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A Multivariate Scaling System Is Essential to Characterize the Tropical Cyclones' Risk
The current Tropical Cyclones (TCs) scaling system, Saffir‐Simpson Hurricane Wind Scale (SSHWS), characterizes the hazardousness of these events solely based on wind speed. This is despite the fact that TCs are classic examples of compound hazards during which multiple hazard drivers that are wind,...
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Published in: | Earth's future 2022-05, Vol.10 (5), p.n/a |
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description | The current Tropical Cyclones (TCs) scaling system, Saffir‐Simpson Hurricane Wind Scale (SSHWS), characterizes the hazardousness of these events solely based on wind speed. This is despite the fact that TCs are classic examples of compound hazards during which multiple hazard drivers that are wind, storm surge, and intense rainfall interact and yield in impacts greater than the sum of individuals. Studies have shown that people's decision to evacuate is highly related to the estimated SSHWS category. Thus, the current SSHWS ‐based classification of TCs yields an underestimation of the hazardousness of TCs and so may misguide the threatened communities. Here, we propose a new scaling system that uses Copulas for categorizing TCs based on the likelihood of a given set of severity for rainfall, surge, and wind speed. We use a variety of data sources to obtain the timing and intensity of wind speed, rainfall along the track, and the associated maximum surge for 102 TCs that have made landfall in the United States' Atlantic and Gulf coasts between 1979 and 2020. Comparing the outputs of our scaling system with official damage reporting for the costliest TCs in the history of the United States, we show that the proposed approach significantly improves TC hazard communication and can be useful for informing decision makers and emergency responders.
Key Points
The current Tropical Cyclones (TCs) scaling system solely based on wind speed, underestimates the hazardousness of events
We propose a new scaling system that takes into account the compound hazard of TCs and uses Copulas to categorize them
The proposed approach can significantly improve TCs' hazard communication |
doi_str_mv | 10.1029/2021EF002635 |
format | article |
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Key Points
The current Tropical Cyclones (TCs) scaling system solely based on wind speed, underestimates the hazardousness of events
We propose a new scaling system that takes into account the compound hazard of TCs and uses Copulas to categorize them
The proposed approach can significantly improve TCs' hazard communication</description><identifier>ISSN: 2328-4277</identifier><identifier>EISSN: 2328-4277</identifier><identifier>DOI: 10.1029/2021EF002635</identifier><language>eng</language><publisher>Bognor Regis: John Wiley & Sons, Inc</publisher><subject>Coasts ; Compound Hazards ; Copulas ; Cyclones ; Data assimilation ; Emergency response ; Floods ; Hurricane winds ; Hurricanes ; Precipitation ; Probability ; Rain ; Rainfall ; Scaling ; Scaling System ; Storm damage ; Storm surges ; Tidal waves ; Time series ; Tropical Cyclones ; Wind ; Wind speed</subject><ispartof>Earth's future, 2022-05, Vol.10 (5), p.n/a</ispartof><rights>2022 The Authors.</rights><rights>2022. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5164-aecc89725764109bfdedee07ddad5903c5ddaea939df4e9f1a910be12b024e0c3</citedby><cites>FETCH-LOGICAL-c5164-aecc89725764109bfdedee07ddad5903c5ddaea939df4e9f1a910be12b024e0c3</cites><orcidid>0000-0003-3170-8653 ; 0000-0002-6150-1138 ; 0000-0002-2889-999X ; 0000-0002-7215-9382 ; 0000-0001-5058-9173</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2669582520/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2669582520?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,11542,25732,27903,27904,36991,44569,46031,46455,74873</link.rule.ids></links><search><creatorcontrib>Alipour, Atieh</creatorcontrib><creatorcontrib>Yarveysi, Farnaz</creatorcontrib><creatorcontrib>Moftakhari, Hamed</creatorcontrib><creatorcontrib>Song, Jae Yeol</creatorcontrib><creatorcontrib>Moradkhani, Hamid</creatorcontrib><title>A Multivariate Scaling System Is Essential to Characterize the Tropical Cyclones' Risk</title><title>Earth's future</title><description>The current Tropical Cyclones (TCs) scaling system, Saffir‐Simpson Hurricane Wind Scale (SSHWS), characterizes the hazardousness of these events solely based on wind speed. This is despite the fact that TCs are classic examples of compound hazards during which multiple hazard drivers that are wind, storm surge, and intense rainfall interact and yield in impacts greater than the sum of individuals. Studies have shown that people's decision to evacuate is highly related to the estimated SSHWS category. Thus, the current SSHWS ‐based classification of TCs yields an underestimation of the hazardousness of TCs and so may misguide the threatened communities. Here, we propose a new scaling system that uses Copulas for categorizing TCs based on the likelihood of a given set of severity for rainfall, surge, and wind speed. We use a variety of data sources to obtain the timing and intensity of wind speed, rainfall along the track, and the associated maximum surge for 102 TCs that have made landfall in the United States' Atlantic and Gulf coasts between 1979 and 2020. Comparing the outputs of our scaling system with official damage reporting for the costliest TCs in the history of the United States, we show that the proposed approach significantly improves TC hazard communication and can be useful for informing decision makers and emergency responders.
Key Points
The current Tropical Cyclones (TCs) scaling system solely based on wind speed, underestimates the hazardousness of events
We propose a new scaling system that takes into account the compound hazard of TCs and uses Copulas to categorize them
The proposed approach can significantly improve TCs' hazard communication</description><subject>Coasts</subject><subject>Compound Hazards</subject><subject>Copulas</subject><subject>Cyclones</subject><subject>Data assimilation</subject><subject>Emergency response</subject><subject>Floods</subject><subject>Hurricane winds</subject><subject>Hurricanes</subject><subject>Precipitation</subject><subject>Probability</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Scaling</subject><subject>Scaling System</subject><subject>Storm damage</subject><subject>Storm surges</subject><subject>Tidal waves</subject><subject>Time series</subject><subject>Tropical Cyclones</subject><subject>Wind</subject><subject>Wind speed</subject><issn>2328-4277</issn><issn>2328-4277</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9kcFKAzEQhhdRUNSbDxDw4MXqJNnsbo5SWi1UBK1eQzaZ1dS1qUmq1Kc3WhFPzmWG4Zt_hvmL4ojCGQUmzxkwOhoDsIqLrWKPcdYMSlbX23_q3eIwxjnkkDVwUe8VDxfketUn96aD0wnJndG9WzySu3VM-EImkYxixEVyuifJk-GTDtokDO4DSXpCMgt-6fIMGa5N7xcYT8iti88HxU6n-4iHP3m_uB-PZsOrwfTmcjK8mA6MoFU50GhMI2sm6qqkINvOokWE2lpthQRuRK5QSy5tV6LsqJYUWqSsBVYiGL5fTDa61uu5Wgb3osNaee3Ud8OHR6VDcqZHBYBUIpoWeVU2Xdvk-fwHJlohbc1t1jreaC2Df11hTGruV2GRz1esqqRomGCQqdMNZYKPMWD3u5WC-jJC_TUi42yDv7se1_-yajSeMQq85J-GGoia</recordid><startdate>202205</startdate><enddate>202205</enddate><creator>Alipour, Atieh</creator><creator>Yarveysi, Farnaz</creator><creator>Moftakhari, Hamed</creator><creator>Song, Jae Yeol</creator><creator>Moradkhani, Hamid</creator><general>John Wiley & Sons, Inc</general><general>Wiley</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TG</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>SOI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-3170-8653</orcidid><orcidid>https://orcid.org/0000-0002-6150-1138</orcidid><orcidid>https://orcid.org/0000-0002-2889-999X</orcidid><orcidid>https://orcid.org/0000-0002-7215-9382</orcidid><orcidid>https://orcid.org/0000-0001-5058-9173</orcidid></search><sort><creationdate>202205</creationdate><title>A Multivariate Scaling System Is Essential to Characterize the Tropical Cyclones' Risk</title><author>Alipour, Atieh ; Yarveysi, Farnaz ; Moftakhari, Hamed ; Song, Jae Yeol ; Moradkhani, Hamid</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5164-aecc89725764109bfdedee07ddad5903c5ddaea939df4e9f1a910be12b024e0c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Coasts</topic><topic>Compound Hazards</topic><topic>Copulas</topic><topic>Cyclones</topic><topic>Data assimilation</topic><topic>Emergency response</topic><topic>Floods</topic><topic>Hurricane winds</topic><topic>Hurricanes</topic><topic>Precipitation</topic><topic>Probability</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Scaling</topic><topic>Scaling System</topic><topic>Storm damage</topic><topic>Storm surges</topic><topic>Tidal waves</topic><topic>Time series</topic><topic>Tropical Cyclones</topic><topic>Wind</topic><topic>Wind speed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Alipour, Atieh</creatorcontrib><creatorcontrib>Yarveysi, Farnaz</creatorcontrib><creatorcontrib>Moftakhari, Hamed</creatorcontrib><creatorcontrib>Song, Jae Yeol</creatorcontrib><creatorcontrib>Moradkhani, Hamid</creatorcontrib><collection>Wiley Open Access</collection><collection>Wiley Online Library Journals</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest - Publicly Available Content Database</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>Environmental Science Collection</collection><collection>Environment Abstracts</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Earth's future</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Alipour, Atieh</au><au>Yarveysi, Farnaz</au><au>Moftakhari, Hamed</au><au>Song, Jae Yeol</au><au>Moradkhani, Hamid</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Multivariate Scaling System Is Essential to Characterize the Tropical Cyclones' Risk</atitle><jtitle>Earth's future</jtitle><date>2022-05</date><risdate>2022</risdate><volume>10</volume><issue>5</issue><epage>n/a</epage><issn>2328-4277</issn><eissn>2328-4277</eissn><abstract>The current Tropical Cyclones (TCs) scaling system, Saffir‐Simpson Hurricane Wind Scale (SSHWS), characterizes the hazardousness of these events solely based on wind speed. This is despite the fact that TCs are classic examples of compound hazards during which multiple hazard drivers that are wind, storm surge, and intense rainfall interact and yield in impacts greater than the sum of individuals. Studies have shown that people's decision to evacuate is highly related to the estimated SSHWS category. Thus, the current SSHWS ‐based classification of TCs yields an underestimation of the hazardousness of TCs and so may misguide the threatened communities. Here, we propose a new scaling system that uses Copulas for categorizing TCs based on the likelihood of a given set of severity for rainfall, surge, and wind speed. We use a variety of data sources to obtain the timing and intensity of wind speed, rainfall along the track, and the associated maximum surge for 102 TCs that have made landfall in the United States' Atlantic and Gulf coasts between 1979 and 2020. Comparing the outputs of our scaling system with official damage reporting for the costliest TCs in the history of the United States, we show that the proposed approach significantly improves TC hazard communication and can be useful for informing decision makers and emergency responders.
Key Points
The current Tropical Cyclones (TCs) scaling system solely based on wind speed, underestimates the hazardousness of events
We propose a new scaling system that takes into account the compound hazard of TCs and uses Copulas to categorize them
The proposed approach can significantly improve TCs' hazard communication</abstract><cop>Bognor Regis</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1029/2021EF002635</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-3170-8653</orcidid><orcidid>https://orcid.org/0000-0002-6150-1138</orcidid><orcidid>https://orcid.org/0000-0002-2889-999X</orcidid><orcidid>https://orcid.org/0000-0002-7215-9382</orcidid><orcidid>https://orcid.org/0000-0001-5058-9173</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Coasts Compound Hazards Copulas Cyclones Data assimilation Emergency response Floods Hurricane winds Hurricanes Precipitation Probability Rain Rainfall Scaling Scaling System Storm damage Storm surges Tidal waves Time series Tropical Cyclones Wind Wind speed |
title | A Multivariate Scaling System Is Essential to Characterize the Tropical Cyclones' Risk |
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