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    The Contribution of Boreal Spring South Pacific Atmospheric Variability to El Niño Occurrence

    Source: Journal of Climate:;2020:;volume( 33 ):;issue: 019::page 8301
    Author:
    Min, Qingye;Zhang, Renhe
    DOI: 10.1175/JCLI-D-20-0122.1
    Publisher: American Meteorological Society
    Abstract: Despite the fact that great efforts have been made to improve the prediction of El Niño events, it remains challenging because of limited understanding of El Niño and its precursors. This research focuses on the influence of South Pacific atmospheric variability on the development of the sea surface temperature anomaly (SSTA) in the tropical Pacific. It is found that as early as in the boreal spring of El Niño years, the sea level pressure anomaly (SLPA) shows a configuration characterized by two significant negative anomaly centers in the north and a positive anomaly center in the south between the subtropics and high latitudes in South Pacific. Such an anomalous SLPA pattern becomes stronger in the following late boreal spring and summer associated with the strengthening of westerly anomalies in the tropical Pacific, weakening the southeasterly trade winds and promoting the warming of tropical eastern Pacific, which is conducive to the development of El Niño events. It is demonstrated that the SLPA pattern in boreal spring revealed in this study is closely associated with boreal summer South Pacific Oscillation (SPO) and South Pacific meridional mode (SPMM). As a precursor in boreal spring, the prediction skill of the South Pacific SLPA in boreal spring for the SSTA in the eastern equatorial Pacific is better than that of the SPMM. This study is helpful to deepen our understanding of the contribution of South Pacific extratropical atmospheric variability to El Niño occurrence.
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      The Contribution of Boreal Spring South Pacific Atmospheric Variability to El Niño Occurrence

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4264330
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    contributor authorMin, Qingye;Zhang, Renhe
    date accessioned2022-01-30T18:00:06Z
    date available2022-01-30T18:00:06Z
    date copyright8/26/2020 12:00:00 AM
    date issued2020
    identifier issn0894-8755
    identifier otherjclid200122.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4264330
    description abstractDespite the fact that great efforts have been made to improve the prediction of El Niño events, it remains challenging because of limited understanding of El Niño and its precursors. This research focuses on the influence of South Pacific atmospheric variability on the development of the sea surface temperature anomaly (SSTA) in the tropical Pacific. It is found that as early as in the boreal spring of El Niño years, the sea level pressure anomaly (SLPA) shows a configuration characterized by two significant negative anomaly centers in the north and a positive anomaly center in the south between the subtropics and high latitudes in South Pacific. Such an anomalous SLPA pattern becomes stronger in the following late boreal spring and summer associated with the strengthening of westerly anomalies in the tropical Pacific, weakening the southeasterly trade winds and promoting the warming of tropical eastern Pacific, which is conducive to the development of El Niño events. It is demonstrated that the SLPA pattern in boreal spring revealed in this study is closely associated with boreal summer South Pacific Oscillation (SPO) and South Pacific meridional mode (SPMM). As a precursor in boreal spring, the prediction skill of the South Pacific SLPA in boreal spring for the SSTA in the eastern equatorial Pacific is better than that of the SPMM. This study is helpful to deepen our understanding of the contribution of South Pacific extratropical atmospheric variability to El Niño occurrence.
    publisherAmerican Meteorological Society
    titleThe Contribution of Boreal Spring South Pacific Atmospheric Variability to El Niño Occurrence
    typeJournal Paper
    journal volume33
    journal issue19
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-20-0122.1
    journal fristpage8301
    journal lastpage8313
    treeJournal of Climate:;2020:;volume( 33 ):;issue: 019
    contenttypeFulltext
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