godswilllazu/rainfall-prediction

The purpose of this study is to develop and evaluate a strong geophysics machine learning model capable of accurately predicting rain patterns in Nigeria for the last 10 years. The purpose of this study is to develop and evaluate a strong geophysics machine learning model capable of accurately predicting rain patterns in Nigeria for the last 10 years. In particular, the purpose of this research is: - Build a locally clear model: to create a model that captu res complex spatial variations in rainfall in Nigeria by integrating various geophysical datasets, including satellite rainfall, height data and land cover information. - Improve rainfall Analyze temporary and spatial rainfall: To identify and understand temporary and spatial trends in the rainy pattern in the last decade, contributing to better understanding of climate change in Nigeria. - Provide a valid future stating equipment: to develop a valid future tool through training, verification and testing data division - Assess the importance of contribution factors: To determine the relative importance of various geophysical and meteorological factors in affecting the pattern of rainfall, providing insight into the underlying drivers of rain variability. - Contribute to climate change optimization: To generate information that can support the development of effective climate change adaptation strategies in Nigeria by improving the understanding and prediction of rain patterns.