Loading…

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,...

Full description

Saved in:
Bibliographic Details
Published in:Earth's future 2022-05, Vol.10 (5), p.n/a
Main Authors: Alipour, Atieh, Yarveysi, Farnaz, Moftakhari, Hamed, Song, Jae Yeol, Moradkhani, Hamid
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c5164-aecc89725764109bfdedee07ddad5903c5ddaea939df4e9f1a910be12b024e0c3
cites cdi_FETCH-LOGICAL-c5164-aecc89725764109bfdedee07ddad5903c5ddaea939df4e9f1a910be12b024e0c3
container_end_page n/a
container_issue 5
container_start_page
container_title Earth's future
container_volume 10
creator Alipour, Atieh
Yarveysi, Farnaz
Moftakhari, Hamed
Song, Jae Yeol
Moradkhani, Hamid
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
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_00e19eecbe3648fb8e0c00925b59d73d</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_00e19eecbe3648fb8e0c00925b59d73d</doaj_id><sourcerecordid>2669582520</sourcerecordid><originalsourceid>FETCH-LOGICAL-c5164-aecc89725764109bfdedee07ddad5903c5ddaea939df4e9f1a910be12b024e0c3</originalsourceid><addsrcrecordid>eNp9kcFKAzEQhhdRUNSbDxDw4MXqJNnsbo5SWi1UBK1eQzaZ1dS1qUmq1Kc3WhFPzmWG4Zt_hvmL4ojCGQUmzxkwOhoDsIqLrWKPcdYMSlbX23_q3eIwxjnkkDVwUe8VDxfketUn96aD0wnJndG9WzySu3VM-EImkYxixEVyuifJk-GTDtokDO4DSXpCMgt-6fIMGa5N7xcYT8iti88HxU6n-4iHP3m_uB-PZsOrwfTmcjK8mA6MoFU50GhMI2sm6qqkINvOokWE2lpthQRuRK5QSy5tV6LsqJYUWqSsBVYiGL5fTDa61uu5Wgb3osNaee3Ud8OHR6VDcqZHBYBUIpoWeVU2Xdvk-fwHJlohbc1t1jreaC2Df11hTGruV2GRz1esqqRomGCQqdMNZYKPMWD3u5WC-jJC_TUi42yDv7se1_-yajSeMQq85J-GGoia</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2669582520</pqid></control><display><type>article</type><title>A Multivariate Scaling System Is Essential to Characterize the Tropical Cyclones' Risk</title><source>ProQuest - Publicly Available Content Database</source><source>Wiley Open Access</source><creator>Alipour, Atieh ; Yarveysi, Farnaz ; Moftakhari, Hamed ; Song, Jae Yeol ; Moradkhani, Hamid</creator><creatorcontrib>Alipour, Atieh ; Yarveysi, Farnaz ; Moftakhari, Hamed ; Song, Jae Yeol ; Moradkhani, Hamid</creatorcontrib><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><identifier>ISSN: 2328-4277</identifier><identifier>EISSN: 2328-4277</identifier><identifier>DOI: 10.1029/2021EF002635</identifier><language>eng</language><publisher>Bognor Regis: John Wiley &amp; 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 &amp; 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 &amp; Geoastrophysical Abstracts</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural &amp; 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 &amp; 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 &amp; Geoastrophysical Abstracts - Academic</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; 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 &amp; 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>
fulltext fulltext
identifier ISSN: 2328-4277
ispartof Earth's future, 2022-05, Vol.10 (5), p.n/a
issn 2328-4277
2328-4277
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_00e19eecbe3648fb8e0c00925b59d73d
source ProQuest - Publicly Available Content Database; Wiley Open Access
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T12%3A42%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Multivariate%20Scaling%20System%20Is%20Essential%20to%20Characterize%20the%20Tropical%20Cyclones'%20Risk&rft.jtitle=Earth's%20future&rft.au=Alipour,%20Atieh&rft.date=2022-05&rft.volume=10&rft.issue=5&rft.epage=n/a&rft.issn=2328-4277&rft.eissn=2328-4277&rft_id=info:doi/10.1029/2021EF002635&rft_dat=%3Cproquest_doaj_%3E2669582520%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c5164-aecc89725764109bfdedee07ddad5903c5ddaea939df4e9f1a910be12b024e0c3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2669582520&rft_id=info:pmid/&rfr_iscdi=true