D. George

发表

Valid debris-flow models must avoid hot starts

R. Iverson, D. George, 2019 .

Insights on Multistage Rock Avalanche Behavior From Runout Modeling Constrained by Seismic Inversions

K. Allstadt, B. Menounos, S. McDougall, 2022, Journal of Geophysical Research: Solid Earth.

New methodology for computing tsunami generation by subaerial landslides: Application to the 2015 Tyndall Glacier landslide, Alaska

R. Iverson, C. Cannon, D. George, 2017 .

Reconnaissance of chemical and biological quality in the Owyhee River from the Oregon State line to the Owyhee Reservoir, Oregon, 2001–02

T. R. Maret, M. Hardy, D. George, 2004 .

The Missoula and Bonneville floods—A review of ice-age megafloods in the Columbia River basin

D. L. George, V. Baker, R. Denlinger, 2020 .

Parallelization of GeoClaw Code for Modeling Geophysical Flows with Adaptive Mesh Refinement on Many-core Systems

David A. Yuen, David L. George, Shuxia Zhang, 2011, 2011 14th IEEE International Conference on Computational Science and Engineering.

Tsunami modelling with adaptively refined finite volume methods*

Randall J. LeVeque, David L. George, Marsha Berger, 2011, Acta Numerica.

The GeoClaw software for depth-averaged flows with adaptive refinement

Randall J. LeVeque, Marsha J. Berger, David L. George, 2010, 1008.0455.

Landslide mobility and hazards: implications of the 2014 Oso disaster

K. Allstadt, D. L. George, J. Coe, 2015 .

A depth-averaged debris-flow model that includes the effects of evolving dilatancy. I. Physical basis

David L. George, Richard M. Iverson, D. L. George, 2014, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

the effects of evolving dilatancy. I. Physical basis A depth-averaged debris-flow model that includes

D. L. George, R. Iverson, D. George, 2014 .

Characterizing Seasonally Rainfall-Driven Movement of a Translational Landslide using SAR Imagery and SMAP Soil Moisture

Jinwoo Kim, David L. George, Yuankun Xu, 2019, Remote. Sens..

Discussion of “The relation between dilatancy, effective stress and dispersive pressure in granular avalanches” by P. Bartelt and O. Buser (DOI: 10.1007/s11440-016-0463-7)

R. Iverson, D. George, 2016, Acta Geotechnica.

Discussion of “The relation between dilatancy, effective stress and dispersive pressure in granular avalanches” by P. Bartelt and O. Buser (DOI: 10.1007/s11440-016-0463-7)

R. Iverson, D. George, 2016 .

HIGH-RESOLUTION FINITE VOLUME METHODS FOR THE SHALLOW WATER EQUATIONS WITH BATHYMETRY AND DRY STATES

R. LeVeque, D. L. George, D. George, 2008 .

Augmented Riemann solvers for the shallow water equations over variable topography with steady states and inundation

David L. George, D. George, 2008, J. Comput. Phys..

Finite volume methods and adaptive refinement for tsunami propagation and inundation

David L. George, D. George, 2006 .

Numerical Approximation of the Nonlinear Shallow Water Equations with Topography and Dry Beds : A Godunov-Type Scheme

David L. George, D. George, 2004 .

Diverse cataclysmic floods from Pleistocene glacial Lake Missoula

R. Denlinger, J. O’Connor, R. Waitt, 2020 .

Combining InSAR and GPS to Determine Transient Movement and Thickness of a Seasonally Active Low‐Gradient Translational Landslide

Zhong Lu, David L. George, Thomas C. Pierson, 2018 .

Debris flow runup on vertical barriers and adverse slopes

R. Iverson, M. Logan, D. George, 2015 .

FINITE VOLUME METHODS AND ADAPTIVE REFINEMENT FOR GLOBAL TSUNAMI PROPAGATION AND LOCAL INUNDATION.

R. LeVeque, D. L. George, D. George, 2006 .

Simulating Debris Flow and Levee Formation in the 2D Shallow Flow Model D‐Claw: Channelized and Unconfined Flow

D. Staley, K. Barnhart, F. Rengers, 2023, Earth and Space Science.

Surrogate-based parameter inference in debris flow model

Omar M. Knio, Kyle T. Mandli, Ibrahim Hoteit, 2018, Computational Geosciences.

When hazard avoidance is not an option: lessons learned from monitoring the postdisaster Oso landslide, USA

Thomas C. Badger, R. Haugerud, E. Harp, 2021, Landslides.

Adaptive finite volume methods with well‐balanced Riemann solvers for modeling floods in rugged terrain: Application to the Malpasset dam‐break flood (France, 1959)

David L. George, D. George, 2011 .

Modeling Hazardous, Free-Surface Geophysical Flows with Depth-Averaged Hyperbolic Systems and Adaptive Numerical Methods

D. L. George, D. George, 2013 .

A depth-averaged debris-flow model that includes the effects of evolving dilatancy. II. Numerical predictions and experimental tests

David L. George, Richard M. Iverson, R. Iverson, 2014, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

predictions and experimental tests the effects of evolving dilatancy. II. Numerical A depth-averaged debris-flow model that includes

D. L. George, R. Iverson, D. George, 2014 .

Landslide monitoring and runout hazard assessment by integrating multi-source remote sensing and numerical models: an application to the Gold Basin landslide complex, northern Washington

Zhong Lu, M. Riley, Jinwoo Kim, 2020, Landslides.

Modelling landslide liquefaction, mobility bifurcation and the dynamics of the 2014 Oso disaster

D. L. George, R. Iverson, D. George, 2016 .

Clawpack: building an open source ecosystem for solving hyperbolic PDEs

Randall J. LeVeque, Kyle T. Mandli, Marsha J. Berger, 2016, PeerJ Comput. Sci..

Clawpack: building an open source ecosystem for solving hyperbolic PDEs

R. LeVeque, M. Berger, K. Mandli, 2016, PeerJ Comput. Sci..

The Clawpack 5.x software

Randall J. LeVeque, Kyle T. Mandli, Marsha J. Berger, 2016, PeerJ Prepr..

High-Resolution Methods and Adaptive Refinement for Tsunami Propagation and Inundation

R. LeVeque, D. George, 2008 .

Multi‐Model Comparison of Computed Debris Flow Runout for the 9 January 2018 Montecito, California Post‐Wildfire Event

D. Staley, B. McArdell, K. Barnhart, 2021, Journal of Geophysical Research: Earth Surface.

Basal Stress Equations for Granular Debris Masses on Smooth or Discretized Slopes

R. Iverson, D. George, 2019, Journal of Geophysical Research: Earth Surface.

Overcoming barriers to progress in seismic monitoring and characterization of debris flows and lahars

K. Allstadt, Joel B. Smith, Sara K. Mcbride, 2019 .