Extreme flood return levels in a U.S. mid-Atlantic estuary using 40-year fluvial-coastal model simulations
Using an integrated watershed-coastal modeling framework, we conducted long-term historical simulations (1980-2019) of fluvial and coastal flooding in the Delaware Bay and River, a vulnerable estuarine system in the U.S., at high spatial resolutions. By applying process-based models, we generated physically consistent and spatially detailed estimates of estuarine, riverine, and surge-driven extreme water level compared to previous studies that used field data only. We then evaluated changes in the magnitude of flood events using the 40-year simulations and detrended Floodwater Depth values with stationary extreme value analysis. Our detailed assessment of spatial-varying extreme values revealed how different flood-generation mechanisms can dominate various zones in the estuary. The datasets produced through this work will be valuable for long-term flood hazard mitigation planning in coastal communities in the Delaware Bay and River region. Additionally, this work will serve as a benchmark for other coastal flood hazard modeling communities worldwide, aiding them in systematically modeling long-term and continuous extreme flood events.
Authors
- Matthew G. Cooper (ORCID: https://orcid.org/0000-0002-0165-209X)
- Mithun Deb (ORCID: https://orcid.org/0000-0001-8898-3096)
- Taiping Wang (ORCID: https://orcid.org/0000-0002-7022-4734)
- David Judi (ORCID: https://orcid.org/0000-0003-0989-4525)
- Mark S. Wigmosta (ORCID: https://orcid.org/0000-0002-2918-8284)
- Ning Sun (ORCID: https://orcid.org/0000-0002-4094-4482)
- Zhaoqing Yang
Institutions
- Pacific Northwest National Laboratory (US)
- University of Washington (US)
Publication Details
- Journal
- Scientific Data
- Published
- 2025-08-21
- DOI
- https://doi.org/10.1038/s41597-025-05566-9
- Citations
- 2
- Primary Topic
- Tropical and Extratropical Cyclones Research
- Type
- article
- Field-Weighted Citation Impact
- 2.60
Funders
- U.S. Department of Energy
- National Energy Research Scientific Computing Center
- Office of Science
- Biological and Environmental Research
- Lawrence Berkeley National Laboratory
- Pacific Northwest National Laboratory