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    The Definition of GOES Infrared Lightning Initiation Interest Fields

    Source: Journal of Applied Meteorology and Climatology:;2010:;volume( 049 ):;issue: 012::page 2527
    Author:
    Harris, Ryan J.
    ,
    Mecikalski, John R.
    ,
    MacKenzie, Wayne M.
    ,
    Durkee, Philip A.
    ,
    Nielsen, Kurt E.
    DOI: 10.1175/2010JAMC2575.1
    Publisher: American Meteorological Society
    Abstract: Within cumulus cloud fields that develop in conditionally unstable air masses, only a fraction of the cumuli may eventually develop into deep convection. Identifying which of these convective clouds is most likely to generate lightning often starts with little more than a qualitative visual satellite analysis. The goal of this study is to identify the observed satellite infrared (IR) signatures associated with growing cumulus clouds prior to the first lightning strike, or lightning initiation (LI). This study quantifies the behavior of 10 Geostationary Operational Environmental Satellite-12 (GOES-12) IR fields of interest in the 1 h in advance of LI. A total of 172 lightning-producing storms, which occurred during the 2009 convective season, are manually tracked and studied over four regions: northern Alabama, central Oklahoma, the Kennedy Space Center, and Washington, D.C. Four-dimensional and cloud-to-ground lightning array data provide a total cloud lightning picture (in-cloud, cloud-to-cloud, cloud-to-air, and cloud-to-ground) and thus precise LI points for each storm in both time and space. Statistical significance tests are conducted on observed trends for each of the 10 LI fields to determine the unique information each field provides in terms of behavior prior to LI. Eight out of 10 LI fields exhibited useful information at least 15 min in advance of LI, with 35 min being the average. Statistical tests on these eight fields are compared for separate large geographical areas. Median IR temperatures and 3.9-?m reflectance values are then determined for all 172 events as an outcome, which may be valuable when implementing a LI prediction algorithm into real-time satellite-based systems.
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      The Definition of GOES Infrared Lightning Initiation Interest Fields

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4211873
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    contributor authorHarris, Ryan J.
    contributor authorMecikalski, John R.
    contributor authorMacKenzie, Wayne M.
    contributor authorDurkee, Philip A.
    contributor authorNielsen, Kurt E.
    date accessioned2017-06-09T16:34:06Z
    date available2017-06-09T16:34:06Z
    date copyright2010/12/01
    date issued2010
    identifier issn1558-8424
    identifier otherams-70126.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4211873
    description abstractWithin cumulus cloud fields that develop in conditionally unstable air masses, only a fraction of the cumuli may eventually develop into deep convection. Identifying which of these convective clouds is most likely to generate lightning often starts with little more than a qualitative visual satellite analysis. The goal of this study is to identify the observed satellite infrared (IR) signatures associated with growing cumulus clouds prior to the first lightning strike, or lightning initiation (LI). This study quantifies the behavior of 10 Geostationary Operational Environmental Satellite-12 (GOES-12) IR fields of interest in the 1 h in advance of LI. A total of 172 lightning-producing storms, which occurred during the 2009 convective season, are manually tracked and studied over four regions: northern Alabama, central Oklahoma, the Kennedy Space Center, and Washington, D.C. Four-dimensional and cloud-to-ground lightning array data provide a total cloud lightning picture (in-cloud, cloud-to-cloud, cloud-to-air, and cloud-to-ground) and thus precise LI points for each storm in both time and space. Statistical significance tests are conducted on observed trends for each of the 10 LI fields to determine the unique information each field provides in terms of behavior prior to LI. Eight out of 10 LI fields exhibited useful information at least 15 min in advance of LI, with 35 min being the average. Statistical tests on these eight fields are compared for separate large geographical areas. Median IR temperatures and 3.9-?m reflectance values are then determined for all 172 events as an outcome, which may be valuable when implementing a LI prediction algorithm into real-time satellite-based systems.
    publisherAmerican Meteorological Society
    titleThe Definition of GOES Infrared Lightning Initiation Interest Fields
    typeJournal Paper
    journal volume49
    journal issue12
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/2010JAMC2575.1
    journal fristpage2527
    journal lastpage2543
    treeJournal of Applied Meteorology and Climatology:;2010:;volume( 049 ):;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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