Google Scholar profile

Selected articles

  • New methodology for computing tsunami generation by subaerial landslides: application to the 2015 Tyndall Glacier Landslide, Alaska. D. L. George, R.M. Iverson and C.M. Cannon, 2017. Geophys. Res. Lett., V. 44(14), 7276–7284. pdf
  • A depth-averaged debris-flow model that includes the effects of evolving dilatancy: 2. Numerical predictions and experimental tests. D. L. George and R.M. Iverson, 2014. Proc. R. Soc. A, 470 (2170). pdf
  • A depth-averaged debris-flow model that includes the effects of evolving dilatancy: 1. Physical basis. R.M. Iverson and D.L. George, 2014. Proc. R. Soc. A, 470 (2170). pdf
  • Tsunami modeling with adaptively refined finite volume methods. R.J. LeVeque, D.L. George and M.J. Berger, 2011. Acta Numerica 20, pp. 211–289. Arieh Iserles, ed. pdf
  • The GeoClaw software for depth-averaged flows with adaptive refinement. M.J. Berger, D.L. George, R.J. LeVeque and K.T. Mandli, 2011. Advances in Water Resources, 34: 1195–1206. doi: 10.1016/j.advwatres.2011.02.016 pdf
  • Adaptive finite volume methods with well-balanced Riemann solvers for modeling floods in rugged terrain: application to the Malpasset dam-break flood (France, 1959). D.L. George, 2010. Int. J. Numer. Methods Fluids, 66(8): 1000–1018. pdf
  • Augmented Riemann solvers for the shallow water equations over variable topography with steady states and inundation. D. L. George, 2008. J. Comput. Phys., 227(6): 3089–3113. pdf

Journal articles

  • Multi-model comparison of computed debris flow runout of the 9 January 2018 Montecito, California post-wildfire event, K.R. Barnhart, R.P. Jones, D.L. George, B.W. McArdell, F.K. Rengers, D.M. Staley, and J.W. Kean, 2021. J. Geophys. Res.: Earth Surface, V. 126(12), 1464–1484.
  • Diverse cataclysmic floods from Pleistocene glacial Lake Missoula, R.P. Denlinger, D.L. George, C.M. Cannon, J.E. O’Connor and R.B. Waitt, 2021. Untangling the Quaternary Period: A Legacy of Stephen C. Porter, GSA Special Paper 548, 333. pdf
  • When hazard avoidance is not an option: lessons learned from monitoring the postdisaster Oso landslide, USA, Reid, M.E. et al., 2021. Landslides, 18 (9), 2993-3009. pdf
  • 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, Y. Xu, D.L. George, J. Kim, Z. Lu, M. Riley, T. Griffin, and J. Fuente, 2021. Landslides, 18 (3), 1131-1141.
  • The Missoula and Bonneville Floods – A review of Ice-Age megafloods in the Columbia River Basin, J.E. O’Connor, V.R. Baker, R.B. Waitt, L.N. Smith, C.M. Cannon, D.L. George, and R.P. Denlinger, 2020. Earth Science Reviews, V. 208, 103181. pdf
  • Basal stress equations for granular masses on smooth or discretized slopes, R.M. Iverson and D.L. George, 2019. J. Geophys. Res.: Earth Surface, V. 124(6), 1464–1484. pdf
  • Characterizing seasonally rainfall-driven movement of a translational landslide using SAR imagery and SMAP soil moisture. Y. Xu, J. Kim, D.L. George and Z. Lu, 2019. Remote Sensing, 11 (20), 2347. pdf
  • Surrogate-based parameter inference in debris flow model. M. Navarro, O.P. Le Maître, I. Hoteit, D.L. George, K.T. Mandli and O.M. Knio, 2018. Computational Geosciences, 22 (6), 1447–1463.
  • Combining InSAR and GPS to determine transient movement and thickness of a seasonally active low-gradient translational landslide. X. Hu, Z. Lu, T.C. Pierson, R. Kramer and D.L. George, 2018. Geophys. Res. Lett., V. 45(3), 1453–1462. pdf
  • Debris flow runup on vertical barriers and adverse slopes. R.M. Iverson, D.L. George and M. Logan, 2016. J. Geophys. Res.: Earth Surface, V. 121(12), 2333–2357. pdf
  • Clawpack: building an open source ecosystem for solving hyperbolic PDEs. K.T. Mandli, A.J. Ahmadia, M.J. Berger, D. Calhoun, D.L. George, Y. Hadjimichael, D.I. Ketcheson, G.I. Lemoine and R.J. LeVeque, 2016. Peer J Computer Science, 2, e68. pdf
  • Landslides that liquefy: modeling mobility bifurcation and the 2014 Oso, Washington, USA disaster. R.M. Iverson, D.L. George, 2016. Geotechnique, V. 66(3), 175–187. pdf
  • Landslide mobility and hazards: implications of the 2014 Oso disaster. R.M. Iverson, D.L. George, et al., 2015. Earth Planet. Sci. Lett., V. 412, pp. 197–208. pdf
  • Finite volume methods and adaptive refinement for global tsunami propagation and inundation. D.L. George and R.J. LeVeque, 2006. Science of Tsunami Hazards, Vol. 24. No. 5, 319–328.
  • Modeling the dynamics of lahars that originate as landslides on the west side of Mount Rainier, D.L. George, R.M. Iverson, and C.M. Cannon, 2021. USGS Open-File Report, 2011-1118.
  • Preliminary assessment of the wave generating potential from landslides at Barry Arm, Prince William Sound, Alaska., K.R. Barnhart, R.P. Jones, D.L. George, J.A. Coe, and D.M. Staley, 2021. USGS Open-File Report, 1071. pdf
  • Seamless numerical simulation of a hazard cascade in which a landslide triggers a dam-breach flood and consequent debris flow, D.L. George, R.M. Iverson, and C.M. Cannon, 2019. Debris-Flow Hazards Mitigation: Mechanics, Monitoring, Modeling, and Assessment, Association of Environmental and Engineering Geologists, Special Publication 28. pdf
  • Valid debris-flow models must avoid hot starts, R.M. Iverson and D.L. George, 2019. Debris-Flow Hazards Mitigation: Mechanics, Monitoring, Modeling, and Assessment, Association of Environmental and Engineering Geologists, Special Publication 28.
  • Overcoming barriers to progress in seismic monitoring and characterization of debris flows and lahars, K.E. Allstadt, M. Farin, A.B. Lockhart, S.K. McBride, J.W. Kean, R.M. Iverson, M. Logan, J.B. Smith, V.C. Tsai and D.L. George, 2019. Debris-Flow Hazards Mitigation: Mechanics, Monitoring, Modeling, and Assessment, Association of Environmental and Engineering Geologists, Special Publication 28.
  • Discussion of “The relation between dilatancy, effective stress and dispersive pressure in granular avalanches” by P. Bartelt and O. Buser. R.M. Iverson, D.L. George, 2016. Acta Geotech, 11(6), 1465–1468.
  • Modeling hazardous, free-surface geophysical flows with depth-averaged hyperbolic systems and adaptive numerical methods. D.L. George, 2013. Computational Challenges in the Geosciences, The IMA Volumes in Mathematics and its Applications, V. 156, pp. 25–48, Springer.
  • A two-phase debris-flow model that includes coupled evolution of volume fractions, granular dilatancy, and pore-fluid pressure. D.L. George and R.M. Iverson, 2011. In R. Genevois, D. Hamilton and A. Prestininzi, editors, pp. 415–424, Italian Journal of Engineering, Geology and Environment.
  • Parallelization of GeoClaw code for modeling geophysical flows with adaptive mesh refinement on many-core systems. S. Zhang, D.A. Yuen, A. Zhu, S. Song, D.L. George, 2011. Proc. 14th IEEE Int. Conf. on Computational Science and Engineering, CSE, pp. 573–579.
  • High-resolution methods and adaptive refinement for tsunami propagation and inundation. D.L. George and R.J. LeVeque, 2008. In S. Benzoni-Gavage and D. Serre, editors, Hyperbolic Problems: Theory, Numerics, Applications, pp. 541–549, Springer.
  • High-resolution finite volume methods for the shallow water equations with topography and dry-states. R.J. LeVeque and D.L. George, 2008. In P. L. Liu, C. Synolakis, and H. Yeh, editors, Advanced Numerical Models for Simulating Tsunami Waves and Runup, vol. 10 of Advances in Coastal and Ocean Engineering, pp. 43–73. World Scientific.