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    The Growth and Decay of Low-Frequency Anomalies in a GCM

    Source: Journal of the Atmospheric Sciences:;1998:;Volume( 055 ):;issue: 003::page 415
    Author:
    Feldstein, Steven
    DOI: 10.1175/1520-0469(1998)055<0415:TGADOL>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The temporal evolution of a regional-scale persistent low-frequency anomaly is examined with data from a 2100-day perpetual January general circulation model. The persistent episodes are determined with an objective analysis of the low-pass (>10 day) 350-mb streamfunction field that uses both pattern correlations and empirical orthogonal function (EOF) analysis. The composite evolution of each term in the streamfunction tendency equation is calculated relative to the onset day (the first day of the persistent episode). By projecting each term in the streamfunction tendency equation onto an EOF (the EOF is associated with a particular low-frequency anomaly), the contribution of these terms toward the tendency of the corresponding principal component can be obtained. It is found that the sum of the linear terms dominates during most of the growth and the decay of the low-frequency anomaly. The linear term that accounts for the growth and maintenance of the low-frequency anomaly is the interaction between the anomaly and the time-mean zonally asymmetric flow. After the anomaly attains sufficient amplitude, its decay is accomplished through the divergence term. For one phase of the EOF, it is found that the high-frequency transients prolong the anomaly, whereas in the other phase they do not. Implications of this study for examining monthly averaged anomalies are also discussed.
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      The Growth and Decay of Low-Frequency Anomalies in a GCM

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    contributor authorFeldstein, Steven
    date accessioned2017-06-09T14:34:51Z
    date available2017-06-09T14:34:51Z
    date copyright1998/02/01
    date issued1998
    identifier issn0022-4928
    identifier otherams-22113.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4158528
    description abstractThe temporal evolution of a regional-scale persistent low-frequency anomaly is examined with data from a 2100-day perpetual January general circulation model. The persistent episodes are determined with an objective analysis of the low-pass (>10 day) 350-mb streamfunction field that uses both pattern correlations and empirical orthogonal function (EOF) analysis. The composite evolution of each term in the streamfunction tendency equation is calculated relative to the onset day (the first day of the persistent episode). By projecting each term in the streamfunction tendency equation onto an EOF (the EOF is associated with a particular low-frequency anomaly), the contribution of these terms toward the tendency of the corresponding principal component can be obtained. It is found that the sum of the linear terms dominates during most of the growth and the decay of the low-frequency anomaly. The linear term that accounts for the growth and maintenance of the low-frequency anomaly is the interaction between the anomaly and the time-mean zonally asymmetric flow. After the anomaly attains sufficient amplitude, its decay is accomplished through the divergence term. For one phase of the EOF, it is found that the high-frequency transients prolong the anomaly, whereas in the other phase they do not. Implications of this study for examining monthly averaged anomalies are also discussed.
    publisherAmerican Meteorological Society
    titleThe Growth and Decay of Low-Frequency Anomalies in a GCM
    typeJournal Paper
    journal volume55
    journal issue3
    journal titleJournal of the Atmospheric Sciences
    identifier doi10.1175/1520-0469(1998)055<0415:TGADOL>2.0.CO;2
    journal fristpage415
    journal lastpage428
    treeJournal of the Atmospheric Sciences:;1998:;Volume( 055 ):;issue: 003
    contenttypeFulltext
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