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    Physical Factors Influencing Regional Precipitation Variability Attributed Using an Airmass Trajectory Method

    Source: Journal of Climate:;2017:;volume( 030 ):;issue: 018::page 7359
    Author:
    de Leeuw, Johannes;Methven, John;Blackburn, Michael
    DOI: 10.1175/JCLI-D-16-0547.1
    Publisher: American Meteorological Society
    Abstract: AbstractA novel Lagrangian framework is developed to attribute monthly precipitation variability to physical processes. Precipitation variability is partitioned into a combination of five factors: airmass origin location, origin surface temperature variation, ascent intensity, mass fraction of ascending air, and the number of ?wet? analysis times per month [>1 mm (6 h)?1]. Precipitation in a target region is linked to ?origin? locations of air masses where the water vapor mixing ratio was last set by boundary layer moistening and is a maximum along back trajectories. Applying the technique to the England and Wales region, the factors together account for 83%?89% of the observed summer precipitation variability. The dominant contributor is the number of wet analyses, which is shown to be associated with cyclone statistics. The wettest summer months are mainly associated with anomalous cyclone duration rather than the number of cyclones. In addition, surface temperature and saturation humidity at the origin locations are found to be below their climatological averages (1979?2013). Therefore, the direct thermodynamic effect of anomalous surface temperature on marine boundary layer humidity acts to reduce monthly precipitation anomalies. The decadal precipitation change between phases of the Atlantic multidecadal oscillation is approximately 20% of the interannual variability between summer months. Changes in cyclone statistics have an effect 6 times larger than the direct thermodynamic factor in both monthly and decadal precipitation variability.
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      Physical Factors Influencing Regional Precipitation Variability Attributed Using an Airmass Trajectory Method

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4246043
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    contributor authorde Leeuw, Johannes;Methven, John;Blackburn, Michael
    date accessioned2018-01-03T11:00:52Z
    date available2018-01-03T11:00:52Z
    date copyright6/15/2017 12:00:00 AM
    date issued2017
    identifier otherjcli-d-16-0547.1.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4246043
    description abstractAbstractA novel Lagrangian framework is developed to attribute monthly precipitation variability to physical processes. Precipitation variability is partitioned into a combination of five factors: airmass origin location, origin surface temperature variation, ascent intensity, mass fraction of ascending air, and the number of ?wet? analysis times per month [>1 mm (6 h)?1]. Precipitation in a target region is linked to ?origin? locations of air masses where the water vapor mixing ratio was last set by boundary layer moistening and is a maximum along back trajectories. Applying the technique to the England and Wales region, the factors together account for 83%?89% of the observed summer precipitation variability. The dominant contributor is the number of wet analyses, which is shown to be associated with cyclone statistics. The wettest summer months are mainly associated with anomalous cyclone duration rather than the number of cyclones. In addition, surface temperature and saturation humidity at the origin locations are found to be below their climatological averages (1979?2013). Therefore, the direct thermodynamic effect of anomalous surface temperature on marine boundary layer humidity acts to reduce monthly precipitation anomalies. The decadal precipitation change between phases of the Atlantic multidecadal oscillation is approximately 20% of the interannual variability between summer months. Changes in cyclone statistics have an effect 6 times larger than the direct thermodynamic factor in both monthly and decadal precipitation variability.
    publisherAmerican Meteorological Society
    titlePhysical Factors Influencing Regional Precipitation Variability Attributed Using an Airmass Trajectory Method
    typeJournal Paper
    journal volume30
    journal issue18
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-16-0547.1
    journal fristpage7359
    journal lastpage7378
    treeJournal of Climate:;2017:;volume( 030 ):;issue: 018
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian