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    Seasonality of the Pacific Decadal Oscillation

    Source: Journal of Climate:;2011:;volume( 025 ):;issue: 001::page 25
    Author:
    Wang, Hui
    ,
    Kumar, Arun
    ,
    Wang, Wanqiu
    ,
    Xue, Yan
    DOI: 10.1175/2011JCLI4092.1
    Publisher: American Meteorological Society
    Abstract: he seasonality of the Pacific decadal oscillation (PDO) is examined using North Pacific sea surface temperature (SST) in observations and in a 480-yr simulation with the National Centers for Environmental Prediction (NCEP) Climate Forecast System (CFS) coupled model. The PDO, both in observations and in the CFS, shows similar seasonality, with increasing SST variance during spring and a maximum in late spring and early summer. The vertical structure of the ocean temperature anomaly associated with the PDO in the CFS displays a significant transition from a deep to a shallow structure during late spring, consistent with the seasonal variation of the mean ocean mixed layer depth (MLD). An analysis of atmospheric surface wind and SST anomalies from the CFS simulation indicates that there is a 1-month delay in the PDO-related SST response to the atmospheric wind forcing. The results based on the CFS simulation are generally consistent with observations, including both atmospheric data from the NCEP/Department of Energy (DOE) Global Reanalysis 2 (GR-2) and ocean data from the NCEP Global Ocean Data Assimilation System (GODAS). The 1-month delay together with the seasonal variation of the mean MLD tends to amplify the PDO-related SST response to the atmospheric surface wind in late spring to early summer, and the combination leads to the maximum variability of the PDO, which is a 3-month delay from the peak phase of the surface wind in February and March.
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      Seasonality of the Pacific Decadal Oscillation

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    contributor authorWang, Hui
    contributor authorKumar, Arun
    contributor authorWang, Wanqiu
    contributor authorXue, Yan
    date accessioned2017-06-09T16:40:13Z
    date available2017-06-09T16:40:13Z
    date copyright2012/01/01
    date issued2011
    identifier issn0894-8755
    identifier otherams-71904.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4213848
    description abstracthe seasonality of the Pacific decadal oscillation (PDO) is examined using North Pacific sea surface temperature (SST) in observations and in a 480-yr simulation with the National Centers for Environmental Prediction (NCEP) Climate Forecast System (CFS) coupled model. The PDO, both in observations and in the CFS, shows similar seasonality, with increasing SST variance during spring and a maximum in late spring and early summer. The vertical structure of the ocean temperature anomaly associated with the PDO in the CFS displays a significant transition from a deep to a shallow structure during late spring, consistent with the seasonal variation of the mean ocean mixed layer depth (MLD). An analysis of atmospheric surface wind and SST anomalies from the CFS simulation indicates that there is a 1-month delay in the PDO-related SST response to the atmospheric wind forcing. The results based on the CFS simulation are generally consistent with observations, including both atmospheric data from the NCEP/Department of Energy (DOE) Global Reanalysis 2 (GR-2) and ocean data from the NCEP Global Ocean Data Assimilation System (GODAS). The 1-month delay together with the seasonal variation of the mean MLD tends to amplify the PDO-related SST response to the atmospheric surface wind in late spring to early summer, and the combination leads to the maximum variability of the PDO, which is a 3-month delay from the peak phase of the surface wind in February and March.
    publisherAmerican Meteorological Society
    titleSeasonality of the Pacific Decadal Oscillation
    typeJournal Paper
    journal volume25
    journal issue1
    journal titleJournal of Climate
    identifier doi10.1175/2011JCLI4092.1
    journal fristpage25
    journal lastpage38
    treeJournal of Climate:;2011:;volume( 025 ):;issue: 001
    contenttypeFulltext
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