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An Integrated Scenario Ensemble-Based Framework for Hurricane Evacuation Modeling: Part 2—Hazard Modeling

  • Brian Blanton
  • , Kendra Dresback
  • , Brian Colle
  • , Randy Kolar
  • , Humberto Vergara
  • , Yang Hong
  • , Nicholas Leonardo
  • , Rachel Davidson
  • , Linda Nozick
  • , Tricia Wachtendorf
  • University of North Carolina at Chapel Hill
  • University of Oklahoma
  • Stony Brook University
  • University of Delaware
  • Cornell University

Research output: Contribution to journalArticlepeer-review

39 Scopus citations

Abstract

Hurricane track and intensity can change rapidly in unexpected ways, thus making predictions of hurricanes and related hazards uncertain. This inherent uncertainty often translates into suboptimal decision-making outcomes, such as unnecessary evacuation. Representing this uncertainty is thus critical in evacuation planning and related activities. We describe a physics-based hazard modeling approach that (1) dynamically accounts for the physical interactions among hazard components and (2) captures hurricane evolution uncertainty using an ensemble method. This loosely coupled model system provides a framework for probabilistic water inundation and wind speed levels for a new, risk-based approach to evacuation modeling, described in a companion article in this issue. It combines the Weather Research and Forecasting (WRF) meteorological model, the Coupled Routing and Excess STorage (CREST) hydrologic model, and the ADvanced CIRCulation (ADCIRC) storm surge, tide, and wind-wave model to compute inundation levels and wind speeds for an ensemble of hurricane predictions. Perturbations to WRF's initial and boundary conditions and different model physics/parameterizations generate an ensemble of storm solutions, which are then used to drive the coupled hydrologic + hydrodynamic models. Hurricane Isabel (2003) is used as a case study to illustrate the ensemble-based approach. The inundation, river runoff, and wind hazard results are strongly dependent on the accuracy of the mesoscale meteorological simulations, which improves with decreasing lead time to hurricane landfall. The ensemble envelope brackets the observed behavior while providing “best-case” and “worst-case” scenarios for the subsequent risk-based evacuation model.

Original languageEnglish
Pages (from-to)117-133
Number of pages17
JournalRisk Analysis
Volume40
Issue number1
DOIs
StatePublished - Jan 1 2020

Keywords

  • Coupled models
  • hurricane
  • river flow
  • storm surge
  • uncertainty

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