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Evaluating Hail Damage Using Property Insurance Claims Data
A series of thunderstorms on 24 May 2011 produced significant hail in the Dallas–Fort Worth (DFW) metroplex, resulting in an estimated $876.8 million (U.S. dollars) in insured losses to property and automobiles, according to the Texas Department of Insurance. Insurance claims and policy-in-force dat...
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Published in: | Weather, climate, and society climate, and society, 2015-07, Vol.7 (3), p.197-210 |
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description | A series of thunderstorms on 24 May 2011 produced significant hail in the Dallas–Fort Worth (DFW) metroplex, resulting in an estimated $876.8 million (U.S. dollars) in insured losses to property and automobiles, according to the Texas Department of Insurance. Insurance claims and policy-in-force data were obtained from five insurance companies for more than 67000 residential properties located in 20 ZIP codes. The methodology for selecting the 20 ZIP codes is described. This study evaluates roofing material type with regard to resiliency to hailstone impacts and relative damage costs associated with roofing systems versus wall systems. A comparison of Weather Surveillance Radar-1988 Doppler (WSR-88D) radar-estimated hail sizes and damage levels seen in the claims data is made. Recommendations for improved data collection and quality of insurance claims data, as well as guidance for future property insurance claims studies, are summarized. Studies such as these allow insurance underwriters and claims adjusters to better evaluate the relative performance and vulnerability of various roofing systems and other building components as a function of hail size. They also highlight the abilities and limitations of utilizing radar horizontal reflectivity-based hail sizes, local storm reports, andStorm Datafor claims processing. Large studies of this kind may be able to provide guidance to consumers, designers, and contractors concerning building product selections for improved resiliency to hailstorms, and give a glimpse into how product performance varies with storm exposure. Reducing hail losses would reduce the financial burden on property owners and insurers and reduce the amount of building materials being disposed of after storms. |
doi_str_mv | 10.1175/WCAS-D-15-0011.1 |
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Insurance claims and policy-in-force data were obtained from five insurance companies for more than 67000 residential properties located in 20 ZIP codes. The methodology for selecting the 20 ZIP codes is described. This study evaluates roofing material type with regard to resiliency to hailstone impacts and relative damage costs associated with roofing systems versus wall systems. A comparison of Weather Surveillance Radar-1988 Doppler (WSR-88D) radar-estimated hail sizes and damage levels seen in the claims data is made. Recommendations for improved data collection and quality of insurance claims data, as well as guidance for future property insurance claims studies, are summarized. Studies such as these allow insurance underwriters and claims adjusters to better evaluate the relative performance and vulnerability of various roofing systems and other building components as a function of hail size. They also highlight the abilities and limitations of utilizing radar horizontal reflectivity-based hail sizes, local storm reports, andStorm Datafor claims processing. Large studies of this kind may be able to provide guidance to consumers, designers, and contractors concerning building product selections for improved resiliency to hailstorms, and give a glimpse into how product performance varies with storm exposure. Reducing hail losses would reduce the financial burden on property owners and insurers and reduce the amount of building materials being disposed of after storms.</description><identifier>ISSN: 1948-8327</identifier><identifier>ISSN: 1948-8335</identifier><identifier>EISSN: 1948-8335</identifier><identifier>EISSN: 1948-8327</identifier><identifier>DOI: 10.1175/WCAS-D-15-0011.1</identifier><language>eng</language><publisher>Boston: American Meteorological Society</publisher><subject>Automobiles ; Automotive parts ; Building components ; Building materials ; Construction materials ; Contractors ; Damage assessment ; Data ; Data collection ; Data processing ; Doppler sonar ; Hail ; Hail damage ; Hailstones ; Hailstorms ; Impact damage ; Insurance ; Insurance claims ; Insurance companies ; Insurance industry ; Motor vehicles ; Policies ; Property & casualty insurance ; Property damage ; Property insurance ; Radar ; Reflectance ; Residential location ; Resilience ; Risk management ; Roofing ; Storm damage ; Storm data ; Storms ; Surveillance radar ; Thunderstorms ; Vulnerability</subject><ispartof>Weather, climate, and society, 2015-07, Vol.7 (3), p.197-210</ispartof><rights>2015 American Meteorological Society</rights><rights>Copyright American Meteorological Society Jul 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c368t-f6f663ad757bf79ae9d3b97f90ae3528193f9c13ddcf5c7e4bba423163143baf3</citedby><cites>FETCH-LOGICAL-c368t-f6f663ad757bf79ae9d3b97f90ae3528193f9c13ddcf5c7e4bba423163143baf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/24907452$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/24907452$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,27922,27923,58236,58469</link.rule.ids></links><search><creatorcontrib>Brown, Tanya M.</creatorcontrib><creatorcontrib>Pogorzelski, William H.</creatorcontrib><creatorcontrib>Giammanco, Ian M.</creatorcontrib><title>Evaluating Hail Damage Using Property Insurance Claims Data</title><title>Weather, climate, and society</title><description>A series of thunderstorms on 24 May 2011 produced significant hail in the Dallas–Fort Worth (DFW) metroplex, resulting in an estimated $876.8 million (U.S. dollars) in insured losses to property and automobiles, according to the Texas Department of Insurance. Insurance claims and policy-in-force data were obtained from five insurance companies for more than 67000 residential properties located in 20 ZIP codes. The methodology for selecting the 20 ZIP codes is described. This study evaluates roofing material type with regard to resiliency to hailstone impacts and relative damage costs associated with roofing systems versus wall systems. A comparison of Weather Surveillance Radar-1988 Doppler (WSR-88D) radar-estimated hail sizes and damage levels seen in the claims data is made. Recommendations for improved data collection and quality of insurance claims data, as well as guidance for future property insurance claims studies, are summarized. Studies such as these allow insurance underwriters and claims adjusters to better evaluate the relative performance and vulnerability of various roofing systems and other building components as a function of hail size. They also highlight the abilities and limitations of utilizing radar horizontal reflectivity-based hail sizes, local storm reports, andStorm Datafor claims processing. Large studies of this kind may be able to provide guidance to consumers, designers, and contractors concerning building product selections for improved resiliency to hailstorms, and give a glimpse into how product performance varies with storm exposure. Reducing hail losses would reduce the financial burden on property owners and insurers and reduce the amount of building materials being disposed of after storms.</description><subject>Automobiles</subject><subject>Automotive parts</subject><subject>Building components</subject><subject>Building materials</subject><subject>Construction materials</subject><subject>Contractors</subject><subject>Damage assessment</subject><subject>Data</subject><subject>Data collection</subject><subject>Data processing</subject><subject>Doppler sonar</subject><subject>Hail</subject><subject>Hail damage</subject><subject>Hailstones</subject><subject>Hailstorms</subject><subject>Impact damage</subject><subject>Insurance</subject><subject>Insurance claims</subject><subject>Insurance companies</subject><subject>Insurance industry</subject><subject>Motor vehicles</subject><subject>Policies</subject><subject>Property & casualty insurance</subject><subject>Property damage</subject><subject>Property insurance</subject><subject>Radar</subject><subject>Reflectance</subject><subject>Residential location</subject><subject>Resilience</subject><subject>Risk management</subject><subject>Roofing</subject><subject>Storm damage</subject><subject>Storm data</subject><subject>Storms</subject><subject>Surveillance radar</subject><subject>Thunderstorms</subject><subject>Vulnerability</subject><issn>1948-8327</issn><issn>1948-8335</issn><issn>1948-8335</issn><issn>1948-8327</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNpdkE1Lw0AQhhdRsGjvXoSAFy-pO7vZbBZPJa22UFDQ4nGZJLslJR91NxH6702o9OBcZhiedxgeQu6AzgCkePpK5x_hIgQRUgowgwsyARUlYcK5uDzPTF6Tqfd7OpSIZMLYhDwvf7DqsSubXbDCsgoWWOPOBFs_bt5dezCuOwbrxvcOm9wEaYVl7Qesw1tyZbHyZvrXb8j2ZfmZrsLN2-s6nW_CnMdJF9rYxjHHQgqZWanQqIJnSlpF0XDBElDcqhx4UeRW5NJEWYYR4xBziHiGlt-Qx9Pdg2u_e-M7XZc-N1WFjWl7r0FyoRgoqQb04R-6b3vXDN9pUCyWKuYKBoqeqNy13jtj9cGVNbqjBqpHoXoUqhcahB6F6jFyf4rsfde6M88iRWUkGP8FRhxw4w</recordid><startdate>20150701</startdate><enddate>20150701</enddate><creator>Brown, Tanya M.</creator><creator>Pogorzelski, William H.</creator><creator>Giammanco, Ian M.</creator><general>American Meteorological Society</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7TG</scope><scope>7UA</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>H96</scope><scope>H97</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20150701</creationdate><title>Evaluating Hail Damage Using Property Insurance Claims Data</title><author>Brown, Tanya M. ; Pogorzelski, William H. ; Giammanco, Ian M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-f6f663ad757bf79ae9d3b97f90ae3528193f9c13ddcf5c7e4bba423163143baf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Automobiles</topic><topic>Automotive parts</topic><topic>Building components</topic><topic>Building materials</topic><topic>Construction materials</topic><topic>Contractors</topic><topic>Damage assessment</topic><topic>Data</topic><topic>Data collection</topic><topic>Data processing</topic><topic>Doppler sonar</topic><topic>Hail</topic><topic>Hail damage</topic><topic>Hailstones</topic><topic>Hailstorms</topic><topic>Impact damage</topic><topic>Insurance</topic><topic>Insurance claims</topic><topic>Insurance companies</topic><topic>Insurance industry</topic><topic>Motor vehicles</topic><topic>Policies</topic><topic>Property & casualty insurance</topic><topic>Property damage</topic><topic>Property insurance</topic><topic>Radar</topic><topic>Reflectance</topic><topic>Residential location</topic><topic>Resilience</topic><topic>Risk management</topic><topic>Roofing</topic><topic>Storm damage</topic><topic>Storm data</topic><topic>Storms</topic><topic>Surveillance radar</topic><topic>Thunderstorms</topic><topic>Vulnerability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Brown, Tanya M.</creatorcontrib><creatorcontrib>Pogorzelski, William H.</creatorcontrib><creatorcontrib>Giammanco, Ian M.</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</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</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Weather, climate, and society</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Brown, Tanya M.</au><au>Pogorzelski, William H.</au><au>Giammanco, Ian M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluating Hail Damage Using Property Insurance Claims Data</atitle><jtitle>Weather, climate, and society</jtitle><date>2015-07-01</date><risdate>2015</risdate><volume>7</volume><issue>3</issue><spage>197</spage><epage>210</epage><pages>197-210</pages><issn>1948-8327</issn><issn>1948-8335</issn><eissn>1948-8335</eissn><eissn>1948-8327</eissn><abstract>A series of thunderstorms on 24 May 2011 produced significant hail in the Dallas–Fort Worth (DFW) metroplex, resulting in an estimated $876.8 million (U.S. dollars) in insured losses to property and automobiles, according to the Texas Department of Insurance. Insurance claims and policy-in-force data were obtained from five insurance companies for more than 67000 residential properties located in 20 ZIP codes. The methodology for selecting the 20 ZIP codes is described. This study evaluates roofing material type with regard to resiliency to hailstone impacts and relative damage costs associated with roofing systems versus wall systems. A comparison of Weather Surveillance Radar-1988 Doppler (WSR-88D) radar-estimated hail sizes and damage levels seen in the claims data is made. Recommendations for improved data collection and quality of insurance claims data, as well as guidance for future property insurance claims studies, are summarized. Studies such as these allow insurance underwriters and claims adjusters to better evaluate the relative performance and vulnerability of various roofing systems and other building components as a function of hail size. They also highlight the abilities and limitations of utilizing radar horizontal reflectivity-based hail sizes, local storm reports, andStorm Datafor claims processing. Large studies of this kind may be able to provide guidance to consumers, designers, and contractors concerning building product selections for improved resiliency to hailstorms, and give a glimpse into how product performance varies with storm exposure. Reducing hail losses would reduce the financial burden on property owners and insurers and reduce the amount of building materials being disposed of after storms.</abstract><cop>Boston</cop><pub>American Meteorological Society</pub><doi>10.1175/WCAS-D-15-0011.1</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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source | JSTOR Archival Journals and Primary Sources Collection |
subjects | Automobiles Automotive parts Building components Building materials Construction materials Contractors Damage assessment Data Data collection Data processing Doppler sonar Hail Hail damage Hailstones Hailstorms Impact damage Insurance Insurance claims Insurance companies Insurance industry Motor vehicles Policies Property & casualty insurance Property damage Property insurance Radar Reflectance Residential location Resilience Risk management Roofing Storm damage Storm data Storms Surveillance radar Thunderstorms Vulnerability |
title | Evaluating Hail Damage Using Property Insurance Claims Data |
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