ANALYSIS OF RAINFALL VARIABILITY IN OSOGBO, OSUN STATE USING REMOTE SENSED DATA FROM 1993 TO 2023
DOI:
https://doi.org/10.65760/Keywords:
Rainfall, Variability, Remote Sensing, Climate Change and Season.Abstract
This study investigated rainfall variability in Osogbo, Nigeria, over a 31-year period (1993-2023) using
CHIRPS remote sensing data. The research analyzed patterns and fluctuations in annual, seasonal, and
monthly rainfall across 20 locations within the study area. Utilizing geospatial tools and statistical techniques,
the study revealed notable differences in rainfall distribution both over time and between locations. Results
showed that 2019 recorded the highest annual rainfall, while 2021 experienced the lowest, highlighting
significant inter-annual variability. Seasonal rainfall patterns remained relatively stable, though certain years
exhibited marked deviations. Monthly analysis identified September as the most variable month in terms of
rainfall, while December had the lowest values of rainfall. Spatial analysis further showed that the following
areas: GRA, Oke Oniti, and Osun River received higher amount of rainfall, compared to Boripe and
Conference Hall experienced lower values. These findings underscore the complex and dynamic nature of
Osogbo’s rainfall regime.
