YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Journal of Applied Meteorology and Climatology
    • View Item
    •   YE&T Library
    • AMS
    • Journal of Applied Meteorology and Climatology
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    U.K. Rainfall Data: A Long-Term Persistence Approach

    Source: Journal of Applied Meteorology and Climatology:;2012:;volume( 051 ):;issue: 010::page 1904
    Author:
    Gil-Alana, Luis A.
    DOI: 10.1175/JAMC-D-11-0201.1
    Publisher: American Meteorological Society
    Abstract: his paper looks at the analysis of U.K. monthly rainfall data from a long-term persistence viewpoint. Different modeling approaches are considered, taking into account the strong dependence and the seasonality in the data. The results indicate that the most appropriate model is the one that presents cyclical long-run dependence with the order of integration being positive though small, and the cycles having a periodicity of about a year.
    • Download: (728.4Kb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Statistics

      U.K. Rainfall Data: A Long-Term Persistence Approach

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4216835
    Collections
    • Journal of Applied Meteorology and Climatology

    Show full item record

    contributor authorGil-Alana, Luis A.
    date accessioned2017-06-09T16:48:47Z
    date available2017-06-09T16:48:47Z
    date copyright2012/10/01
    date issued2012
    identifier issn1558-8424
    identifier otherams-74593.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4216835
    description abstracthis paper looks at the analysis of U.K. monthly rainfall data from a long-term persistence viewpoint. Different modeling approaches are considered, taking into account the strong dependence and the seasonality in the data. The results indicate that the most appropriate model is the one that presents cyclical long-run dependence with the order of integration being positive though small, and the cycles having a periodicity of about a year.
    publisherAmerican Meteorological Society
    titleU.K. Rainfall Data: A Long-Term Persistence Approach
    typeJournal Paper
    journal volume51
    journal issue10
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-11-0201.1
    journal fristpage1904
    journal lastpage1913
    treeJournal of Applied Meteorology and Climatology:;2012:;volume( 051 ):;issue: 010
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian