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Title: Hurricane Scenario Generation for Uncertainty Modeling of Coastal and Inland Flooding
Hurricanes often induce catastrophic flooding due to both storm surge near the coast, and pluvial and fluvial flooding further inland. In an effort to contribute to uncertainty quantification of impending flood events, we propose a probabilistic scenario generation scheme for hurricane flooding using state-of-art hydrological models to forecast both inland and coastal flooding. The hurricane scenario generation scheme incorporates locational uncertainty in hurricane landfall locations. For an impending hurricane, we develop a method to generate multiple scenarios by the predicated landfall location and adjusting corresponding meteorological characteristics such as precipitation. By combining inland and coastal flooding models, we seek to provide a comprehensive understanding of potential flood scenarios for an impending hurricane. To demonstrate the modeling approach, we use real-world data from the Southeast Texas region in our case study.  more » « less
Award ID(s):
1940308
NSF-PAR ID:
10291200
Author(s) / Creator(s):
; ; ; ;
Date Published:
Journal Name:
Frontiers in Climate
Volume:
3
ISSN:
2624-9553
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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