Alicia J. Hotovec-Ellis, PhD
I am a volcano seismologist who is focused on improving the way we recognize, monitor, and respond to volcanic unrest. I use and develop new tools to rapidly detect and better understand seismic signals generated by volcanoes such as earthquake swarms and tremor.
I have two roles at the California Volcano Observatory (CalVO): fundamental science research on volcanic seismicity and monitoring of California’s volcanoes. My research focuses on understanding physical processes at volcanoes through the entire cycle of eruption and repose using a variety of seismological methods.
Major themes in my research are:
- Recognition of unrest and changes in eruptive character
- Genesis of earthquake swarms and volcanic tremor
- Integration of interdisciplinary geophysical and geological datasets into seismic interpretations
The methods I use include waveform cross-correlation and clustering, precise relative relocation, coda wave interferometry, spectral analysis, and machine learning, among many others. I enjoy working on eruption datasets and often revisit older data to find new and unexpected observations that supplement our knowledge of what occurred and why.
I develop software for improving the way we seismically monitor volcanoes by bringing ideas from the literature into production for routine monitoring. I'm interested in the integration of interactive and automated data display so scientists responding to crises spend less time assembling data and more time interpreting it.
I lead the monitoring team at CalVO, and work with the Northern California Seismic Network to keep California’s volcanoes under constant surveillance. My goal is to ensure the necessary equipment and monitoring capabilities are already in place when the next Californian eruption occurs. I also assist other USGS volcano observatories and the Volcano Disaster Assistance Program with capacity building, data analysis, and eruption response assistance.
My interest in volcanoes began at a young age, and my career made possible through the support and mentorship of USGS scientists. As a result, I believe strongly in the value of both public outreach and mentoring for students and early career researchers.
Professional Experience
2020-Present: Research Geophysicist, USGS California Volcano Observatory
2016-2020: USGS Mendenhall Postdoctoral Fellow, Volcano Science Center
2014-2016: Postdoctoral Researcher, Department of Earth and Space Sciences, University of Washington
2009-2016: Duty Seismologist, Pacific Northwest Seismic Network
2009-2014: Research Assistant, Department of Earth and Space Sciences, University of Washington
2010: Research Geophysicist, USGS Alaska Volcano Observatory
2004-2009: Physical Science Technician / Geophysicist, USGS National Earthquake Information Center
Education and Certifications
Doctor of Philosophy, Earth and Space Science: 2014, University of Washington, Seattle, WA
Master of Science, Geophysics: 2009, Colorado School of Mines, Golden, CO
Bachelor of Science, Geophysical Engineering: 2007, Magna Cum Laude, Colorado School of Mines, Golden, CO
Affiliations and Memberships*
Seismological Society of America
American Geophysical Union
International Association of Volcanoes and Chemistry of the Earth's Interior
Honors and Awards
David A. Johnston Award for Research Excellence, University of Washington, 2014
College of the Environment Dean’s Graduate Medalist, University of Washington, 2014
AGU Outstanding Student Paper Award (VGP Section), 2011
AGU Outstanding Student Paper Award (VGP Section), 2010
Cecil and Ida Green Award in Geophysics, Colorado School of Mines, 2007
Magna Cum Laude, Colorado School of Mines, 2007
John Moore Endowed Scholarship, Colorado School of Mines, 2003-2007
Science and Products
Time series of seismic velocity changes around Mauna Loa from 2012 to 2024 derived from coda wave interferometry of repeating earthquakes
REDPy Catalogs for Mauna Loa (2012-2024)
Time series of seismic velocity changes during the 2018 collapse of Kīlauea volcano derived from coda wave interferometry of repeating earthquakes
Triggering the 2022 eruption of Mauna Loa
Preface to the focus section on volcano monitoring in the Americas
Ring fault creep drives volcano-tectonic seismicity during caldera collapse of Kīlauea in 2018
Volcanic earthquake catalog enhancement using integrated detection, matched-filtering, and relocation tools
Trends in volcano seismology: 2010 to 2020 and beyond
Earthquake-derived seismic velocity changes during the 2018 caldera collapse of Kīlauea volcano
Seismic and geodetic progression of the 2018 summit caldera collapse of Kīlauea Volcano
Deep fluid pathways beneath Mammoth Mountain, California, illuminated by migrating earthquake swarms
Non-USGS Publications**
Thelen, W.A., Hotovec-Ellis, A.J., and Bodin, P., 2016. Feasibility study of earthquake early warning (EEW) in Hawaiʻi. U.S. Geological Survey Open-File Report 2016-1172, 33 p., http://dx.doi.org/10.3133/ofr20161172.
**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.
CWIRE - Coda Wave Interferometry with Repeating Earthquakes (Version 1.0.0)
covdetect - network covariance event detector (Version 0.0.0)
REDPy - Repeating Earthquake Detector in Python (Version 1.0.0)
Science and Products
Time series of seismic velocity changes around Mauna Loa from 2012 to 2024 derived from coda wave interferometry of repeating earthquakes
REDPy Catalogs for Mauna Loa (2012-2024)
Time series of seismic velocity changes during the 2018 collapse of Kīlauea volcano derived from coda wave interferometry of repeating earthquakes
Triggering the 2022 eruption of Mauna Loa
Preface to the focus section on volcano monitoring in the Americas
Ring fault creep drives volcano-tectonic seismicity during caldera collapse of Kīlauea in 2018
Volcanic earthquake catalog enhancement using integrated detection, matched-filtering, and relocation tools
Trends in volcano seismology: 2010 to 2020 and beyond
Earthquake-derived seismic velocity changes during the 2018 caldera collapse of Kīlauea volcano
Seismic and geodetic progression of the 2018 summit caldera collapse of Kīlauea Volcano
Deep fluid pathways beneath Mammoth Mountain, California, illuminated by migrating earthquake swarms
Non-USGS Publications**
Thelen, W.A., Hotovec-Ellis, A.J., and Bodin, P., 2016. Feasibility study of earthquake early warning (EEW) in Hawaiʻi. U.S. Geological Survey Open-File Report 2016-1172, 33 p., http://dx.doi.org/10.3133/ofr20161172.
**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.
CWIRE - Coda Wave Interferometry with Repeating Earthquakes (Version 1.0.0)
covdetect - network covariance event detector (Version 0.0.0)
REDPy - Repeating Earthquake Detector in Python (Version 1.0.0)
*Disclaimer: Listing outside positions with professional scientific organizations on this Staff Profile are for informational purposes only and do not constitute an endorsement of those professional scientific organizations or their activities by the USGS, Department of the Interior, or U.S. Government