David Lumley

Professor, Green Chair in Geophysics

University of Texas at Dallas

United States

Research Interests

Explore related searches

Professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

David Lumley is a Professor and holds the Green Chair in Geophysics at the University of Texas at Dallas, USA. His research primarily focuses on geophysics, with recent articles exploring viscoelastic wave propagation, time-lapse seismic monitoring, and groundwater changes in the Yellowstone region. He has contributed significantly to the understanding of seismic velocity variations and crustal structures through advanced waveform inversion techniques.

Articles (20)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Collaborators (15)

Serge Shapiro

Professor of Geophysics

Freie Universität Berlin

GERMANY

David Lumley

Research Interests

Explore related searches

Contact this professor

About

Articles (20)

Viscoelastic wave propagation: Spectral-element simulation with a novel GSLS-type wave equation

Mapping Spatiotemporal Variations of Near‐Surface Seismic Velocity to Monitor Groundwater in Central Oklahoma

Joint full-waveform inversion for time-lapse 4D seismic monitoring

A sharp volatile-rich cap to the Yellowstone magmatic system

Time-lapse full-waveform inversion with a new gradient-weighting strategy applied to marine seismic data

Seismic Monitoring of Baseflow and Groundwater Changes in the Yellowstone National Park

Crustal and uppermost mantle structures of the North American Midcontinent Rift revealed by joint full-waveform inversion of ambient-noise data and teleseismic P waves

Seismic Full‐Waveform Inversion Reveals Radially Anisotropic Upper Mantle Structures Beneath the Australian Plate

Passive Source Reverse Time Migration Based on the Spectral Element Method

The importance of data preconditioning strategies for envelope full-waveform inversion methods: Demonstration on marine seismic data

Author Correction: Next-generation seismic model of the Australian crust from synchronous and asynchronous ambient noise imaging

Next-generation seismic model of the Australian crust from synchronous and asynchronous ambient noise imaging

Monitoring Terrestrial Water Storage, Drought and Seasonal Changes in Central Oklahoma With Ambient Seismic Noise

Detecting and denoising gravitational wave signals from binary black holes using deep learning

Improved seismic envelope full-waveform inversion

Seismic Time‐Lapse Monitoring of Near‐Surface Microbubble Water Injection by Full Waveform Inversion

Detecting and Locating Aftershocks for the 2020 Mw 6.5 Stanley, Idaho, Earthquake Using Convolutional Neural Networks

Microearthquake location and uncertainty analysis using a Kirchhoff wavefront imaging method: A comparison with traveltime inversion and full wavefield imaging methods

A Small CO2 Leakage May Induce Seismicity on a Sub‐Seismic Fault in a Good‐Porosity Clastic Saline Aquifer

Big Data Seismology

Collaborators (15)

Serge Shapiro

Qinya Liu

Brian Kennett

Fan-Chi Lin

Thorne Lay

Nozomu Takeuchi

Boris Gurevich

Roman Pevzner

Zhong Lu

Wei Zhou

Karianne J. Bergen

Daniel Trugman

Suzan van der Lee

Yehuda Ben‐Zion

Stephen Arrowsmith

Make your next move.