.1002/2014JB011426
Allstadt, K., and Malone, S.M., 2014, Swarms of repeating stick-slip icequakes triggered by snow loading at Mount Rainier volcano, J. Geophys. Res. Earth Surf. 119, doi: 10.1002/2014JF003086
Allstadt, K., 2013, Surficial Seismology: Landslides, Glaciers and Volcanoes in the Pacific Northwest through a Seismic Lens, Ph.D. Thesis, University of Washington.
Allstadt, K., Vidale, J.E., and Frankel, A., 2013, A scenario study of seismically induced landsliding in Seattle using broadband synthetic seismograms, Bull. Seism. Soc. Am., 103(6), 2971-2992.
Allstadt, K., 2013, Extracting Source Characteristics and Dynamics of the August 2010 Mount Meager Landslide from Broadband Seismograms, J. Geophys. Res. Earth Surface, 118(3), 1472-1490.
Guthrie, R.H., Friele, P., Allstadt, K., Roberts, N., Evans, S.G., Delaney, K.B., Roche, D., Clague, J.J., and Jakob, M., 2012, The 6 August 2010 Mount Meager rock slide-debris flow, Coast Mountains, British Columbia: characteristics, dynamics, and implications for hazard and risk assessment: Nat.Haz. Earth. Syst. Sci., 12, 1277-1294.
Allstadt, K., 2009, Study of Site Effects in Landslides using Weak Ground Motion, Avignonet and Séchilienne Landslides, French Alps, M.S. Thesis, Université Joseph Fourier and ROSE School. 87p.
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
Filter Total Items: 26
Debris-flow inundation and damage data from the 9 January 2018 Montecito Debris-Flow Event Debris-flow inundation and damage data from the 9 January 2018 Montecito Debris-Flow Event
On 9 January 2018, intense rain above Montecito, California triggered a series of debris flows from steep catchments in the Santa Ynez Mountains. These catchments were burned three weeks earlier by the 1140 km2 Thomas Fire. After exiting the mountain front, the debris flows traveled over 3 km down a series of alluvial fans, killing 23 people and damaging over 400 homes. To understand the...
Estimated peak geoelectric field strengths during a Carrington-class magnetic storm Estimated peak geoelectric field strengths during a Carrington-class magnetic storm
This dataset presents modeled estimates of peak one-minute-resolution geoelectric-field strengths at 1,616 survey sites across the contiguous United States during a hypothetical Carrington-class magnetic storm. The values are derived using magnetometer time series and magnetotelluric impedance tensors. Each entry includes a most-likely value and a 68% confidence interval.
groundfailure groundfailure
This software is for calculating earthquake-induced ground failure hazard (i.e., landslide and liquefaction). These models are intended for regional or global scale applications, and are intended to be distributed in near-real-time, triggered by the Shakemaps.
Seismogenic Landslides, Debris Flows, and Outburst Floods in the Western United States and Canada from 1977 to 2017 Seismogenic Landslides, Debris Flows, and Outburst Floods in the Western United States and Canada from 1977 to 2017
This data release is a compilation of known landslides, debris flows, lahars, and outburst floods that generated seismic signals observable on existing seismic networks. The data release includes basic information about each event such as location, volume, area, and runout distances as well as information about seismic detections and the location of seismic data, photos, maps, GIS files...
An Open Repository of Earthquake-Triggered Ground-Failure Inventories An Open Repository of Earthquake-Triggered Ground-Failure Inventories
Earthquake-triggered ground-failure, such as landsliding and liquefaction, can contribute significantly to losses, but our current ability to accurately include them in earthquake hazard analyses is limited. The development of robust and transportable models requires access to numerous inventories of ground failure triggered by earthquakes that span a broad range of terrains, shaking
landslides-mLS landslides-mLS
mLS is a function that estimates the landslide magnitude (mLS) from cutoff (smallest area that follows power law), beta (power-law exponent), and an array of areas derived from a landslide inventory following the methods of Tanyas and others (in prep). The function plots the best power-law fit for the medium and large landslides and the frequency-area distribution of the analyzed...
Filter Total Items: 53
A near-real-time model for estimating probability of road obstruction due to earthquake-triggered landslides A near-real-time model for estimating probability of road obstruction due to earthquake-triggered landslides
Coseismic landslides are a major source of transportation disruption in mountainous areas, but few approaches exist for rapidly estimating impacts to road networks. We develop a model that links the U.S. Geological Survey (USGS) near-real-time earthquake-triggered landslide hazard model with Open Street Map (OSM) road network data to rapidly estimate segment-level obstruction risk...
Authors
B.H. Wilson, Kate E. Allstadt, Eric M. Thompson
lsforce: A Python-based single-force seismic inversion framework for massive landslides lsforce: A Python-based single-force seismic inversion framework for massive landslides
We present an open‐source Python package, lsforce, for performing single‐force source inversions of long‐period (tens to hundreds of seconds) seismic signals. Although the software is designed primarily for landslides, it can be used for any single‐force seismic source. The package allows users to produce estimates of the three‐component time series of forces exerted on the Earth by a...
Authors
Liam Toney, Kate E. Allstadt
Reconstructing the dynamics of the highly similar May 2016 and June 2019 Iliamna Volcano, Alaska ice–rock avalanches from seismoacoustic data Reconstructing the dynamics of the highly similar May 2016 and June 2019 Iliamna Volcano, Alaska ice–rock avalanches from seismoacoustic data
Surficial mass wasting events are a hazard worldwide. Seismic and acoustic signals from these often remote processes, combined with other geophysical observations, can provide key information for monitoring and rapid response efforts and enhance our understanding of event dynamics. Here, we present seismoacoustic data and analyses for two very large ice–rock avalanches occurring on...
Authors
Liam Toney, David Fee, Kate E. Allstadt, Matthew M. Haney, Robin S. Matoza
Using high sample rate lidar to measure debris-flow velocity and surface geometry Using high sample rate lidar to measure debris-flow velocity and surface geometry
Debris flows evolve in both time and space in complex ways, commonly starting as coherent failures but then quickly developing structures such as roll waves and surges. These processes are readily observed but difficult to study or quantify because of the speed at which they evolve. Many methods for studying debris flows consist of point measurements (e.g., flow height or basal stresses)...
Authors
Francis K. Rengers, Thomas D Rapstine, Michael Olsen, Kate E. Allstadt, Richard M. Iverson, Ben Leshchinsky, Maciej Obryk, Joel B. Smith
Measuring basal force fluctuations of debris flows using seismic recordings and empirical green's functions Measuring basal force fluctuations of debris flows using seismic recordings and empirical green's functions
We present a novel method for measuring the fluctuating basal normal and shear stresses of debris flows by using along‐channel seismic recordings. Our method couples a simple parameterization of a debris flow as a seismic source with direct measurements of seismic path effects using empirical Green's functions generated with a force hammer. We test this method using two large‐scale (8...
Authors
Kate E. Allstadt, Maxime Farin, Richard M. Iverson, Maciej Obryk, Jason W. Kean, Victor C. Tsai, Thomas D Rapstine, Matthew Logan
Reconstructing the velocity and deformation of a rapid landslide using multiview video Reconstructing the velocity and deformation of a rapid landslide using multiview video
Noncontact measurements of spatially varied ground surface deformation during landslide motion can provide important constraints on landslide mechanics. Here, we present and test a new method for extracting measurements of rapid landslide surface displacement and velocity (accelerations of approximately 1 m/s2) using sequences of stereo images obtained from a pair of inexpensive...
Authors
Thomas D Rapstine, Francis K. Rengers, Kate E. Allstadt, Richard M. Iverson, Joel B. Smith, Maciej Obryk, M. Logan, M. J. Olsen
Non-USGS Publications**
Coe, J.A., Baum, R. L., Allstadt, K.E., Kochevar, B.F., Schmitt, R.G., Morgan, M.L., White, J.L., Stratton, B.T., Hayashi, T.A., Kean, J.W., 2016, Rock-avalanche dynamics revealed by large-scale field mapping and seismic signals at a highly mobile avalanche in the West Salt Creek valley, western Colorado, Geosphere, 12, 25p., doi:10.1130/GES01265.1
Allstadt, K. E., Shean, D. E., Campbell, A., Fahnestock, M., and Malone, S. D., 2015, Observations of seasonal and diurnal glacier velocities at Mount Rainier, Washington, using terrestrial radar interferometry, The Cryosphere, 9, 2219-2235, doi:10.5194/tc-9-2219-2015.
Moretti, L, Allstadt, K., Mangeney, A., Capdeville, Y., Stutzmann, E. and Bouchut, F., 2015, Numerical modeling of the Mount Meager landslide constrained by its force history derived from seismic data, J. Geophs. Res., 120, 2578-2599, doi: 10.1002/2014JB011426
Allstadt, K., and Malone, S.M., 2014, Swarms of repeating stick-slip icequakes triggered by snow loading at Mount Rainier volcano, J. Geophys. Res. Earth Surf. 119, doi: 10.1002/2014JF003086
Allstadt, K., 2013, Surficial Seismology: Landslides, Glaciers and Volcanoes in the Pacific Northwest through a Seismic Lens, Ph.D. Thesis, University of Washington.
Allstadt, K., Vidale, J.E., and Frankel, A., 2013, A scenario study of seismically induced landsliding in Seattle using broadband synthetic seismograms, Bull. Seism. Soc. Am., 103(6), 2971-2992.
Allstadt, K., 2013, Extracting Source Characteristics and Dynamics of the August 2010 Mount Meager Landslide from Broadband Seismograms, J. Geophys. Res. Earth Surface, 118(3), 1472-1490.
Guthrie, R.H., Friele, P., Allstadt, K., Roberts, N., Evans, S.G., Delaney, K.B., Roche, D., Clague, J.J., and Jakob, M., 2012, The 6 August 2010 Mount Meager rock slide-debris flow, Coast Mountains, British Columbia: characteristics, dynamics, and implications for hazard and risk assessment: Nat.Haz. Earth. Syst. Sci., 12, 1277-1294.
Allstadt, K., 2009, Study of Site Effects in Landslides using Weak Ground Motion, Avignonet and Séchilienne Landslides, French Alps, M.S. Thesis, Université Joseph Fourier and ROSE School. 87p.
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.