Publications
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Mauna Loa 2022 – Unrest, eruption, and outreach at the world’s largest volcano: Preface to the special issue Mauna Loa 2022 – Unrest, eruption, and outreach at the world’s largest volcano: Preface to the special issue
No abstract available.
Authors
Kendra J. Lynn, Elisabeth Gallant, Drew T. Downs, Frank A. Trusdell
Ice thickness regulates heat flux in permanently ice-covered lakes Ice thickness regulates heat flux in permanently ice-covered lakes
The permanently ice-covered lakes of Taylor Valley, Antarctica, are rare ecosystems where permanent ice cover and year-round vertically stable water columns provide critical redox zones for cold-adapted microorganisms. Using 30 yr of limnological data from the McMurdo Dry Valleys Long-Term Ecological Research program, we assessed the water column heat flux of four permanently ice-covered...
Authors
Hilary A. Dugan, Maciej Obryk, Michael Gooseff, Peter Doran, Amy Chiuchiolo, Jade Lawrence, John Priscu
New insights into gas-driven phase segregation in andesitic enclaves from Mt. Mazama (Crater Lake), USA New insights into gas-driven phase segregation in andesitic enclaves from Mt. Mazama (Crater Lake), USA
A key process in active magmatic systems is the “recharge” of deep-sourced mafic magma into cooler, more evolved, and crystal-rich shallow reservoirs; recharge may be the cause of, or response to, eruptive activity. Although compositional evidence for recharge has been extensively documented, physical models of recharge are limited, particularly processes that separate exsolving...
Authors
Julie Oppenheimer, Katharine V. Cashman, Alison C. Rust, Charles R. Bacon, Amanda Lindoo, Katherine J. Dobson
The systematics of stable hydrogen (δ2H) and oxygen (δ18O) isotopes and tritium (3H) in the hydrothermal system of the Yellowstone Plateau volcanic field, USA The systematics of stable hydrogen (δ2H) and oxygen (δ18O) isotopes and tritium (3H) in the hydrothermal system of the Yellowstone Plateau volcanic field, USA
To improve our understanding of hydrothermal activity on the Yellowstone Plateau volcanic field, we collected and analyzed a large data set of δ2H, δ18O, and the 3H concentrations of circum-neutral and alkaline waters. We find that (a) hot springs are fed by recharge throughout the volcanic plateau, likely focused through fractured, permeable tuff units. Previous work had stressed the...
Authors
Shaul Hurwitz, R. Blaine McCleskey, Bryant Jurgens, Jacob B. Lowenstern, Laura E. Clor, Andrew Hunt
Makushin Volcano: Recent eruptive history and ash hazards Makushin Volcano: Recent eruptive history and ash hazards
No abstract available.
Authors
Hannah R. Dietterich, Janet Schaefer, Jessica Larsen, James W. Vallance, Alexa R. Van Eaton, Kristi L. Wallace
Hydrothermal hazards on display in Yellowstone National Park Hydrothermal hazards on display in Yellowstone National Park
No abstract available.
Authors
Lauren Harrison, Michael Poland, Mara Reed, Kenneth Sims, Jefferson Hungerford
Onset and evolution of summit lava fountaining during the Mauna Loa 2022 eruption Onset and evolution of summit lava fountaining during the Mauna Loa 2022 eruption
The start of the Mauna Loa 2022 eruption in the Mokuʻāweoweo summit caldera was entirely captured through webcam videos. We analyzed footage from the ~ 7-h summit episode, processing > 87,000 frames using a newly automated method to measure fountain heights, fissure lengths, and inflight ejecta volumes. The summit episode comprised four phases. In Phase 1 (~ 1 h), a ~ 1 km long fissure...
Authors
Natalia G. Pasqualon, Bruce F. Houghton, Matthew R. Patrick, Edward W. Llewellin, Caroline M. Tisdale
REDPy: A Python tool for automated repeating earthquake detection and visualization REDPy: A Python tool for automated repeating earthquake detection and visualization
Detecting and cataloging seismic events are among the most fundamental tasks in seismology. Many standardized tools for these tasks exist, including the open‐source package repeating earthquake detector in Python (REDPy). REDPy generates an organized catalog of seismic events from continuous waveform data, in which events are automatically separated into groups (“families”) by their...
Authors
Alicia J. Hotovec-Ellis
Rapid emplacement of the Keaiwa Lava Flow of 1823 from the Great Crack in the Southwest Rift Zone of Kilauea volcano Rapid emplacement of the Keaiwa Lava Flow of 1823 from the Great Crack in the Southwest Rift Zone of Kilauea volcano
The Keaīwa Lava Flow of 1823 in the Southwest Rift Zone of Kīlauea volcano is unusual for its expansive pāhoehoe sheet flow morphology and lack of constructive vent topography, despite having a similar tholeiitic basalt composition to other lavas erupted from Kīlauea. This lava flow issued from a ∼10-km-long continuous fissure now known as the Great Crack, and has an unusually thin sheet...
Authors
Andrea Tonato, Thomas Shea, Drew T. Downs, Karim Kelfoun
Origins and fluxes of gas emissions from the Central Volcanic Zone of the Andes Origins and fluxes of gas emissions from the Central Volcanic Zone of the Andes
We present geochemical data from gas samples from ∼1200 km of arc in the Central Volcanic Zone of the Andes (CVZA), the volcanic arc with the thickest (∼70 km) continental crust globally. The primary goals of this study are to characterize and understand how magmatic gases interact with hydrothermal systems, assess the origins of the major gas species, and constrain gas emission rates...
Authors
J. Maarten de Moor, Peter Barry, Alejandro Rodriguez, Felipe Aguilera, Mauricio Aguilera, Cristobal Gonzalez, Susana Layana, Agostina Chiodi, Fredy Apaza, Pablo Masias, Christoph Kern, Jaime D. Barnes, Jeffrey T. Cullen, Deborah Bastoni, Alessia Bastianoni, Martina Cascone, Christofer Jimenez, Jessica Salas-Navarro, Carlos Ramirez, Gerdhard Jessen, Donato Giovannelli, Karen Lloyd
A generalized deep learning model to detect and classify volcano seismicity A generalized deep learning model to detect and classify volcano seismicity
Volcano seismicity is often detected and classified based on its spectral properties. However, the wide variety of volcano seismic signals and increasing amounts of data make accurate, consistent, and efficient detection and classification challenging. Machine learning (ML) has proven very effective at detecting and classifying tectonic seismicity, particularly using Convolutional Neural...
Authors
David Fee, Darren Tan, John J. Lyons, Mariangela Sciotto, Andrea Cannata, Alicia J. Hotovec-Ellis, Tarsilo Girona, Aaron Wech, Diana Roman, Matthew M. Haney, Silvio De Angelis
Understanding the evolution of scoria cone morphology using multivariate models Understanding the evolution of scoria cone morphology using multivariate models
Scoria cones are the most abundant type of volcano in the Solar System. They occur in every tectonic setting and often overlap with human populations, yet our ability to provide complete geochronology within volcanic fields remains limited. Appropriate geochronology underpins the reconstruction of size-frequency distribution and is a key input for robust volcanic hazard assessment...
Authors
Gabor Kereszturi, Pablo Grosse, Melody Whitehead, Marie-Noëlle Guilbaud, Drew T. Downs, Rina Noguchi, Matthieu Kervyn