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- W1567196396 abstract "Interpolation technique can be used to establish the rainfall data at the location of interest from available data. There are many interpolation methods in use with various limitations and likelihood of errors. This study applied five interpolation methods to existing rainfall data in central Nigeria to determine the most appropriate method that returned the best prediction of rainfall at an ungauged site. The methods include the inverse distance wieight method and four variants of universal kriging (spherical,exponential,gaussian and power). The Guassian model of Kriging yielded the least root mean square error for monthly rainfall interpolation and is therefore recommended for use on monthly rainfall data in Nigeria. Key Words: Rainfall, Boxplots, Kriging, Interpolation,Variograms, Gaussian" @default.
- W1567196396 created "2016-06-24" @default.
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- W1567196396 date "2015-05-18" @default.
- W1567196396 modified "2023-09-26" @default.
- W1567196396 title "Selection of an Appropriate Interpolation Method for Rainfall Data In Central Nigeria" @default.
- W1567196396 doi "https://doi.org/10.4314/ejesm.v8i4.7" @default.
- W1567196396 hasPublicationYear "2015" @default.
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