Fenil Gandhi

Benchmarking autoregressive machine learning models for daily rainfall forecasting as a baseline for hydrological applications

Accurate daily precipitation forecasting is a prerequisite for efficient reservoir operations, irrigation scheduling, and urban flood management, yet inherent predictability limits pose a significant challenge. This study quantifies these limits by evaluating a suite of seven machine learning models for one-day-ahead...