Relative contributions of water-level components to extreme water levels along the US Southeast Atlantic Coast from a regional-scale water-level hindcast
被引:22
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作者:
Parker, Kai
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机构:
USGS, Pacific Coastal & Marine Sci Ctr, Santa Cruz, CA 95060 USAUSGS, Pacific Coastal & Marine Sci Ctr, Santa Cruz, CA 95060 USA
Parker, Kai
[1
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Erikson, Li
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机构:
USGS, Pacific Coastal & Marine Sci Ctr, Santa Cruz, CA 95060 USAUSGS, Pacific Coastal & Marine Sci Ctr, Santa Cruz, CA 95060 USA
Erikson, Li
[1
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Thomas, Jennifer
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机构:
USGS, Pacific Coastal & Marine Sci Ctr, Santa Cruz, CA 95060 USAUSGS, Pacific Coastal & Marine Sci Ctr, Santa Cruz, CA 95060 USA
Thomas, Jennifer
[1
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Nederhoff, Kees
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机构:
Deltares USA, 8601 Georgia Ave, Silver Spring, MD 20910 USAUSGS, Pacific Coastal & Marine Sci Ctr, Santa Cruz, CA 95060 USA
Nederhoff, Kees
[2
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Barnard, Patrick
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USGS, Pacific Coastal & Marine Sci Ctr, Santa Cruz, CA 95060 USAUSGS, Pacific Coastal & Marine Sci Ctr, Santa Cruz, CA 95060 USA
Barnard, Patrick
[1
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Muis, Sanne
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Deltares, Delft, Netherlands
Vrije Univ Amsterdam, Inst Environm Studies IVM, Amsterdam, NetherlandsUSGS, Pacific Coastal & Marine Sci Ctr, Santa Cruz, CA 95060 USA
Muis, Sanne
[3
,4
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机构:
[1] USGS, Pacific Coastal & Marine Sci Ctr, Santa Cruz, CA 95060 USA
[2] Deltares USA, 8601 Georgia Ave, Silver Spring, MD 20910 USA
A 38-year hindcast water-level product is developed for the US Southeast Atlantic coastline from the entrance of Chesapeake Bay to the southeast tip of Florida. The water-level modeling framework utilized in this study combines a global-scale hydrodynamic model (Global Tide and Surge Model, GTSM-ERA5), a novel ensemble-based tide model, a parameterized wave setup model, and statistical corrections applied to improve modeled water-level components. Corrected water-level data are found to be skillful, with an RMSE of 13 cm, when compared to observed water-level measurement at tide gauge locations. The largest errors in the hindcast are location-based and typically found in the tidal component of the model. Extreme water levels across the region are driven by compound events, in this case referring to combined surge, tide, and wave forcing. However, the relative importance of water-level components varies spatially, such that tides are found to be more important in the center of the study region, non-tidal residual water levels to the north, and wave setup in the north and south. Hurricanes drive the most extreme water-level events within the study area, but non-hurricane events define the low to mid-level recurrence interval water-level events. This study presents a robust analysis of the complex oceanographic factors that drive coastal flood events. This dataset will support a variety of critical coastal research goals including research related to coastal hazards, landscape change, and community risk assessments.