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    Trends and Periodicities in East African Rainfall Data

    Source: Monthly Weather Review:;1976:;volume( 104 ):;issue: 003::page 307
    Author:
    Rodhe, H.
    ,
    Virji, H.
    DOI: 10.1175/1520-0493(1976)104<0307:TAPIEA>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Annual rainfall values from 35 stations in parts of East Africa (Kenya, northern Tanzania, and south-eastern Uganda) are analyzed for trend, periodicities, and variability. The data cover time periods ranging from 44 to 83 years. After normalizing the series by dividing by the long-term mean, areal averaged series are constructed. Spectral analysis by the Blackman-Tukey method shows in most cases peaks at frequencies corresponding to the following time periods: 2?2.5, about 3.5, and 5?5.5 years. The area distribution and the statistical significance of these peaks are briefly discussed. Smoothing by binomial coefficients is applied to the data series to filter out short period fluctuations. The resulting series show no definite long term trends, except possibly at some stations in northern Kenya where a trend towards increased precipitation in the recent years is indicated.
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      Trends and Periodicities in East African Rainfall Data

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4199384
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    contributor authorRodhe, H.
    contributor authorVirji, H.
    date accessioned2017-06-09T16:01:06Z
    date available2017-06-09T16:01:06Z
    date copyright1976/03/01
    date issued1976
    identifier issn0027-0644
    identifier otherams-58888.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4199384
    description abstractAnnual rainfall values from 35 stations in parts of East Africa (Kenya, northern Tanzania, and south-eastern Uganda) are analyzed for trend, periodicities, and variability. The data cover time periods ranging from 44 to 83 years. After normalizing the series by dividing by the long-term mean, areal averaged series are constructed. Spectral analysis by the Blackman-Tukey method shows in most cases peaks at frequencies corresponding to the following time periods: 2?2.5, about 3.5, and 5?5.5 years. The area distribution and the statistical significance of these peaks are briefly discussed. Smoothing by binomial coefficients is applied to the data series to filter out short period fluctuations. The resulting series show no definite long term trends, except possibly at some stations in northern Kenya where a trend towards increased precipitation in the recent years is indicated.
    publisherAmerican Meteorological Society
    titleTrends and Periodicities in East African Rainfall Data
    typeJournal Paper
    journal volume104
    journal issue3
    journal titleMonthly Weather Review
    identifier doi10.1175/1520-0493(1976)104<0307:TAPIEA>2.0.CO;2
    journal fristpage307
    journal lastpage315
    treeMonthly Weather Review:;1976:;volume( 104 ):;issue: 003
    contenttypeFulltext
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