Tevfik Denizhan Müftüoğlu

A Comprehensive Comparative Analysis of Machine Learning Models for Daily Precipitation Forecasting Using Satellite-Based Meteorological Data

This research establishes that with robust, automated feature engineering, modern machine learning models can explain approximately 68% of the variance in daily precipitation, providing a valuable and rigorously validated tool for a wide range of hydrological applications and setting a realistic performance benchmark.