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Characterizing storm-induced coastal change hazards along the United States West Coast

Traditional methods to assess the probability of storm-induced erosion and flooding from extreme water levels have limited use along the U.S. West Coast where swell dominates erosion and storm surge is limited. This effort presents methodology to assess the probability of erosion and flooding for th...

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Autores principales: Shope, James B., Erikson, Li H., Barnard, Patrick L., Storlazzi, Curt D., Serafin, Katherine, Doran, Kara, Stockdon, Hilary, Reguero, Borja, Mendez, Fernando, Castanedo, Sonia, Cid, Alba, Cagigal, Laura, Ruggiero, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9126972/
https://www.ncbi.nlm.nih.gov/pubmed/35606384
http://dx.doi.org/10.1038/s41597-022-01313-6
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author Shope, James B.
Erikson, Li H.
Barnard, Patrick L.
Storlazzi, Curt D.
Serafin, Katherine
Doran, Kara
Stockdon, Hilary
Reguero, Borja
Mendez, Fernando
Castanedo, Sonia
Cid, Alba
Cagigal, Laura
Ruggiero, Peter
author_facet Shope, James B.
Erikson, Li H.
Barnard, Patrick L.
Storlazzi, Curt D.
Serafin, Katherine
Doran, Kara
Stockdon, Hilary
Reguero, Borja
Mendez, Fernando
Castanedo, Sonia
Cid, Alba
Cagigal, Laura
Ruggiero, Peter
author_sort Shope, James B.
collection PubMed
description Traditional methods to assess the probability of storm-induced erosion and flooding from extreme water levels have limited use along the U.S. West Coast where swell dominates erosion and storm surge is limited. This effort presents methodology to assess the probability of erosion and flooding for the U.S. West Coast from extreme total water levels (TWLs), but the approach is applicable to coastal settings worldwide. TWLs were derived from 61 years of wave and water level data at shore-perpendicular transects every 100-m along open coast shorelines. At each location, wave data from the Global Ocean Waves model were downscaled to the nearshore and used to empirically calculate wave run-up. Tides were simulated using the Oregon State University’s tidal data inversion model and non-tidal residuals were calculated from sea-surface temperature and pressure anomalies. Wave run-up was combined with still water levels to generate hourly TWL estimates and extreme TWLs for multiple return periods. Extremes were compared to onshore morphology to determine erosion hazards and define the probability of collision, overwash, and inundation.
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spelling pubmed-91269722022-05-25 Characterizing storm-induced coastal change hazards along the United States West Coast Shope, James B. Erikson, Li H. Barnard, Patrick L. Storlazzi, Curt D. Serafin, Katherine Doran, Kara Stockdon, Hilary Reguero, Borja Mendez, Fernando Castanedo, Sonia Cid, Alba Cagigal, Laura Ruggiero, Peter Sci Data Data Descriptor Traditional methods to assess the probability of storm-induced erosion and flooding from extreme water levels have limited use along the U.S. West Coast where swell dominates erosion and storm surge is limited. This effort presents methodology to assess the probability of erosion and flooding for the U.S. West Coast from extreme total water levels (TWLs), but the approach is applicable to coastal settings worldwide. TWLs were derived from 61 years of wave and water level data at shore-perpendicular transects every 100-m along open coast shorelines. At each location, wave data from the Global Ocean Waves model were downscaled to the nearshore and used to empirically calculate wave run-up. Tides were simulated using the Oregon State University’s tidal data inversion model and non-tidal residuals were calculated from sea-surface temperature and pressure anomalies. Wave run-up was combined with still water levels to generate hourly TWL estimates and extreme TWLs for multiple return periods. Extremes were compared to onshore morphology to determine erosion hazards and define the probability of collision, overwash, and inundation. Nature Publishing Group UK 2022-05-23 /pmc/articles/PMC9126972/ /pubmed/35606384 http://dx.doi.org/10.1038/s41597-022-01313-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Shope, James B.
Erikson, Li H.
Barnard, Patrick L.
Storlazzi, Curt D.
Serafin, Katherine
Doran, Kara
Stockdon, Hilary
Reguero, Borja
Mendez, Fernando
Castanedo, Sonia
Cid, Alba
Cagigal, Laura
Ruggiero, Peter
Characterizing storm-induced coastal change hazards along the United States West Coast
title Characterizing storm-induced coastal change hazards along the United States West Coast
title_full Characterizing storm-induced coastal change hazards along the United States West Coast
title_fullStr Characterizing storm-induced coastal change hazards along the United States West Coast
title_full_unstemmed Characterizing storm-induced coastal change hazards along the United States West Coast
title_short Characterizing storm-induced coastal change hazards along the United States West Coast
title_sort characterizing storm-induced coastal change hazards along the united states west coast
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9126972/
https://www.ncbi.nlm.nih.gov/pubmed/35606384
http://dx.doi.org/10.1038/s41597-022-01313-6
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