Next-Gen Weather Forecasting: Deep Learning and Data Analysis

Next-Gen Weather Forecasting: Deep Learning and Data Analysis

A hybrid LSTM and physics-guided framework using multimodal data for accurate weather prediction

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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.