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Abstract: Enhancing the Computational Efficiency of Stochastic Storm Transposition (SST)-Based Flood Hazard and Risk Modeling Techniques Using Importance Sampling (AGU25)

Enhancing the Computational Efficiency of Stochastic Storm Transposition (SST)-Based Flood Hazard and Risk Modeling Techniques Using Importance Sampling

Shubham Jain1, Prashanta Bajracharya1, Manoj Kc1, Haden Smith2, Matthew Dircksen3, David Rosa4 and Christina Lindemer5, (1)Michael Baker International, Katy, United States, (2)USACE Risk Management Center, Denver, United States, (3)FEMA, Risk Analysis, Planning, and Information Directorate, Washington, United States, (4)FEMA Engineering Resources Branch, Washington, United States, (5)FEMA, Risk Management Directorate, Washington, United States
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