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    Low-Level Jets over Utö, Finland, Based on Doppler Lidar Observations

    Source: Journal of Applied Meteorology and Climatology:;2017:;volume( 056 ):;issue: 009::page 2577
    Author:
    Tuononen, Minttu;O’Connor, Ewan J.;Sinclair, Victoria A.;Vakkari, Ville
    DOI: 10.1175/JAMC-D-16-0411.1
    Publisher: American Meteorological Society
    Abstract: AbstractOver two years of meteorological observations from Utö, a small island in the Finnish outer archipelago in the Baltic Sea, were used to investigate the occurrence and characteristics of low-level jets (LLJs) and the diurnal and seasonal variations in these properties. An objective LLJ identification algorithm that is suitable for high-temporal-and-vertical-resolution Doppler lidar data was created and applied to wind profiles obtained from a combination of Doppler lidar data and two-dimensional sonic anemometer observations. This algorithm was designed to identify coherent LLJ structures and requires that they persist for at least 1 h. The long-term mean LLJ frequency of occurrence at Utö was 12%, the mean LLJ wind speed was 11.6 m s?1, and the vast majority of identified LLJs occurred below 150 m above ground level. The LLJ frequency of occurrence was much higher during summer (21%) and spring (18%) than in autumn (8%) and winter (3%). During winter and spring, the LLJ frequency of occurrence is evenly distributed throughout the day. In contrast, the LLJ frequency of occurrence peaks at night (1900?0100 UTC) during summer and during the evening hours (1700?1900 UTC) in autumn. The highest and strongest LLJs come from the southwest, which is also the predominant LLJ direction in all seasons. LLJs below 100 m are common in spring and summer, are weaker, and do not show a strong directional dependence.
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      Low-Level Jets over Utö, Finland, Based on Doppler Lidar Observations

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4246202
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    contributor authorTuononen, Minttu;O’Connor, Ewan J.;Sinclair, Victoria A.;Vakkari, Ville
    date accessioned2018-01-03T11:01:32Z
    date available2018-01-03T11:01:32Z
    date copyright7/19/2017 12:00:00 AM
    date issued2017
    identifier otherjamc-d-16-0411.1.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4246202
    description abstractAbstractOver two years of meteorological observations from Utö, a small island in the Finnish outer archipelago in the Baltic Sea, were used to investigate the occurrence and characteristics of low-level jets (LLJs) and the diurnal and seasonal variations in these properties. An objective LLJ identification algorithm that is suitable for high-temporal-and-vertical-resolution Doppler lidar data was created and applied to wind profiles obtained from a combination of Doppler lidar data and two-dimensional sonic anemometer observations. This algorithm was designed to identify coherent LLJ structures and requires that they persist for at least 1 h. The long-term mean LLJ frequency of occurrence at Utö was 12%, the mean LLJ wind speed was 11.6 m s?1, and the vast majority of identified LLJs occurred below 150 m above ground level. The LLJ frequency of occurrence was much higher during summer (21%) and spring (18%) than in autumn (8%) and winter (3%). During winter and spring, the LLJ frequency of occurrence is evenly distributed throughout the day. In contrast, the LLJ frequency of occurrence peaks at night (1900?0100 UTC) during summer and during the evening hours (1700?1900 UTC) in autumn. The highest and strongest LLJs come from the southwest, which is also the predominant LLJ direction in all seasons. LLJs below 100 m are common in spring and summer, are weaker, and do not show a strong directional dependence.
    publisherAmerican Meteorological Society
    titleLow-Level Jets over Utö, Finland, Based on Doppler Lidar Observations
    typeJournal Paper
    journal volume56
    journal issue9
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-16-0411.1
    journal fristpage2577
    journal lastpage2594
    treeJournal of Applied Meteorology and Climatology:;2017:;volume( 056 ):;issue: 009
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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