Extreme sea level variability dominates coastal flood risk changes at decadal time scales
Coastal flood risk assessments typically ignore interannual to multidecadal variability stemming from mean sea level, storm surges, and long period tides (i.e. 4.4 year perigean and 18.6 year nodal cycles), although combined these can lead to significant variations in extreme sea levels (ESL). Here,...
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description | Coastal flood risk assessments typically ignore interannual to multidecadal variability stemming from mean sea level, storm surges, and long period tides (i.e. 4.4 year perigean and 18.6 year nodal cycles), although combined these can lead to significant variations in extreme sea levels (ESL). Here, we examine the effects of ESL variability on the amplification of flood frequencies and risks for 17 major U.S. coastal cities. We also quantify the relative importance of ESL variability compared to long-term relative sea level rise (RSLR). Results show that, depending on the region, observed ESL variability can lead to amplification factors of up to 79, indicating that the 100 year return period event can become a 1.26 year event during certain time periods when ESL variability peaks high. Additionally, depending on the RSLR scenario considered, the observed range of ESL variability is equivalent to the RSLR projected to occur over the next few years in some locations and several decades (up to 2100) in others. These ESL fluctuations also modulate flood risk estimates, with the aggregated 100 year flood losses for the 17 major U.S. coastal cities changing by up to US$ 141 979 million (or 28%). This study demonstrates the importance of including ESL variability in regional coastal flood risk assessments; it highlights the importance of being aware and vigilant of these variations when observed and projected ESL situations are quantified assuming that certain sea level components are stationary. |
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Here, we examine the effects of ESL variability on the amplification of flood frequencies and risks for 17 major U.S. coastal cities. We also quantify the relative importance of ESL variability compared to long-term relative sea level rise (RSLR). Results show that, depending on the region, observed ESL variability can lead to amplification factors of up to 79, indicating that the 100 year return period event can become a 1.26 year event during certain time periods when ESL variability peaks high. Additionally, depending on the RSLR scenario considered, the observed range of ESL variability is equivalent to the RSLR projected to occur over the next few years in some locations and several decades (up to 2100) in others. These ESL fluctuations also modulate flood risk estimates, with the aggregated 100 year flood losses for the 17 major U.S. coastal cities changing by up to US$ 141 979 million (or 28%). This study demonstrates the importance of including ESL variability in regional coastal flood risk assessments; it highlights the importance of being aware and vigilant of these variations when observed and projected ESL situations are quantified assuming that certain sea level components are stationary.</description><identifier>ISSN: 1748-9326</identifier><identifier>EISSN: 1748-9326</identifier><identifier>DOI: 10.1088/1748-9326/abd4aa</identifier><identifier>CODEN: ERLNAL</identifier><language>eng</language><publisher>BRISTOL: IOP Publishing</publisher><subject>100 year floods ; Amplification ; amplification factor ; annual average losses ; coastal flood ; Environmental risk ; Environmental Sciences ; Environmental Sciences & Ecology ; extreme sea level ; Flood control ; Flood frequency ; Floods ; Life Sciences & Biomedicine ; Meteorology & Atmospheric Sciences ; Physical Sciences ; Risk assessment ; Science & Technology ; Sea level ; Sea level rise ; Storm surges ; Variability</subject><ispartof>Environmental research letters, 2021-02, Vol.16 (2), p.24026, Article 024026</ispartof><rights>2021 The Author(s). 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Res. Lett</addtitle><description>Coastal flood risk assessments typically ignore interannual to multidecadal variability stemming from mean sea level, storm surges, and long period tides (i.e. 4.4 year perigean and 18.6 year nodal cycles), although combined these can lead to significant variations in extreme sea levels (ESL). Here, we examine the effects of ESL variability on the amplification of flood frequencies and risks for 17 major U.S. coastal cities. We also quantify the relative importance of ESL variability compared to long-term relative sea level rise (RSLR). Results show that, depending on the region, observed ESL variability can lead to amplification factors of up to 79, indicating that the 100 year return period event can become a 1.26 year event during certain time periods when ESL variability peaks high. Additionally, depending on the RSLR scenario considered, the observed range of ESL variability is equivalent to the RSLR projected to occur over the next few years in some locations and several decades (up to 2100) in others. These ESL fluctuations also modulate flood risk estimates, with the aggregated 100 year flood losses for the 17 major U.S. coastal cities changing by up to US$ 141 979 million (or 28%). This study demonstrates the importance of including ESL variability in regional coastal flood risk assessments; it highlights the importance of being aware and vigilant of these variations when observed and projected ESL situations are quantified assuming that certain sea level components are stationary.</description><subject>100 year floods</subject><subject>Amplification</subject><subject>amplification factor</subject><subject>annual average losses</subject><subject>coastal flood</subject><subject>Environmental risk</subject><subject>Environmental Sciences</subject><subject>Environmental Sciences & Ecology</subject><subject>extreme sea level</subject><subject>Flood control</subject><subject>Flood frequency</subject><subject>Floods</subject><subject>Life Sciences & Biomedicine</subject><subject>Meteorology & Atmospheric Sciences</subject><subject>Physical Sciences</subject><subject>Risk assessment</subject><subject>Science & Technology</subject><subject>Sea level</subject><subject>Sea level rise</subject><subject>Storm surges</subject><subject>Variability</subject><issn>1748-9326</issn><issn>1748-9326</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>HGBXW</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNUT2P1DAQjRBIHAc9ZSQKClhuJnYcp0SrA046iQYKKmtiTw4v2XixvQf373EIWigQovJo3sc8z1TVU4RXCFpfYCf1pheNuqDBSaJ71dmpdf-P-mH1KKUdQCvbTp9Vny6_58h7rhNTPfEtT_UtRU-Dn3y-q13Y-5kyp9oGSpmmepxCcHX06UttP9N8UyDKtWNLrqDZL1aWJk6PqwcjTYmf_HrPq49vLj9s322u37-92r6-3tgWMG_U4FBrJKX02DYgoOdhBGV74gHtAiFqapC1FqPrBhoQRF9qoWSPHYnz6mr1dYF25hD9nuKdCeTNz0aIN4Zi9nZiM1rhepISHYDsVNsXA6kGEIOlhpCL17PV6xDD1yOnbHbhGOcS3zQtCmgkdKqwYGXZGFKKPJ6mIpjlGGbZtlm2bdZjFIleJd94CGOynmfLJxkAKJTYSFEqwK3PlH2Yt-E45yJ98f_Swn65sn04_A7_j1zP_0LnOBlUpjHLhwv54EbxAyCRuIc</recordid><startdate>20210201</startdate><enddate>20210201</enddate><creator>Rashid, M M</creator><creator>Wahl, T</creator><creator>Chambers, D P</creator><general>IOP Publishing</general><general>IOP Publishing Ltd</general><scope>O3W</scope><scope>TSCCA</scope><scope>BLEPL</scope><scope>DTL</scope><scope>HGBXW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-3643-5463</orcidid><orcidid>https://orcid.org/0000-0002-0315-9055</orcidid></search><sort><creationdate>20210201</creationdate><title>Extreme sea level variability dominates coastal flood risk changes at decadal time scales</title><author>Rashid, M M ; Wahl, T ; Chambers, D P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c501t-6bd1881a668f520309ebf06c9aeb1c1881118a21e883fd7bab103983f364917a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>100 year floods</topic><topic>Amplification</topic><topic>amplification factor</topic><topic>annual average losses</topic><topic>coastal flood</topic><topic>Environmental risk</topic><topic>Environmental Sciences</topic><topic>Environmental Sciences & Ecology</topic><topic>extreme sea level</topic><topic>Flood control</topic><topic>Flood frequency</topic><topic>Floods</topic><topic>Life Sciences & Biomedicine</topic><topic>Meteorology & Atmospheric Sciences</topic><topic>Physical Sciences</topic><topic>Risk assessment</topic><topic>Science & Technology</topic><topic>Sea level</topic><topic>Sea level rise</topic><topic>Storm surges</topic><topic>Variability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rashid, M M</creatorcontrib><creatorcontrib>Wahl, T</creatorcontrib><creatorcontrib>Chambers, D P</creatorcontrib><collection>Institute of Physics Open Access Journal Titles</collection><collection>IOPscience (Open Access)</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Environmental research letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rashid, M M</au><au>Wahl, T</au><au>Chambers, D P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Extreme sea level variability dominates coastal flood risk changes at decadal time scales</atitle><jtitle>Environmental research letters</jtitle><stitle>ERL</stitle><stitle>ENVIRON RES LETT</stitle><addtitle>Environ. Res. Lett</addtitle><date>2021-02-01</date><risdate>2021</risdate><volume>16</volume><issue>2</issue><spage>24026</spage><pages>24026-</pages><artnum>024026</artnum><issn>1748-9326</issn><eissn>1748-9326</eissn><coden>ERLNAL</coden><abstract>Coastal flood risk assessments typically ignore interannual to multidecadal variability stemming from mean sea level, storm surges, and long period tides (i.e. 4.4 year perigean and 18.6 year nodal cycles), although combined these can lead to significant variations in extreme sea levels (ESL). Here, we examine the effects of ESL variability on the amplification of flood frequencies and risks for 17 major U.S. coastal cities. We also quantify the relative importance of ESL variability compared to long-term relative sea level rise (RSLR). Results show that, depending on the region, observed ESL variability can lead to amplification factors of up to 79, indicating that the 100 year return period event can become a 1.26 year event during certain time periods when ESL variability peaks high. Additionally, depending on the RSLR scenario considered, the observed range of ESL variability is equivalent to the RSLR projected to occur over the next few years in some locations and several decades (up to 2100) in others. These ESL fluctuations also modulate flood risk estimates, with the aggregated 100 year flood losses for the 17 major U.S. coastal cities changing by up to US$ 141 979 million (or 28%). This study demonstrates the importance of including ESL variability in regional coastal flood risk assessments; it highlights the importance of being aware and vigilant of these variations when observed and projected ESL situations are quantified assuming that certain sea level components are stationary.</abstract><cop>BRISTOL</cop><pub>IOP Publishing</pub><doi>10.1088/1748-9326/abd4aa</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0003-3643-5463</orcidid><orcidid>https://orcid.org/0000-0002-0315-9055</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 100 year floods Amplification amplification factor annual average losses coastal flood Environmental risk Environmental Sciences Environmental Sciences & Ecology extreme sea level Flood control Flood frequency Floods Life Sciences & Biomedicine Meteorology & Atmospheric Sciences Physical Sciences Risk assessment Science & Technology Sea level Sea level rise Storm surges Variability |
title | Extreme sea level variability dominates coastal flood risk changes at decadal time scales |
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