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    Relationships between Deep Convection Updraft Characteristics and Satellite-Based Super Rapid Scan Mesoscale Atmospheric Motion Vector–Derived Flow

    Source: Monthly Weather Review:;2018:;volume 146:;issue 010::page 3461
    Author:
    Apke, Jason M.
    ,
    Mecikalski, John R.
    ,
    Bedka, Kristopher
    ,
    McCaul, Eugene W.
    ,
    Homeyer, Cameron R.
    ,
    Jewett, Christopher P.
    DOI: 10.1175/MWR-D-18-0119.1
    Publisher: American Meteorological Society
    Abstract: AbstractRapid acceleration of cloud-top outflow near vigorous storm updrafts can be readily observed in Geostationary Operational Environmental Satellite-14 (GOES-14) super rapid scan (SRS; 60 s) mode data. Conventional wisdom implies that this outflow is related to the intensity of updrafts and the formation of severe weather. However, from an SRS satellite perspective, the pairing of observed expansion and updraft intensity has not been objectively derived and documented. The goal of this study is to relate GOES-14 SRS-derived cloud-top horizontal divergence (CTD) over deep convection to internal updraft characteristics, and document evolution for severe and nonsevere thunderstorms. A new SRS flow derivation system is presented here to estimate storm-scale (<20 km) CTD. This CTD field is coupled with other proxies for storm updraft location and intensity such as overshooting tops (OTs), total lightning flash rates, and three-dimensional flow fields derived from dual-Doppler radar data. Objectively identified OTs with (without) matching CTD maxima were more (less) likely to be associated with radar-observed deep convection and severe weather reports at the ground, suggesting that some OTs were incorrectly identified. The correlation between CTD magnitude, maximum updraft speed, and total lightning was strongly positive for a nonsupercell pulse storm, and weakly positive for a supercell with multiple updraft pulses present. The relationship for the supercell was nonlinear, though larger flash rates are found during periods of larger CTD. Analysis here suggests that combining CTD with OTs and total lightning could have severe weather nowcasting value.
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      Relationships between Deep Convection Updraft Characteristics and Satellite-Based Super Rapid Scan Mesoscale Atmospheric Motion Vector–Derived Flow

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4261340
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    • Monthly Weather Review

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    contributor authorApke, Jason M.
    contributor authorMecikalski, John R.
    contributor authorBedka, Kristopher
    contributor authorMcCaul, Eugene W.
    contributor authorHomeyer, Cameron R.
    contributor authorJewett, Christopher P.
    date accessioned2019-09-19T10:05:05Z
    date available2019-09-19T10:05:05Z
    date copyright8/24/2018 12:00:00 AM
    date issued2018
    identifier othermwr-d-18-0119.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4261340
    description abstractAbstractRapid acceleration of cloud-top outflow near vigorous storm updrafts can be readily observed in Geostationary Operational Environmental Satellite-14 (GOES-14) super rapid scan (SRS; 60 s) mode data. Conventional wisdom implies that this outflow is related to the intensity of updrafts and the formation of severe weather. However, from an SRS satellite perspective, the pairing of observed expansion and updraft intensity has not been objectively derived and documented. The goal of this study is to relate GOES-14 SRS-derived cloud-top horizontal divergence (CTD) over deep convection to internal updraft characteristics, and document evolution for severe and nonsevere thunderstorms. A new SRS flow derivation system is presented here to estimate storm-scale (<20 km) CTD. This CTD field is coupled with other proxies for storm updraft location and intensity such as overshooting tops (OTs), total lightning flash rates, and three-dimensional flow fields derived from dual-Doppler radar data. Objectively identified OTs with (without) matching CTD maxima were more (less) likely to be associated with radar-observed deep convection and severe weather reports at the ground, suggesting that some OTs were incorrectly identified. The correlation between CTD magnitude, maximum updraft speed, and total lightning was strongly positive for a nonsupercell pulse storm, and weakly positive for a supercell with multiple updraft pulses present. The relationship for the supercell was nonlinear, though larger flash rates are found during periods of larger CTD. Analysis here suggests that combining CTD with OTs and total lightning could have severe weather nowcasting value.
    publisherAmerican Meteorological Society
    titleRelationships between Deep Convection Updraft Characteristics and Satellite-Based Super Rapid Scan Mesoscale Atmospheric Motion Vector–Derived Flow
    typeJournal Paper
    journal volume146
    journal issue10
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR-D-18-0119.1
    journal fristpage3461
    journal lastpage3480
    treeMonthly Weather Review:;2018:;volume 146:;issue 010
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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