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    Airborne Radar Observations of Lake-Effect Snowbands over the New York Finger Lakes

    Source: Monthly Weather Review:;2016:;volume( 144 ):;issue: 010::page 3895
    Author:
    Bergmaier, Philip T.
    ,
    Geerts, Bart
    DOI: 10.1175/MWR-D-16-0103.1
    Publisher: American Meteorological Society
    Abstract: he vast majority of lake-effect snow research throughout the years has focused on the North American Great Lakes since they are often associated with strong lake-effect events that produce heavy downstream snowfall. This study investigates a lake-effect snow event that instead occurred over two smaller lakes, the New York Finger Lakes, which are just O(5) km wide and O(50) km long. A pair of well-defined snowbands that formed over Seneca and Cayuga Lakes, the two largest of the Finger Lakes, were sampled from above by a vertically pointing Doppler radar and lidar on board the University of Wyoming King Air (UWKA). With typical widths matching the widths of the lakes, and depths of less than 1000 m, the long-lake-axis-parallel bands were actually quite intense for their size. For example, updrafts of 2?3 m s?1 or greater within the band cores were common, and reflectivity occasionally exceeded 5 dBZ. Airborne dual-Doppler data show that both bands were sometimes accompanied by a well-defined thermally driven secondary circulation. Lidar data reveal that the Cayuga Lake band contained significantly more liquid water than the band over Seneca Lake, which was composed mainly of ice. Dissipating lake-effect ice clouds, carried downstream from Lake Ontario toward Seneca Lake, likely seeded the emerging convection over Seneca Lake, resulting in an accelerated depletion of liquid in the Seneca Lake band via more efficient snow growth.
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      Airborne Radar Observations of Lake-Effect Snowbands over the New York Finger Lakes

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    contributor authorBergmaier, Philip T.
    contributor authorGeerts, Bart
    date accessioned2017-06-09T17:34:04Z
    date available2017-06-09T17:34:04Z
    date copyright2016/10/01
    date issued2016
    identifier issn0027-0644
    identifier otherams-87307.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4230962
    description abstracthe vast majority of lake-effect snow research throughout the years has focused on the North American Great Lakes since they are often associated with strong lake-effect events that produce heavy downstream snowfall. This study investigates a lake-effect snow event that instead occurred over two smaller lakes, the New York Finger Lakes, which are just O(5) km wide and O(50) km long. A pair of well-defined snowbands that formed over Seneca and Cayuga Lakes, the two largest of the Finger Lakes, were sampled from above by a vertically pointing Doppler radar and lidar on board the University of Wyoming King Air (UWKA). With typical widths matching the widths of the lakes, and depths of less than 1000 m, the long-lake-axis-parallel bands were actually quite intense for their size. For example, updrafts of 2?3 m s?1 or greater within the band cores were common, and reflectivity occasionally exceeded 5 dBZ. Airborne dual-Doppler data show that both bands were sometimes accompanied by a well-defined thermally driven secondary circulation. Lidar data reveal that the Cayuga Lake band contained significantly more liquid water than the band over Seneca Lake, which was composed mainly of ice. Dissipating lake-effect ice clouds, carried downstream from Lake Ontario toward Seneca Lake, likely seeded the emerging convection over Seneca Lake, resulting in an accelerated depletion of liquid in the Seneca Lake band via more efficient snow growth.
    publisherAmerican Meteorological Society
    titleAirborne Radar Observations of Lake-Effect Snowbands over the New York Finger Lakes
    typeJournal Paper
    journal volume144
    journal issue10
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR-D-16-0103.1
    journal fristpage3895
    journal lastpage3914
    treeMonthly Weather Review:;2016:;volume( 144 ):;issue: 010
    contenttypeFulltext
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