Extreme flood return levels in a U.S. mid-Atlantic estuary using 40-year fluvial-coastal model simulations
Abstract 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 gen...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-08-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05566-9 |
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| author | Mithun Deb Ning Sun Zhaoqing Yang Taiping Wang David Judi Matthew G. Cooper Mark S. Wigmosta |
| author_facet | Mithun Deb Ning Sun Zhaoqing Yang Taiping Wang David Judi Matthew G. Cooper Mark S. Wigmosta |
| author_sort | Mithun Deb |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-35ad0c76a9114a12ba2839324a609162 |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-35ad0c76a9114a12ba2839324a6091622025-08-24T11:07:33ZengNature PortfolioScientific Data2052-44632025-08-0112112210.1038/s41597-025-05566-9Extreme flood return levels in a U.S. mid-Atlantic estuary using 40-year fluvial-coastal model simulationsMithun Deb0Ning Sun1Zhaoqing Yang2Taiping Wang3David Judi4Matthew G. Cooper5Mark S. Wigmosta6Marine and Coastal Research Laboratory, Energy and Environment Directorate, Pacific Northwest National LaboratoryEnergy and Environment Directorate, Pacific Northwest National LaboratoryMarine and Coastal Research Laboratory, Energy and Environment Directorate, Pacific Northwest National LaboratoryMarine and Coastal Research Laboratory, Energy and Environment Directorate, Pacific Northwest National LaboratoryEnergy and Environment Directorate, Pacific Northwest National LaboratoryAtmospheric, Climate, and Earth Sciences Division, Pacific Northwest National LaboratoryEnergy and Environment Directorate, Pacific Northwest National LaboratoryAbstract 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.https://doi.org/10.1038/s41597-025-05566-9 |
| spellingShingle | Mithun Deb Ning Sun Zhaoqing Yang Taiping Wang David Judi Matthew G. Cooper Mark S. Wigmosta Extreme flood return levels in a U.S. mid-Atlantic estuary using 40-year fluvial-coastal model simulations Scientific Data |
| title | Extreme flood return levels in a U.S. mid-Atlantic estuary using 40-year fluvial-coastal model simulations |
| title_full | Extreme flood return levels in a U.S. mid-Atlantic estuary using 40-year fluvial-coastal model simulations |
| title_fullStr | Extreme flood return levels in a U.S. mid-Atlantic estuary using 40-year fluvial-coastal model simulations |
| title_full_unstemmed | Extreme flood return levels in a U.S. mid-Atlantic estuary using 40-year fluvial-coastal model simulations |
| title_short | Extreme flood return levels in a U.S. mid-Atlantic estuary using 40-year fluvial-coastal model simulations |
| title_sort | extreme flood return levels in a u s mid atlantic estuary using 40 year fluvial coastal model simulations |
| url | https://doi.org/10.1038/s41597-025-05566-9 |
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