Tropical cyclone storm surge probabilities for the east coast of the United States: a cyclone-based perspective
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Published:2022-04-12
Issue:4
Volume:22
Page:1287-1300
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ISSN:1684-9981
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Container-title:Natural Hazards and Earth System Sciences
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language:en
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Short-container-title:Nat. Hazards Earth Syst. Sci.
Author:
Towey Katherine L., Booth James F., Rodriguez Enriquez Alejandra, Wahl ThomasORCID
Abstract
Abstract. To improve our understanding of the influence of tropical
cyclones (TCs) on coastal flooding, the relationships between storm surge
and TC characteristics are analyzed for 12 sites along the east coast of the
United States. This analysis offers a unique perspective by first examining
the relationship between the characteristics of TCs and their resulting
storm surge and then determining the probabilities of storm surge associated
with TCs based on exceeding certain TC characteristic thresholds. Using
observational data, the statistical dependencies of storm surge on TCs are
examined for these characteristics: TC proximity, intensity, path angle, and
propagation speed, by applying both exponential and linear fits to the data.
At each tide gauge along the east coast of the United States, storm surge is
influenced differently by these TC characteristics, with some locations more
strongly influenced by TC intensity and others by TC proximity. The
correlation for individual and combined TC characteristics increases when
conditional sorting is applied to isolate strong TCs close to a location.
The probabilities of TCs generating surge exceeding specific return levels
(RLs) are then analyzed for TCs passing within 500 km of a tide gauge, where
between 6 % and 28 % of TCs were found to cause surge exceeding the
1-year RL. If only the closest and strongest TCs are considered, the
percentage of TCs that generate surge exceeding the 1-year RL is between 30 % and 70 % at sites north of Sewell's Point, VA, and over 65 % at
almost all sites south of Charleston, SC. When examining storm surge
produced by TCs, single-variable regression provides a good fit, while
multi-variable regression improves the fit, particularly when focusing on TC
proximity and intensity, which are, probabilistically, the two most
influential TC characteristics on storm surge.
Funder
National Science Foundation
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences
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