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Abstract ZI222Full Paper + Presentation

Temporal Interaction of Tropical Cyclone Flood Drivers: A Multi-Scale Analysis from the North Atlantic Basin to Regional Watersheds

Authors

PrimaryZiyue Liu— University of Maryland · ziyue20@terpmail.umd.edu
Co-authorMichelle (Shelby) Bensi— University of Maryland · mbensi@umd.edu
Co-authorMeredith.L.Carr@usace.army.mil— Meredith.L.Carr@usace.army.mil Edit Profile
Co-authorNorberto.C.Nadal-Caraballo@usace.army.mil— Norberto.C.Nadal-Caraballo@usace.army.mil Edit Profile
Tropical cyclone (TC)–induced coastal flooding causes substantial damage to coastal communities. These flood events are often compound hazards resulting from multiple interacting drivers, including TC storm surge, TC-induced rainfall, and river flooding. In this study, we compile and analyze historical tidal and rainfall records across the North Atlantic coastal region over an extended period. We identify limitations in existing long-term datasets, including incomplete temporal coverage and gaps in historical observations, and provide a systematic assessment of data availability to support future compound flood hazard analyses. We leverage the available data to conduct a multi-site correlation analysis to examine regional trends in the relationship between TC storm surge and rainfall across historical events. We also identify temporal lag patterns between surge and rainfall on a per-storm basis to better understand their interaction dynamics. We further undertake a local-scale analysis using higher-quality, more complete data in a selected subregion to investigate the correlation between flood driver intensity and temporal lag under different TC categories, as well as the relationship between flood depth and the timing of flood drivers. This work improves the understanding of historical data availability and compound flood driver interactions in the North Atlantic coastal region and provides a foundation for more robust compound flood hazard assessment and risk analysis.
Status: The abstract has been accepted!
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