• Login
    • Login
    Advanced Search
    View Item 
    •   UoN Digital Repository Home
    • Theses and Dissertations
    • Faculty of Science & Technology (FST)
    • View Item
    •   UoN Digital Repository Home
    • Theses and Dissertations
    • Faculty of Science & Technology (FST)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Inter annual variability of medium level circulation and Its association with seasonal rainfall over equatorial East Africa.

    Thumbnail
    Date
    2006
    Author
    Mwangi, Wanjiru M
    Type
    Thesis
    Language
    en
    Metadata
    Show full item record

    Abstract
    This study was an attempt to explore the role of atmospheric circulation and its predictive association or linkage with seasonal rainfall over Equatorial Eat Africa. The data used in the study included the NCEP/NCAR reanalysis wind data, the CRU global rainfall data and station rainfall data for the three East African countries comprising Kenya, Uganda and Tanzania. The study period extended from 1961-1998. In order to assess the association between atmospheric circulation and the seasonal rainfall over the domain of this study, statistical methods were adopted. These included quality control, standardization of anomaly indices and correlation analysis. Results from the quality control tests indicated that the data used in the study were of good quality. The standardized rainfall data were used to compare the year to year rainfall patterns. It was evident from the normalized rainfall indices that occurrences of droughts and floods are common over East Africa and that some of the extreme rainfall events coincide with certain phases of the zonal wind, the u component. The correlation between the u wind component and the seasonal rainfall index during the short rainfall season over the area 40oE-50oE; 5~-5°S was significant. It was concluded from the study that there is a possible linkage between the OND rainfall index and the u wind component over the location 40oE-50oE; 5~-5°S within the area of study. Such information will help improve monitoring, prediction and early warning of extreme rainfall events over the region of study. It was also concluded from the predictive potentials of the study that the month of January could be used to predict the long rainfall season. However the short rainfall season did not show any predictive potential.
    URI
    http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/20823
    Citation
    Master of Science in Meteorology
    Sponsorhip
    University of Nairobi
    Publisher
    Department of Meteorology University of Nairobi
    Collections
    • Faculty of Science & Technology (FST) [4213]

    Copyright © 2022 
    University of Nairobi Library
    Contact Us | Send Feedback

     

     

    Useful Links
    UON HomeLibrary HomeKLISC

    Browse

    All of UoN Digital RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Copyright © 2022 
    University of Nairobi Library
    Contact Us | Send Feedback