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    Data and Approaches for Determining Hail Risk in the Contiguous United States

    Source: Journal of Applied Meteorology:;1999:;volume( 038 ):;issue: 012::page 1730
    Author:
    Changnon, Stanley A.
    DOI: 10.1175/1520-0450(1999)038<1730:DAAFDH>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Rapidly increasing hail damages to property have brought average annual losses to $1.2 billion (in 1997-adjusted dollars) during the 1990s; this rise in loss exposure has created great concern in the insurance industry and has led to efforts to define the hail risk across the nation. Since the property industry has not kept hail loss records, it must rely on available climatological data supplemented by data from field studies to assess hail risk. Hail risk at a point or over an area is a function of the target at risk (property or crop) and the hail frequency and intensity. Newly available climatological data based on historical hail records collected by the National Weather Service since 1900 have enhanced the ability to assess point risk. Some spatial risk assessments have combined point averages of hail-day frequencies with hailstone sizes to define risk, and others also employed hailstone volume (mass of ice) and wind associated with hail, based on data from field projects. Those seeking to define the spatial aspects of risk caused by very large hailstones, greater than 2.5 cm in diameter, have had to use area-based risk assessments since point data are too short to provide reliable frequencies of these rare events. Ongoing research is defining the hail damage characteristics for various structural surfaces and roofing materials for which most damage occurs. Crop insurance risk studies have combined that industry?s existing data on crop losses across the nation with long-term frequencies of hail days to generate crop?hail risk patterns for setting rates, and their data, which began in 1948, have been used to assess temporal variability of risk. These temporal assessments have relied also on long-term records of hail-day incidences, and both datasets show that the magnitudes of major features in average hail risk patterns fluctuate as much as 50% in any given 5- to 20-yr period, but that these features persist over time. Long-term trends of hail reveal increases in the High Plains and Southeast with decreases in the Midwest and West.
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      Data and Approaches for Determining Hail Risk in the Contiguous United States

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4148172
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    • Journal of Applied Meteorology

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    contributor authorChangnon, Stanley A.
    date accessioned2017-06-09T14:07:13Z
    date available2017-06-09T14:07:13Z
    date copyright1999/12/01
    date issued1999
    identifier issn0894-8763
    identifier otherams-12794.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4148172
    description abstractRapidly increasing hail damages to property have brought average annual losses to $1.2 billion (in 1997-adjusted dollars) during the 1990s; this rise in loss exposure has created great concern in the insurance industry and has led to efforts to define the hail risk across the nation. Since the property industry has not kept hail loss records, it must rely on available climatological data supplemented by data from field studies to assess hail risk. Hail risk at a point or over an area is a function of the target at risk (property or crop) and the hail frequency and intensity. Newly available climatological data based on historical hail records collected by the National Weather Service since 1900 have enhanced the ability to assess point risk. Some spatial risk assessments have combined point averages of hail-day frequencies with hailstone sizes to define risk, and others also employed hailstone volume (mass of ice) and wind associated with hail, based on data from field projects. Those seeking to define the spatial aspects of risk caused by very large hailstones, greater than 2.5 cm in diameter, have had to use area-based risk assessments since point data are too short to provide reliable frequencies of these rare events. Ongoing research is defining the hail damage characteristics for various structural surfaces and roofing materials for which most damage occurs. Crop insurance risk studies have combined that industry?s existing data on crop losses across the nation with long-term frequencies of hail days to generate crop?hail risk patterns for setting rates, and their data, which began in 1948, have been used to assess temporal variability of risk. These temporal assessments have relied also on long-term records of hail-day incidences, and both datasets show that the magnitudes of major features in average hail risk patterns fluctuate as much as 50% in any given 5- to 20-yr period, but that these features persist over time. Long-term trends of hail reveal increases in the High Plains and Southeast with decreases in the Midwest and West.
    publisherAmerican Meteorological Society
    titleData and Approaches for Determining Hail Risk in the Contiguous United States
    typeJournal Paper
    journal volume38
    journal issue12
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(1999)038<1730:DAAFDH>2.0.CO;2
    journal fristpage1730
    journal lastpage1739
    treeJournal of Applied Meteorology:;1999:;volume( 038 ):;issue: 012
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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