Extreme Event

Extreme events, encompassing high-impact phenomena like floods, heatwaves, and storms, are a major focus of scientific inquiry due to their increasing frequency and severity. Current research emphasizes improving the accuracy and reliability of extreme event prediction using advanced machine learning models, such as deep learning architectures (e.g., LSTMs, convolutional neural networks) and ensemble methods, often incorporating high-resolution datasets and explainable AI techniques. This work is crucial for enhancing disaster preparedness, risk assessment, and resource allocation, ultimately contributing to improved societal resilience and mitigation strategies.