World's Best Scientists 2026 revealed!

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Mathematics

D-Index
58
Citations
10574
World Ranking
651
National Ranking
327

Engineering and Technology

D-Index
63
Citations
13071
World Ranking
1797
National Ranking
582

Research.com Recognitions

  • 2016 - SIAM Fellow For fundamental contributions to the development of computational models of coastal storm surges and other complex geophysical phenomena.

Overview

Clint Dawson is affiliated with The University of Texas at Austin in the United States. Their research primarily focuses on Earth and Planetary Sciences as well as Engineering, with specific interests in Atmospheric Science, Oceanography, Earth-Surface Processes, Computational Mechanics, and Global and Planetary Change.

Their recent publications include various papers addressing flood prediction, storm surge, and climate systems. Notable papers are:

  • Exploring the best sequence LSTM modeling architecture for flood prediction (2020, Neural Computing and Applications)
  • Towards an End-to-End Analysis and Prediction System for Weather, Climate, and Marine Applications in the Red Sea (2020, Bulletin of the American Meteorological Society)
  • Developing a Modeling Framework to Simulate Compound Flooding: When Storm Surge Interacts With Riverine Flow (2021, Frontiers in Climate)
  • The presence of Superfund sites as a determinant of life expectancy in the United States (2021, Nature Communications)
  • A framework for flexible peak storm surge prediction (2023, Coastal Engineering)

Dawson has collaborated frequently with several coauthors, including:

  • Eirik Valseth
  • Mark Loveland
  • Troy Butler
  • Benjamin Pachev
  • Soumyajit Gupta

The scientist's work appears most often in the following publication venues:

  • arXiv (Cornell University)
  • Computational Geosciences
  • Computer Methods in Applied Mechanics and Engineering
  • Coastal Engineering
  • SSRN Electronic Journal

Main topics of research cover the following areas:

  • Tropical and Extratropical Cyclones Research
  • Coastal and Marine Dynamics
  • Ocean Waves and Remote Sensing
  • Flood Risk Assessment and Management
  • Oceanographic and Atmospheric Processes
  • Meteorological Phenomena and Simulations
  • Advanced Numerical Methods in Computational Mathematics

Clint Dawson received recognition as an SIAM Fellow in 2016 for fundamental contributions to the development of computational models of coastal storm surges and other complex geophysical phenomena.

Best Publications

  • Modeling hurricane waves and storm surge using integrally-coupled, scalable computations

    J. C. Dietrich;M. Zijlema;J. J. Westerink;L. H. Holthuijsen

  • Compatible algorithms for coupled flow and transport

    Clint Dawson;Shuyu Sun;Mary F. Wheeler

  • Performance of the Unstructured-Mesh, SWAN+ADCIRC Model in Computing Hurricane Waves and Surge

    J. C. Dietrich;J. C. Dietrich;S. Tanaka;J. J. Westerink;Clinton N Dawson

  • A Finite Difference Domain Decomposition Algorithm for Numerical Solution of the Heat Equation

    Clint Dawson;Qiang Du;Todd Dupont

  • DesignSafe: New Cyberinfrastructure for Natural Hazards Engineering

    Ellen M. Rathje;Clint Dawson;Jamie E. Padgett;Jean-Paul Pinelli

  • An unsplit, higher order Godunov method for scalar conservation laws in multiple dimensions

    John B. Bell;Clint N. Dawson;Gregory R. Shubin

  • Hindcast and validation of Hurricane Ike (2008) waves, forerunner, and storm surge

    M. E. Hope;J. J. Westerink;A. B. Kennedy;P. C. Kerr

  • A Two-Grid Finite Difference Scheme for Nonlinear Parabolic Equations

    Clint N. Dawson;Mary F. Wheeler;Carol S. Woodward

  • A discontinuous Galerkin method for two-dimensional flow and transport in shallow water

    Vadym Aizinger;Clinton N Dawson

  • Enhanced Cell-Centered Finite Differences for Elliptic Equations on General Geometry

    Todd Arobogast;Clint N. Dawson;Philip T. Keenan;Mary F. Wheeler

  • Some improved error estimates for the modified method of characteristics

    C. N. Dawson;T. F. Russell;M. F. Wheeler

  • Characterizing hurricane storm surge behavior in Galveston Bay using the SWAN+ADCIRC model

    Antonia Sebastian;Jennifer M Proft;J. Casey Dietrich;Wei Du

  • hp Discontinuous Galerkin methods for advection dominated problems in shallow water flow

    Ethan J. Kubatko;Joannes J. Westerink;Clinton N Dawson

  • A wetting and drying treatment for the Runge-Kutta discontinuous Galerkin solution to the shallow water equations

    Shintaro Bunya;Ethan J. Kubatko;Joannes J. Westerink;Clinton N Dawson

  • Analysis of Expanded Mixed Finite Element Methods for a Nonlinear Parabolic Equation Modeling Flow into Variably Saturated Porous Media

    Carol S. Woodward;Clint N. Dawson

  • Godunov-mixed methods for advection-diffusion equations in multidimensions

    Clint N. Dawson

  • An Operator-Splitting Method for Advection-Diffusion-Reaction Problems

    M.F. Wheeler;C.N. Dawson

  • A Godunov-type finite volume method for the system of shallow water equations

    S. Chippada;Clinton N Dawson;M. L. Martinez;Mary F Wheeler

  • A New Generation EOS Compositional Reservoir Simulator: Part I - Formulation and Discretization

    P. Wang;I. Yotov;M. Wheeler;T. Arbogast

  • High Resolution Schemes for Conservation Laws with Locally Varying Time Steps

    Clint Dawson;Robert Kirby

  • The future of coastal and estuarine modeling: Findings from a workshop

    Oliver B. Fringer;Clint N. Dawson;Ruoying He;David K. Ralston

Frequent Co-Authors

Mary F. Wheeler
Mary F. Wheeler The University of Texas at Austin
Joannes J. Westerink
Joannes J. Westerink University of Notre Dame
Ibrahim Hoteit
Ibrahim Hoteit King Abdullah University of Science and Technology
Omar M. Knio
Omar M. Knio King Abdullah University of Science and Technology
Todd Dupont
Todd Dupont University of Chicago
Ivan Yotov
Ivan Yotov University of Pittsburgh
Richard A. Luettich
Richard A. Luettich University of North Carolina at Chapel Hill
Matthew Lease
Matthew Lease The University of Texas at Austin
Jamie E. Padgett
Jamie E. Padgett Rice University
Ellen M. Rathje
Ellen M. Rathje The University of Texas at Austin

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