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    Empirical Modeling of Layered Integrated Water Vapor Using Surface Mixing Ratio in Nigeria

    Source: Journal of Applied Meteorology and Climatology:;2009:;volume( 048 ):;issue: 002::page 369
    Author:
    Adeyemi, B.
    DOI: 10.1175/2008JAMC1929.1
    Publisher: American Meteorological Society
    Abstract: Using the available upper-air data for three stations in Nigeria (Lagos, a coastal station; Minna, an inland station; and Kano, a sub-Sahelian station), an intensive examination has been carried out on the linkage between surface mixing ratio rs and layered integrated water vapor W (g cm?2) over Nigeria. The goal was to identify the seasonal distribution of the parameter and to develop models that can best be used to estimate W from surface mixing ratio. To achieve these objectives, integrated water vapor at the low level (WL), midlevel (Wm), and upper level (Wu) and total column integrated water WT have been calculated using daily values of upper-air data spanning over a decade from the above three radiosonde stations. A relationship of the form W = αrs + ? (where α and ? are constants) has been established between W and rs using the analysis-of-variance (ANOVA) technique. Tests carried out on the models, using daily soundings made in 1990 for Lagos, 1983 for Minna, and 1991 for Kano, respectively, gave encouraging results as established by the use of Kolmogorov?Smirnov tests. Owing to the difference in the climatological patterns of precipitation among the different regions in Nigeria (i.e., southern, midland, and northern regions) as represented by the three stations, no single relationship was found to be suitable for the entire country of Nigeria. Earlier models, generally of the form W = αqb (where α and b are constants and q is specific humidity), were found to be less adequate over the stations.
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      Empirical Modeling of Layered Integrated Water Vapor Using Surface Mixing Ratio in Nigeria

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    contributor authorAdeyemi, B.
    date accessioned2017-06-09T16:22:27Z
    date available2017-06-09T16:22:27Z
    date copyright2009/02/01
    date issued2009
    identifier issn1558-8424
    identifier otherams-66687.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4208050
    description abstractUsing the available upper-air data for three stations in Nigeria (Lagos, a coastal station; Minna, an inland station; and Kano, a sub-Sahelian station), an intensive examination has been carried out on the linkage between surface mixing ratio rs and layered integrated water vapor W (g cm?2) over Nigeria. The goal was to identify the seasonal distribution of the parameter and to develop models that can best be used to estimate W from surface mixing ratio. To achieve these objectives, integrated water vapor at the low level (WL), midlevel (Wm), and upper level (Wu) and total column integrated water WT have been calculated using daily values of upper-air data spanning over a decade from the above three radiosonde stations. A relationship of the form W = αrs + ? (where α and ? are constants) has been established between W and rs using the analysis-of-variance (ANOVA) technique. Tests carried out on the models, using daily soundings made in 1990 for Lagos, 1983 for Minna, and 1991 for Kano, respectively, gave encouraging results as established by the use of Kolmogorov?Smirnov tests. Owing to the difference in the climatological patterns of precipitation among the different regions in Nigeria (i.e., southern, midland, and northern regions) as represented by the three stations, no single relationship was found to be suitable for the entire country of Nigeria. Earlier models, generally of the form W = αqb (where α and b are constants and q is specific humidity), were found to be less adequate over the stations.
    publisherAmerican Meteorological Society
    titleEmpirical Modeling of Layered Integrated Water Vapor Using Surface Mixing Ratio in Nigeria
    typeJournal Paper
    journal volume48
    journal issue2
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/2008JAMC1929.1
    journal fristpage369
    journal lastpage380
    treeJournal of Applied Meteorology and Climatology:;2009:;volume( 048 ):;issue: 002
    contenttypeFulltext
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