Analysis of Kano Meteorological Data using Time Series Analysis and Empirical Orthogonal Functions

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dc.contributor.authorAliyu, R.
dc.contributor.authorTijjani, B. I.
dc.contributor.authorGana, U. M.
dc.contributor.authorBala, S.
dc.contributor.authorSharafa, S. B.
dc.contributor.authorUba, S.
dc.contributor.authorAuwalu, S.
dc.contributor.authorYerima, S. U.
dc.contributor.authorAbdulkarim, U. Y.
dc.contributor.authorIdris, M.
dc.date.accessioned2026-04-17T21:18:28Z
dc.date.available2026-04-17T21:18:28Z
dc.date.issued2020
dc.description.abstractIn this work, two different statistical techniques were used to analyses the meteorological data of Kano State. The meteorological parameters utilized are daily Solar Radiations, Sunshine Hours, wind speed, Maximum and Minimum Temperatures, Rainfall, Cloud Cover, and Relative Humidity, data spanning for thirty-one years (1980 to 2010). The statistical analysis involves the use of time series analysis and empirical orthogonal functions. In the time series analysis (TS) all the parameters are assumed independent. The second is the Empirical Orthogonal Transformation (EOF) in which the data were analyzed using unrotated and orthogonal transformations and six components were extracted. From component matrices, it is discovered that there are two distinct season as Rainy and Dry seasons. The rainy season has two components comprising heavy rain and light rain, while the dry season comprises of three different types of seasons. The period of heavy rain is around 3.3 months and period of light rain is 1.6 month. These gives a total of 4.9 months for rainy season and 7.1 months for dry season. The values of the eigen values are consistent with what is observed in real-time of seven (7.1) months of dry season and (4.7) months of rainy season. Now combining the two results, it can be said that the TS analysis show that all the parameters have seasonal variation, and the EOF now described the two seasons quantitatively
dc.description.sponsorshipNot Applicable
dc.identifier.issn2705 - 3512
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/123456789/17314
dc.language.isoen
dc.publisherFACULTY OF SCIENCE, KANO UNIVERSITY OF SCIENCE AND TECHNOLOGY, WUDIL
dc.subjectmeteorological data
dc.subjectregression analysis
dc.subjecttime series analysis
dc.subjectempirical orthogonal transformations
dc.subjectoblique transformations
dc.titleAnalysis of Kano Meteorological Data using Time Series Analysis and Empirical Orthogonal Functions
dc.typeArticle

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