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    Features of Extreme Precipitation at Progress Station, Antarctica

    Source: Journal of Climate:;2018:;volume 031:;issue 022::page 9087
    Author:
    Yu, Lejiang
    ,
    Yang, Qinghua
    ,
    Vihma, Timo
    ,
    Jagovkina, Svetlana
    ,
    Liu, Jiping
    ,
    Sun, Qizhen
    ,
    Li, Yubin
    DOI: 10.1175/JCLI-D-18-0128.1
    Publisher: American Meteorological Society
    Abstract: AbstractObserved daily precipitation data were used to investigate the characteristics of precipitation at Antarctic Progress Station and synoptic patterns associated with extreme precipitation events during the period 2003?16. The annual precipitation, annual number of extreme precipitation events, and amount of precipitation during the extreme events have positive trends. The distribution of precipitation at Progress Station is heavily skewed with a long tail of extreme dry days and a high peak of extreme wet days. The synoptic pattern associated with extreme precipitation events is a dipole structure of negative and positive height anomalies to the west and east of Progress Station, respectively, resulting in water vapor advection to the station. For the first time, we apply self-organizing maps (SOMs) to examine thermodynamic and dynamic perspectives of trends in the frequency of occurrence of Antarctic extreme precipitation events. The changes in thermodynamic (noncirculation) processes explain 80% of the trend, followed by the changes in the interaction between thermodynamic and dynamic processes, which account for nearly 25% of the trend. The changes in dynamic processes make a negative (less than 5%) contribution to the trend. The positive trend in total column water vapor over the Southern Ocean explains the change of thermodynamic term.
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      Features of Extreme Precipitation at Progress Station, Antarctica

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4260699
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    contributor authorYu, Lejiang
    contributor authorYang, Qinghua
    contributor authorVihma, Timo
    contributor authorJagovkina, Svetlana
    contributor authorLiu, Jiping
    contributor authorSun, Qizhen
    contributor authorLi, Yubin
    date accessioned2019-09-19T10:01:26Z
    date available2019-09-19T10:01:26Z
    date copyright9/14/2018 12:00:00 AM
    date issued2018
    identifier otherjcli-d-18-0128.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4260699
    description abstractAbstractObserved daily precipitation data were used to investigate the characteristics of precipitation at Antarctic Progress Station and synoptic patterns associated with extreme precipitation events during the period 2003?16. The annual precipitation, annual number of extreme precipitation events, and amount of precipitation during the extreme events have positive trends. The distribution of precipitation at Progress Station is heavily skewed with a long tail of extreme dry days and a high peak of extreme wet days. The synoptic pattern associated with extreme precipitation events is a dipole structure of negative and positive height anomalies to the west and east of Progress Station, respectively, resulting in water vapor advection to the station. For the first time, we apply self-organizing maps (SOMs) to examine thermodynamic and dynamic perspectives of trends in the frequency of occurrence of Antarctic extreme precipitation events. The changes in thermodynamic (noncirculation) processes explain 80% of the trend, followed by the changes in the interaction between thermodynamic and dynamic processes, which account for nearly 25% of the trend. The changes in dynamic processes make a negative (less than 5%) contribution to the trend. The positive trend in total column water vapor over the Southern Ocean explains the change of thermodynamic term.
    publisherAmerican Meteorological Society
    titleFeatures of Extreme Precipitation at Progress Station, Antarctica
    typeJournal Paper
    journal volume31
    journal issue22
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-18-0128.1
    journal fristpage9087
    journal lastpage9105
    treeJournal of Climate:;2018:;volume 031:;issue 022
    contenttypeFulltext
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