David Fee

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    A[David Fee]
    AC["Associated Concepts (21)"]
    AW["Authored Works (15)"]
    CA["Linked Co-Authors (17)"]
    CI["Linked Collaborating Institutions (13)"]
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    click AW "#authored-works"
    click CA "#co-authors"
    click CI "#collaborating-institutions"

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ORCiD

https://orcid.org/0000-0002-0936-9977

OpenAlex ID

https://openalex.org/A5014768448 (API record)

Associated Concepts [?]

• Geology
• Physics
• Seismology
• Biology
• Paleontology
• Geochemistry
• Volcano
• Geography
• Quantum mechanics
• Acoustics
• Infrasound
• Engineering
• Computer science
• History
• Meteorology
• Magma
• Archaeology
• Geophysics
• Pyroclastic rock
• Aerospace engineering
• Telecommunications

Authored Works

sorted by decreasing year, and then by display-name

• Unsupervised Machine Learning Clustering of Seismic and Infrasound Data Quality Metrics
• The Effect of Snow Cover on Infrasound Sensors
• Lava Fountain Jet Noise during the Eruption of Fissure 8, Kīlauea Volcano
• Investigation of atmospheric acoustic wave signals from the January 15th, 2022 Hunga, Tonga volcanic eruption recorded by Alaska's dense network of multi-sensor stations
• Examining the infrasound wavefield recorded by the iMUSH large-N nodal seismic array
• Volcanic earthquake catalog enhancement using integrated detection, matched-filtering, and relocation tools
• Using large earthquakes to characterize infrasound station performance with colocated seismometers
• Seismic and infrasound characterization of the ongoing eruption of Semisopochnoi volcano, Alaska
• Noise Characteristics of the Alaska Regional Infrasound Network and Implications for General Infrasound Station Performance
• Modeling Infrasound Propagation with Realistic Terrain and Atmospheres Using a Three-Dimensional Finite-Difference Time-Domain Method
• Explosion-source classification on a large, labeled collection of volcanic infrasound waveforms using machine learning
• Experimental Investigation of the Influence of Solid Particles on Volcano Acoustics
• Detecting Large Explosions using Infrasound Data Augmentation and Machine Learning
• Data Quality Control of Diverse IMS Seismo-Acoustic Station Channels
• Characterization of infrasound source directionality from explosive volcanic eruptions

Linked Co-Authors

• A. Wech
• Alex J.C. Witsil
• Alexandra M. Iezzi
• Alicia J. Hotovec‐Ellis
• Brandon Schmandt
• Donald B. Dingwell
• H. R. Dietterich
• J. D. Pesicek
• J. J. Lyons
• Jacopo Taddeucci
• Jordan W. Bishop
• Julia E. Gestrich
• Keehoon Kim
• Liam Toney
• M. E. West
• Matthew M. Haney
• Robin S. Matoza

Linked Collaborating Institutions

• California State Polytechnic University, Pomona
• Lawrence Livermore National Laboratory, California
• Los Alamos National Laboratory, New Mexico
• Ludwig-Maximilians University of Munich, Germany
• National Institute of Geophysics and Volcanology, Italy
• Pennsylvania State University
• U.S. Geological Survey, Hawaii
• University of Alaska, Fairbanks
• University of Bayreuth, Germany
• University of California, Santa Barbara
• University of California, Santa Barbara, Department of Earth Science
• University of Mississippi
• University of New Mexico

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