Impact‐Based Thresholds for Investigation of High‐Tide Flooding in the United States

Abstract High‐tide flooding—minor, disruptive coastal inundation—is expected to become more frequent as sea levels rise. However, quantifying just how quickly high‐tide flooding rates are changing, and whether some places experience more high‐tide flooding than others, is challenging. To quantify tr...

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Main Authors: Christopher G. Piecuch, Sarah B. Das, Levi Gorrell, Sönke Dangendorf, Benjamin D. Hamlington, Philip R. Thompson, Thomas Wahl
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:Earth's Future
Subjects:
Online Access:https://doi.org/10.1029/2024EF005850
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author Christopher G. Piecuch
Sarah B. Das
Levi Gorrell
Sönke Dangendorf
Benjamin D. Hamlington
Philip R. Thompson
Thomas Wahl
author_facet Christopher G. Piecuch
Sarah B. Das
Levi Gorrell
Sönke Dangendorf
Benjamin D. Hamlington
Philip R. Thompson
Thomas Wahl
author_sort Christopher G. Piecuch
collection DOAJ
description Abstract High‐tide flooding—minor, disruptive coastal inundation—is expected to become more frequent as sea levels rise. However, quantifying just how quickly high‐tide flooding rates are changing, and whether some places experience more high‐tide flooding than others, is challenging. To quantify trends in high‐tide flooding from tide‐gauge observations, flood thresholds—elevations above which flooding begins—must be specified. Past studies of high‐tide flooding in the United States have used different data sets and approaches for specifying flood thresholds, only some of which directly relate to coastal impacts, which has lead to sometimes conflicting and ambiguous results. Here we present a novel method for quantifying, with uncertainty, high‐tide flooding thresholds along the United States coast based on sparsely available impact‐based flood thresholds. We use those newly modeled thresholds to make an updated assessment of changes in high‐tide flooding across the United States over the past few decades. From 1990–2000 to 2010–2020, high‐tide flooding rates almost certainly (probability P>99%) increased along the United States East Coast, Gulf Coast, California, and Pacific Islands, while they very likely (P=93%) decreased along Alaska during that time; significant changes in high‐tide flooding rates between the two decades were not detected in Oregon, Washington, and the Caribbean. Averaging spatially, we find that high‐tide flooding rates probably (P=85%) more than doubled nationally between 1990–2000 and 2010–2020. Our approach lays a foundation for future studies to more accurately model high‐tide flood thresholds and trends along the global coastline.
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spelling doaj-art-efe08699616c4b278ba377c5e6b8a0c82025-08-20T03:47:24ZengWileyEarth's Future2328-42772025-04-01134n/an/a10.1029/2024EF005850Impact‐Based Thresholds for Investigation of High‐Tide Flooding in the United StatesChristopher G. Piecuch0Sarah B. Das1Levi Gorrell2Sönke Dangendorf3Benjamin D. Hamlington4Philip R. Thompson5Thomas Wahl6Woods Hole Oceanographic Institution Woods Hole MA USAWoods Hole Oceanographic Institution Woods Hole MA USAWoods Hole Oceanographic Institution Woods Hole MA USATulane University New Orleans LA USAJet Propulsion Laboratory California Institute of Technology Pasadena CA USAUniversity of Hawai'i at Manoa Honolulu HI USAUniversity of Central Florida Orlando FL USAAbstract High‐tide flooding—minor, disruptive coastal inundation—is expected to become more frequent as sea levels rise. However, quantifying just how quickly high‐tide flooding rates are changing, and whether some places experience more high‐tide flooding than others, is challenging. To quantify trends in high‐tide flooding from tide‐gauge observations, flood thresholds—elevations above which flooding begins—must be specified. Past studies of high‐tide flooding in the United States have used different data sets and approaches for specifying flood thresholds, only some of which directly relate to coastal impacts, which has lead to sometimes conflicting and ambiguous results. Here we present a novel method for quantifying, with uncertainty, high‐tide flooding thresholds along the United States coast based on sparsely available impact‐based flood thresholds. We use those newly modeled thresholds to make an updated assessment of changes in high‐tide flooding across the United States over the past few decades. From 1990–2000 to 2010–2020, high‐tide flooding rates almost certainly (probability P>99%) increased along the United States East Coast, Gulf Coast, California, and Pacific Islands, while they very likely (P=93%) decreased along Alaska during that time; significant changes in high‐tide flooding rates between the two decades were not detected in Oregon, Washington, and the Caribbean. Averaging spatially, we find that high‐tide flooding rates probably (P=85%) more than doubled nationally between 1990–2000 and 2010–2020. Our approach lays a foundation for future studies to more accurately model high‐tide flood thresholds and trends along the global coastline.https://doi.org/10.1029/2024EF005850sea‐level risehigh‐tide floodingcoastal impactsBayesian data analysisnuisance flooding
spellingShingle Christopher G. Piecuch
Sarah B. Das
Levi Gorrell
Sönke Dangendorf
Benjamin D. Hamlington
Philip R. Thompson
Thomas Wahl
Impact‐Based Thresholds for Investigation of High‐Tide Flooding in the United States
Earth's Future
sea‐level rise
high‐tide flooding
coastal impacts
Bayesian data analysis
nuisance flooding
title Impact‐Based Thresholds for Investigation of High‐Tide Flooding in the United States
title_full Impact‐Based Thresholds for Investigation of High‐Tide Flooding in the United States
title_fullStr Impact‐Based Thresholds for Investigation of High‐Tide Flooding in the United States
title_full_unstemmed Impact‐Based Thresholds for Investigation of High‐Tide Flooding in the United States
title_short Impact‐Based Thresholds for Investigation of High‐Tide Flooding in the United States
title_sort impact based thresholds for investigation of high tide flooding in the united states
topic sea‐level rise
high‐tide flooding
coastal impacts
Bayesian data analysis
nuisance flooding
url https://doi.org/10.1029/2024EF005850
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