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    A Global Quasigeostrophic Diagnosis of Extratropical Extreme Precipitation

    Source: Journal of Climate:;2020:;volume( 33 ):;issue: 022::page 9629
    Author:
    Dai, Panxi;Nie, Ji
    DOI: 10.1175/JCLI-D-20-0146.1
    Publisher: American Meteorological Society
    Abstract: This paper presents a global picture of the dynamic processes and synoptic characteristics of extratropical extreme precipitation events (EPEs), defined as annual maximum daily precipitation averaged over 7.5° × 7.5° regional boxes. Based on the quasigeostrophic omega equation, extreme precipitation can be decomposed into components forced by large-scale adiabatic disturbances and amplified by diabatic heating feedback. The spatial distribution of the diabatic feedback parameter is largely controlled by atmospheric precipitable water and captured by a simple model. Most spatial heterogeneities of EPEs in the middle and high latitudes are due to the spatial variations of large-scale adiabatic forcing. The adiabatic component includes the processes of vorticity advection, in which the synoptic vorticity advection by background wind dominates; temperature advection, in which the total meridional temperature advection by synoptic wind dominates; and boundary forcing. The synoptic patterns of EPEs in all extratropical regions can be classified into six clusters using the self-organizing map method: two clusters in low latitudes and four clusters in middle and high latitudes. Synoptic disturbances are characterized by strong pressure anomalies throughout the troposphere over the coastal regions and oceans and feature upper-level shortwave disturbances and a large westward tilt with height over land. Synoptic configurations favor moisture transport from ocean to land over coastal regions.
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      A Global Quasigeostrophic Diagnosis of Extratropical Extreme Precipitation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4264337
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    contributor authorDai, Panxi;Nie, Ji
    date accessioned2022-01-30T18:00:30Z
    date available2022-01-30T18:00:30Z
    date copyright10/7/2020 12:00:00 AM
    date issued2020
    identifier issn0894-8755
    identifier otherjclid200146.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4264337
    description abstractThis paper presents a global picture of the dynamic processes and synoptic characteristics of extratropical extreme precipitation events (EPEs), defined as annual maximum daily precipitation averaged over 7.5° × 7.5° regional boxes. Based on the quasigeostrophic omega equation, extreme precipitation can be decomposed into components forced by large-scale adiabatic disturbances and amplified by diabatic heating feedback. The spatial distribution of the diabatic feedback parameter is largely controlled by atmospheric precipitable water and captured by a simple model. Most spatial heterogeneities of EPEs in the middle and high latitudes are due to the spatial variations of large-scale adiabatic forcing. The adiabatic component includes the processes of vorticity advection, in which the synoptic vorticity advection by background wind dominates; temperature advection, in which the total meridional temperature advection by synoptic wind dominates; and boundary forcing. The synoptic patterns of EPEs in all extratropical regions can be classified into six clusters using the self-organizing map method: two clusters in low latitudes and four clusters in middle and high latitudes. Synoptic disturbances are characterized by strong pressure anomalies throughout the troposphere over the coastal regions and oceans and feature upper-level shortwave disturbances and a large westward tilt with height over land. Synoptic configurations favor moisture transport from ocean to land over coastal regions.
    publisherAmerican Meteorological Society
    titleA Global Quasigeostrophic Diagnosis of Extratropical Extreme Precipitation
    typeJournal Paper
    journal volume33
    journal issue22
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-20-0146.1
    journal fristpage9629
    journal lastpage9642
    treeJournal of Climate:;2020:;volume( 33 ):;issue: 022
    contenttypeFulltext
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