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    Predictability of Java Monsoon Rainfall Anomalies: A Case Study

    Source: Journal of Climate and Applied Meteorology:;1987:;Volume( 026 ):;Issue: 001::page 133
    Author:
    Hastenrath, Stefan
    DOI: 10.1175/1520-0450(1987)026<0133:POJMRA>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: A substantial portion of the interannual variability of rainfall at Jakarta, Java, can be predicted from antecedent pressure anomalies at Darwin, northern Australia; the pressure persistence, the concurrent correlation of pressure and rainfall, and the predictability of rainfall from antecedent pressure are all largest during the ?east? monsoon (June-November). Because of the relatively simple large-scale circulation setting, warranting a single predictor (Darwin pressure), this region is chosen for a series of experiments aimed at exploring the seasonality and secular variations of predictability, optimal length of dependent record, and updating of the regression base period used for predictions on the independent data set. The major features of pressure-rainfall relationships are common through much of the 1911?83 record, namely sign and general magnitude of correlations and the closer relationships during the east, as compared to the west monsoon. Considerable differences are, however, apparent between decades. Them may stem from both sampling deficiencies (noise) and real long-term changes of the pressure-rainfall couplings due to secular alterations in the large-scale circulation setting. The competition between these two factors is relevant concerning the optimal length of the dependent record used for predictions into the independent data set, as well as the updating of the regression base period.
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      Predictability of Java Monsoon Rainfall Anomalies: A Case Study

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4146323
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    contributor authorHastenrath, Stefan
    date accessioned2017-06-09T14:01:37Z
    date available2017-06-09T14:01:37Z
    date copyright1987/01/01
    date issued1987
    identifier issn0733-3021
    identifier otherams-11129.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4146323
    description abstractA substantial portion of the interannual variability of rainfall at Jakarta, Java, can be predicted from antecedent pressure anomalies at Darwin, northern Australia; the pressure persistence, the concurrent correlation of pressure and rainfall, and the predictability of rainfall from antecedent pressure are all largest during the ?east? monsoon (June-November). Because of the relatively simple large-scale circulation setting, warranting a single predictor (Darwin pressure), this region is chosen for a series of experiments aimed at exploring the seasonality and secular variations of predictability, optimal length of dependent record, and updating of the regression base period used for predictions on the independent data set. The major features of pressure-rainfall relationships are common through much of the 1911?83 record, namely sign and general magnitude of correlations and the closer relationships during the east, as compared to the west monsoon. Considerable differences are, however, apparent between decades. Them may stem from both sampling deficiencies (noise) and real long-term changes of the pressure-rainfall couplings due to secular alterations in the large-scale circulation setting. The competition between these two factors is relevant concerning the optimal length of the dependent record used for predictions into the independent data set, as well as the updating of the regression base period.
    publisherAmerican Meteorological Society
    titlePredictability of Java Monsoon Rainfall Anomalies: A Case Study
    typeJournal Paper
    journal volume26
    journal issue1
    journal titleJournal of Climate and Applied Meteorology
    identifier doi10.1175/1520-0450(1987)026<0133:POJMRA>2.0.CO;2
    journal fristpage133
    journal lastpage141
    treeJournal of Climate and Applied Meteorology:;1987:;Volume( 026 ):;Issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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