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    Quantification of Long-Range Dependence in Hydroclimatic Time Series: A Method-Comparison Study

    Source: Journal of Applied Meteorology and Climatology:;2023:;volume( 062 ):;issue: 012::page 1921
    Author:
    Niu, Jingyi
    ,
    Xie, Ping
    ,
    Sang, Yan-Fang
    ,
    Zhang, Liping
    ,
    Wu, Linqian
    ,
    Zhu, Yanxin
    ,
    Sivakumar, Bellie
    ,
    Huo, Jingqun
    ,
    Chen, Deliang
    DOI: 10.1175/JAMC-D-23-0129.1
    Publisher: American Meteorological Society
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      Quantification of Long-Range Dependence in Hydroclimatic Time Series: A Method-Comparison Study

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4300481
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    • Journal of Applied Meteorology and Climatology

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    contributor authorNiu, Jingyi
    contributor authorXie, Ping
    contributor authorSang, Yan-Fang
    contributor authorZhang, Liping
    contributor authorWu, Linqian
    contributor authorZhu, Yanxin
    contributor authorSivakumar, Bellie
    contributor authorHuo, Jingqun
    contributor authorChen, Deliang
    date accessioned2024-12-24T14:17:15Z
    date available2024-12-24T14:17:15Z
    date copyright01 Dec. 2023
    date issued2023
    identifier otherapme-JAMC-D-23-0129.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4300481
    languageEnglish
    publisherAmerican Meteorological Society
    titleQuantification of Long-Range Dependence in Hydroclimatic Time Series: A Method-Comparison Study
    typeJournal Paper
    journal volume62
    journal issue12
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-23-0129.1
    journal fristpage1921
    journal lastpage1942
    treeJournal of Applied Meteorology and Climatology:;2023:;volume( 062 ):;issue: 012
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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