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    Statistical Methods for Persistent Precipitation Patterns

    Source: Journal of Applied Meteorology:;1965:;volume( 004 ):;issue: 003::page 320
    Author:
    Feyerherm, A. M.
    ,
    Bark, L. Dean
    DOI: 10.1175/1520-0450(1965)004<0320:SMFPPP>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Procedures are developed to estimate the probability of occurrence for a given consecutive sequence of wet and dry days which begins with a specified day of the year. A good first approximation for such a probability can be obtained by assuming that the sequence can be described as a first order Markov chain. Initial and transition probabilities in the Markov chain model are estimated so as to reflect seasonal variation.
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      Statistical Methods for Persistent Precipitation Patterns

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4214101
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    contributor authorFeyerherm, A. M.
    contributor authorBark, L. Dean
    date accessioned2017-06-09T16:40:56Z
    date available2017-06-09T16:40:56Z
    date copyright1965/06/01
    date issued1965
    identifier issn0021-8952
    identifier otherams-7213.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4214101
    description abstractProcedures are developed to estimate the probability of occurrence for a given consecutive sequence of wet and dry days which begins with a specified day of the year. A good first approximation for such a probability can be obtained by assuming that the sequence can be described as a first order Markov chain. Initial and transition probabilities in the Markov chain model are estimated so as to reflect seasonal variation.
    publisherAmerican Meteorological Society
    titleStatistical Methods for Persistent Precipitation Patterns
    typeJournal Paper
    journal volume4
    journal issue3
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(1965)004<0320:SMFPPP>2.0.CO;2
    journal fristpage320
    journal lastpage328
    treeJournal of Applied Meteorology:;1965:;volume( 004 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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