Assessing rainfall prediction models: Exploring the advantages of machine learning and remote sensing approaches

• Main Authors: Latif S.D., Alyaa Binti Hazrin N., Hoon Koo C., Lin Ng J., Chaplot B., Feng Huang Y., El-Shafie A., Najah Ahmed A.
• Other Authors: 57216081524
• Format: Review
• Published: Elsevier B.V. 2024
• Subjects: Hybrid models; Machine learning; Prediction; Rainfall; Remote sensing; Climate models; Forecasting; Learning algorithms; Learning systems; Long short-term memory; Rain; Regression analysis; Satellite imagery; Hybrid model; Learn+; Machine-learning; Model learning; Prediction modelling; Predictive models; Rainfall prediction; Remote sensing approaches; Remote-sensing; Statistic modeling

Using a comparison of three different major types, the best predictive model was determined. Statistical models and machine learning algorithms automatically learn and improve based on data. Deep learning uses neural networks to learn complex data patterns and relationships. A combination of satelli...