Kirstie L Haynie, PhD
I am a developmental geophysicist working with the HazDev and NEIC teams at the Geologic Hazards Science Center at the USGS in Golden, Colorado.
Kirstie L Haynie is currently a developmental geophysicist working on subduction zone related research and in Geoinformatics, where she is specifically focused on how to best leverage the Cloud for computationally-expensive workflows such as the USGS Slab2 subduction zone geometry model and ShakeMap. Kirstie finished her Ph.D. at the University at Buffalo, SUNY in Geodynamics. Her Ph.D. work focused on numerical modeling of subduction in south-central Alaska where she studied how flat slab and oceanic plateau subduction drive deformation in the overriding plate. Kirstie's research interests include subduction zone science, forearc slivers, great earthquakes, slab geometries, as well as numerical modeling, HPC, and cloud computing.
Education and Certifications
Ph.D. Geodynamics, University at Buffalo, The State University of New York, September 2019
Dissertation Title: Controls of Flat Slab Versus Oceanic Plateau Subduction on Overriding Pl
B.S. Geophysics, University of Houston, May 2014
Thesis Title: Shallow subsurface detection of buried weathered hydrocarbons using an integrated geophysical technique
B.S. Mathematics, University of Houston, May 2014
Science and Products
Data Release for the 2023 U.S. 50-State National Seismic Hazard Model - Overview
This data release contains data sets associated with the 2023 50-State National Seismic Hazard Model Update. The 2023 50-State National Seimsic Hazard Model (NSHM) Update includes an update to the NSHMs for the conterminous U.S (CONUS, last updated in 2018), Alaska (AK, last updated in 2007), and Hawaii (last updated in 2001). Data sets include inputs like seismicity catalogs used as input to the
Regional Finite-Fault Models of the 2019 Mw7.1 Ridgecrest, California, Earthquake
This dataset complements the following publication: Goldberg, D.E. & Haynie, K.L (2021) Ready for real-time: Performance of Global Navigation Satellite Systems in 2019 Mw7.1 Ridgecrest, California, rapid response products, Seismological Research Letters, doi: 10.1785/0220210278. The availability of low-latency, high-rate Global Navigation Satellite Systems (GNSS) waveforms makes it possible to com
Forecasting the long-term spatial distribution of earthquakes for the 2023 US National Seismic Hazard Model using gridded seismicity
Probabilistic seismic hazard analyses such as the U.S. National Seismic Hazard Model (NSHM) typically rely on declustering and spatially smoothing an earthquake catalog to estimate a long‐term time‐independent (background) seismicity rate to forecast future seismicity. In support of the U.S. Geological Survey’s (USGS) 2023 update to the NSHM, we update the methods used to develop this background o
Authors
Andrea L. Llenos, Andrew J. Michael, Allison Shumway, Justin Rubinstein, Kirstie Lafon Haynie, Morgan P. Moschetti, Jason M. Altekruse, Kevin R. Milner
The 2023 US 50-State National Seismic Hazard Model: Overview and implications
The US National Seismic Hazard Model (NSHM) was updated in 2023 for all 50 states using new science on seismicity, fault ruptures, ground motions, and probabilistic techniques to produce a standard of practice for public policy and other engineering applications (defined for return periods greater than ∼475 or less than ∼10,000 years). Changes in 2023 time-independent seismic hazard (both increase
Authors
Mark D. Petersen, Allison Shumway, Peter M. Powers, Edward H. Field, Morgan P. Moschetti, Kishor Jaiswal, Kevin R. Milner, Sanaz Rezaeian, Arthur Frankel, Andrea L. Llenos, Andrew J. Michael, Jason M. Altekruse, Sean Kamran Ahdi, Kyle Withers, Charles Mueller, Yuehua Zeng, Robert E. Chase, Leah M. Salditch, Nicolas Luco, Kenneth S. Rukstales, Julie A Herrick, Demi Leafar Girot, Brad T. Aagaard, Adrian Bender, Michael Blanpied, Richard W. Briggs, Oliver S. Boyd, Brandon Clayton, Christopher DuRoss, Eileen L. Evans, Peter J. Haeussler, Alexandra Elise Hatem, Kirstie Lafon Haynie, Elizabeth H. Hearn, Kaj M. Johnson, Zachary Alan Kortum, N. Simon Kwong, Andrew James Makdisi, Henry (Ben) Mason, Daniel McNamara, Devin McPhillips, P. Okubo, Morgan T. Page, Fred Pollitz, Justin Rubinstein, Bruce E. Shaw, Zheng-Kang Shen, Brian Shiro, James Andrew Smith, William J. Stephenson, Eric M. Thompson, Jessica Ann Thompson Jobe, Erin Wirth, Robert C. Witter
Ready for real time: Performance of Global Navigation Satellite System in 2019 Mw 7.1 Ridgecrest, California, rapid response products
Global Navigation Satellite Systems (GNSSs) have undergone notable advancement in the last few decades, leading to the availability of a dataset with capabilities well beyond its original intended purpose. The proliferation of high‐rate (1 Hz or greater) GNSS receivers in areas of seismological interest now allows for routine consideration of dynamic earthquake ground motions, with centimeter‐leve
Authors
Dara Elyse Goldberg, Kirstie Lafon Haynie
The US Geological Survey ground failure product: Near-real-time estimates of earthquake-triggered landslides and liquefaction
Since late 2018, the US Geological Survey (USGS) ground failure (GF) earthquake product has provided publicly available spatial estimates of earthquake-triggered landslide and liquefaction hazards, along with the qualitative hazard and population exposure-based alerts for M > 6 earthquakes worldwide and in near real time (within ∼30 min). Earthquake losses are oftentimes greatly aggravated by the
Authors
Kate E. Allstadt, Eric M. Thompson, Randall W. Jibson, David J. Wald, Mike Hearne, Edward J. Hunter, Jeremy Fee, Heather Schovanec, Daniel Slosky, Kirstie Lafon Haynie
Science and Products
Data Release for the 2023 U.S. 50-State National Seismic Hazard Model - Overview
This data release contains data sets associated with the 2023 50-State National Seismic Hazard Model Update. The 2023 50-State National Seimsic Hazard Model (NSHM) Update includes an update to the NSHMs for the conterminous U.S (CONUS, last updated in 2018), Alaska (AK, last updated in 2007), and Hawaii (last updated in 2001). Data sets include inputs like seismicity catalogs used as input to the
Regional Finite-Fault Models of the 2019 Mw7.1 Ridgecrest, California, Earthquake
This dataset complements the following publication: Goldberg, D.E. & Haynie, K.L (2021) Ready for real-time: Performance of Global Navigation Satellite Systems in 2019 Mw7.1 Ridgecrest, California, rapid response products, Seismological Research Letters, doi: 10.1785/0220210278. The availability of low-latency, high-rate Global Navigation Satellite Systems (GNSS) waveforms makes it possible to com
Forecasting the long-term spatial distribution of earthquakes for the 2023 US National Seismic Hazard Model using gridded seismicity
Probabilistic seismic hazard analyses such as the U.S. National Seismic Hazard Model (NSHM) typically rely on declustering and spatially smoothing an earthquake catalog to estimate a long‐term time‐independent (background) seismicity rate to forecast future seismicity. In support of the U.S. Geological Survey’s (USGS) 2023 update to the NSHM, we update the methods used to develop this background o
Authors
Andrea L. Llenos, Andrew J. Michael, Allison Shumway, Justin Rubinstein, Kirstie Lafon Haynie, Morgan P. Moschetti, Jason M. Altekruse, Kevin R. Milner
The 2023 US 50-State National Seismic Hazard Model: Overview and implications
The US National Seismic Hazard Model (NSHM) was updated in 2023 for all 50 states using new science on seismicity, fault ruptures, ground motions, and probabilistic techniques to produce a standard of practice for public policy and other engineering applications (defined for return periods greater than ∼475 or less than ∼10,000 years). Changes in 2023 time-independent seismic hazard (both increase
Authors
Mark D. Petersen, Allison Shumway, Peter M. Powers, Edward H. Field, Morgan P. Moschetti, Kishor Jaiswal, Kevin R. Milner, Sanaz Rezaeian, Arthur Frankel, Andrea L. Llenos, Andrew J. Michael, Jason M. Altekruse, Sean Kamran Ahdi, Kyle Withers, Charles Mueller, Yuehua Zeng, Robert E. Chase, Leah M. Salditch, Nicolas Luco, Kenneth S. Rukstales, Julie A Herrick, Demi Leafar Girot, Brad T. Aagaard, Adrian Bender, Michael Blanpied, Richard W. Briggs, Oliver S. Boyd, Brandon Clayton, Christopher DuRoss, Eileen L. Evans, Peter J. Haeussler, Alexandra Elise Hatem, Kirstie Lafon Haynie, Elizabeth H. Hearn, Kaj M. Johnson, Zachary Alan Kortum, N. Simon Kwong, Andrew James Makdisi, Henry (Ben) Mason, Daniel McNamara, Devin McPhillips, P. Okubo, Morgan T. Page, Fred Pollitz, Justin Rubinstein, Bruce E. Shaw, Zheng-Kang Shen, Brian Shiro, James Andrew Smith, William J. Stephenson, Eric M. Thompson, Jessica Ann Thompson Jobe, Erin Wirth, Robert C. Witter
Ready for real time: Performance of Global Navigation Satellite System in 2019 Mw 7.1 Ridgecrest, California, rapid response products
Global Navigation Satellite Systems (GNSSs) have undergone notable advancement in the last few decades, leading to the availability of a dataset with capabilities well beyond its original intended purpose. The proliferation of high‐rate (1 Hz or greater) GNSS receivers in areas of seismological interest now allows for routine consideration of dynamic earthquake ground motions, with centimeter‐leve
Authors
Dara Elyse Goldberg, Kirstie Lafon Haynie
The US Geological Survey ground failure product: Near-real-time estimates of earthquake-triggered landslides and liquefaction
Since late 2018, the US Geological Survey (USGS) ground failure (GF) earthquake product has provided publicly available spatial estimates of earthquake-triggered landslide and liquefaction hazards, along with the qualitative hazard and population exposure-based alerts for M > 6 earthquakes worldwide and in near real time (within ∼30 min). Earthquake losses are oftentimes greatly aggravated by the
Authors
Kate E. Allstadt, Eric M. Thompson, Randall W. Jibson, David J. Wald, Mike Hearne, Edward J. Hunter, Jeremy Fee, Heather Schovanec, Daniel Slosky, Kirstie Lafon Haynie