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    Rapid-Update Radar Observations of ZDR Column Depth and Its Use in the Warning Decision Process

    Source: Weather and Forecasting:;2019:;volume 034:;issue 004::page 1173
    Author:
    Kuster, Charles M.
    ,
    Snyder, Jeffrey C.
    ,
    Schuur, Terry J.
    ,
    Lindley, T. Todd
    ,
    Heinselman, Pamela L.
    ,
    Furtado, Jason C.
    ,
    Brogden, Jeff W.
    ,
    Toomey, Robert
    DOI: 10.1175/WAF-D-19-0024.1
    Publisher: American Meteorological Society
    Abstract: AbstractThe recent dual-polarization upgrade to the National Weather Service radar network provides forecasters with new information to use during operations, yet currently this information is not routinely used to explicitly make warning decisions. One potential way to increase operational use is to link new radar signatures and products to existing forecaster conceptual models and the warning decision process. Over the past several years, a unique dataset consisting of rapid-update (<2-min volumes) radar data of storms over central Oklahoma has been collected to examine possible links between ZDR columns and forecaster conceptual models. In total, over 1400 volume scans from 42 storms?ranging from tornadic supercells to nonsevere multicells?are used to relate ZDR column depth to storm reports and radar signatures typically used to issue warnings, such as ?20°C reflectivity core and low-level mesocyclone evolution. After completing the analysis, the following key operational findings emerged: 1) no clear differences exist between the ZDR column depth of tornadic and nontornadic mesocyclones, but statistically significant differences do exist between severe and nonsevere storms, 2) the lead time in advance of severe hail and wind reports provided by peaks in ZDR column depth is greater than that provided by peaks in ?20°C reflectivity cores, 3) increases in ZDR column size precede increases in ?20°C reflectivity core size by about 3.5?9.0 min, and 4) rapid-update volumetric data captures signature evolution several minutes earlier than conventional-update data therefore providing forecasters more time to anticipate hazards and issue warnings.
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      Rapid-Update Radar Observations of ZDR Column Depth and Its Use in the Warning Decision Process

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4263319
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    contributor authorKuster, Charles M.
    contributor authorSnyder, Jeffrey C.
    contributor authorSchuur, Terry J.
    contributor authorLindley, T. Todd
    contributor authorHeinselman, Pamela L.
    contributor authorFurtado, Jason C.
    contributor authorBrogden, Jeff W.
    contributor authorToomey, Robert
    date accessioned2019-10-05T06:45:24Z
    date available2019-10-05T06:45:24Z
    date copyright6/10/2019 12:00:00 AM
    date issued2019
    identifier otherWAF-D-19-0024.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4263319
    description abstractAbstractThe recent dual-polarization upgrade to the National Weather Service radar network provides forecasters with new information to use during operations, yet currently this information is not routinely used to explicitly make warning decisions. One potential way to increase operational use is to link new radar signatures and products to existing forecaster conceptual models and the warning decision process. Over the past several years, a unique dataset consisting of rapid-update (<2-min volumes) radar data of storms over central Oklahoma has been collected to examine possible links between ZDR columns and forecaster conceptual models. In total, over 1400 volume scans from 42 storms?ranging from tornadic supercells to nonsevere multicells?are used to relate ZDR column depth to storm reports and radar signatures typically used to issue warnings, such as ?20°C reflectivity core and low-level mesocyclone evolution. After completing the analysis, the following key operational findings emerged: 1) no clear differences exist between the ZDR column depth of tornadic and nontornadic mesocyclones, but statistically significant differences do exist between severe and nonsevere storms, 2) the lead time in advance of severe hail and wind reports provided by peaks in ZDR column depth is greater than that provided by peaks in ?20°C reflectivity cores, 3) increases in ZDR column size precede increases in ?20°C reflectivity core size by about 3.5?9.0 min, and 4) rapid-update volumetric data captures signature evolution several minutes earlier than conventional-update data therefore providing forecasters more time to anticipate hazards and issue warnings.
    publisherAmerican Meteorological Society
    titleRapid-Update Radar Observations of ZDR Column Depth and Its Use in the Warning Decision Process
    typeJournal Paper
    journal volume34
    journal issue4
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF-D-19-0024.1
    journal fristpage1173
    journal lastpage1188
    treeWeather and Forecasting:;2019:;volume 034:;issue 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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