Next-Gen Weather Forecasting

This book delivers an end-to-end science-driven methodology for next-generation weather forecasting by integrating deep learning methods with physically based climate models. This book proposes a hybrid model incorporating multimodal data fusion temporal sequence learning and physics-constrained neural networks to improve forecast accuracy and credibility by a substantial margin.Using ground station satellite global reanalysis system and IoT-based data the framework resolves the spatial and temporal disconnects plaguing traditional prediction systems.