Computational Analysis of Meteorological Data of Ikeja Lagos State Using the EOF Analysis
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Date
2024
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Faculty of Computing and Information Technology and Faculty of Natural and Applied Science, Sule lamido University, Kafin Hausa, Jigawa State, Nigeria.
Abstract
In this work, empirical orthogonal transformation (EOF) is used to analyse the meteorological data of Ikeja Lagos State. The meteorological Also, when comparison was made on the wet seasons of all components, with minimal rainfall, high windspeed, zero SSH, and zero Tmax shows that the air is humic at all the three components. For the dry season, it could be observed that the highest month realized is at the first component while the month in component 5 is minimal. Also high and minimal amount of Tmax, Solar Radiation, and SSH were seen on the first and fifths component respectively which, shows that the dry season is very hot at component one and cold at component five When rotation was performed on the data a Comparison was also performed on all components (wet season) and this shows that the months realizes on each are same (1.1) other futures in common are Tmax, rainfall, which shows that the wet season is cold. parameters utilized were monthly Solar radiations, sunshine hours, wind speed, maximum and minimum temperatures, rainfall, cloud cover, and relative humidity, with a data spanning forty-three (43) years (1980 to 2023). The data was analysed using unrotated data and three orthogonal transformations (Varimax, Quatimax, and Equamax) where seven components were extracted. From component matrices, it was discovered that there are two distinct seasons: A rainy or wet and dry. The period of wet determined to be around 7.2 months and for the dry season, as 4.9 months. These values determined are consistent with what is observed in real-time of 7.0 months of wet season and 5.0 months of dry season. This shows that EOF describe the two seasons quantitatively.
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Keywords
Empirical orthogonal transformations, Meteorological data, Regression analysis, Ikeja, Nigeria